From 24f5a51ee0a15f345b59fcd2ef44c3616abdfce5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Alfredo=20Gonz=C3=A1lez?= <alfredo.arosteguy@gmail.com>
Date: Thu, 10 Aug 2023 16:14:03 -0400
Subject: [PATCH] chore(release): Bumps version to v6.6.0 and updates dist
 files

---
 dist/learning-objectives.json                 | 669 ++++++++++++++++--
 dist/projects.json                            | 462 +++++-------
 dist/projects/burger-queen-api-client.json    |   4 +-
 dist/projects/burger-queen-api.json           |   4 +-
 dist/projects/card-validation.json            |   4 +-
 dist/projects/chat-app.json                   |   4 +-
 dist/projects/cipher.json                     |   4 +-
 dist/projects/data-lovers.json                |   4 +-
 dist/projects/design-and-usability.json       |   4 +-
 dist/projects/design-detectives.json          |  45 +-
 dist/projects/design-lab.json                 |  59 ++
 dist/projects/emergency-room.json             |   4 +-
 dist/projects/fleet-management.json           |   4 +-
 dist/projects/how-might-we.json               |  17 +-
 dist/projects/industry-deep-dive.json         |  59 --
 dist/projects/job-application.json            |   4 +-
 dist/projects/md-links.json                   |   4 +-
 dist/projects/memory-match.json               |   4 +-
 dist/projects/mindset-mvp.json                |  54 ++
 dist/projects/movie-challenge-fw.json         |   4 +-
 dist/projects/movie-challenge.json            |   4 +-
 dist/projects/notes.json                      |   4 +-
 dist/projects/open-project.json               |   4 +-
 dist/projects/roman-numerals-slack.json       |   4 +-
 dist/projects/roman-numerals.json             |   4 +-
 dist/projects/small-businesses.json           |  56 --
 dist/projects/social-network-fw.json          |   4 +-
 dist/projects/social-network.json             |   4 +-
 dist/projects/text-analyzer.json              |   4 +-
 dist/projects/trivia.json                     |   4 +-
 dist/projects/ux-consultancy.json             |  59 --
 ...{uxploradora.json => uxploradoras-ui.json} |  52 +-
 dist/projects/uxploradoras-ux.json            |  23 +
 dist/projects/wordpress-plugin.json           |   4 +-
 dist/topics.json                              |  56 +-
 dist/topics/browser.json                      |   4 +-
 dist/topics/content-management.json           |   4 +-
 dist/topics/css.json                          |   4 +-
 dist/topics/functional.json                   |  26 +-
 dist/topics/html.json                         |   4 +-
 dist/topics/interaction-design.json           |   4 +-
 dist/topics/intro-ux.json                     |   4 +-
 dist/topics/javascript.json                   | 104 +--
 dist/topics/learning-mindset.json             |   4 +-
 dist/topics/paradigms.json                    |  50 +-
 dist/topics/prototyping.json                  |   4 +-
 dist/topics/scm.json                          |   4 +-
 dist/topics/shell.json                        |   4 +-
 dist/topics/ux-research.json                  |   4 +-
 package-lock.json                             |   4 +-
 package.json                                  |   2 +-
 51 files changed, 1154 insertions(+), 779 deletions(-)
 create mode 100644 dist/projects/design-lab.json
 delete mode 100644 dist/projects/industry-deep-dive.json
 create mode 100644 dist/projects/mindset-mvp.json
 delete mode 100644 dist/projects/small-businesses.json
 delete mode 100644 dist/projects/ux-consultancy.json
 rename dist/projects/{uxploradora.json => uxploradoras-ui.json} (95%)
 create mode 100644 dist/projects/uxploradoras-ux.json

diff --git a/dist/learning-objectives.json b/dist/learning-objectives.json
index 51e08a7ea..c4a5dbfee 100644
--- a/dist/learning-objectives.json
+++ b/dist/learning-objectives.json
@@ -91,17 +91,6 @@
       "metrics",
       "benchmark"
     ],
-    "research": [
-      "planning",
-      "support",
-      "guidelines",
-      "interview",
-      "documentation",
-      "adaptation",
-      "sources",
-      "test",
-      "cuantitative-data"
-    ],
     "synthesis": [
       "weighing",
       "patterns",
@@ -339,6 +328,97 @@
         ]
       },
       "decorators"
+    ],
+    "agile-planning": [
+      "scope",
+      "workplan",
+      "tasks"
+    ],
+    "business-understanding": [
+      "business-model",
+      "goals-and-kpis",
+      "benchmark"
+    ],
+    "research": [
+      "support",
+      "guidelines",
+      "interview",
+      "documentation",
+      "adaptation",
+      "sources",
+      "test",
+      "cuantitative-data",
+      {
+        "planning": [
+          "research-plan",
+          "desk-research",
+          "research-sample",
+          "participants"
+        ]
+      },
+      {
+        "qualitative": [
+          "user-interviews",
+          "exploratory-techniques"
+        ]
+      },
+      {
+        "quantitative": [
+          "user-surveys",
+          "analytical-techniques"
+        ]
+      },
+      {
+        "analysis": [
+          "process-information",
+          "experience-mapping",
+          "identify-patterns",
+          "synthesize-results"
+        ]
+      }
+    ],
+    "design-concept": [
+      "define-mvp",
+      "design-references",
+      "ideate",
+      "prioritize-ideas"
+    ],
+    "interaction-design": [
+      "user-flows",
+      "usability",
+      "information-architecture"
+    ],
+    "content-design": [
+      "voice-tone",
+      "create-content"
+    ],
+    "interface-design": [
+      "visual-design",
+      "accesibility",
+      "responsive-design"
+    ],
+    "design-prototype": [
+      "basic-prototypes",
+      "high-fidelity",
+      "advanced-interactions"
+    ],
+    "usability-analysis": [
+      "moderated-testing",
+      "heuristic-analysis",
+      "non-moderated-testing"
+    ],
+    "design-pitch": [
+      "design-feedback",
+      "design-presentation"
+    ],
+    "design-specs": [
+      "file-organization",
+      "use-cases",
+      "project-documentation"
+    ],
+    "design-systems": [
+      "atomic-design",
+      "design-system"
     ]
   },
   "flat": [
@@ -405,16 +485,6 @@
     "business/goals",
     "business/metrics",
     "business/benchmark",
-    "research",
-    "research/planning",
-    "research/support",
-    "research/guidelines",
-    "research/interview",
-    "research/documentation",
-    "research/adaptation",
-    "research/sources",
-    "research/test",
-    "research/cuantitative-data",
     "synthesis",
     "synthesis/weighing",
     "synthesis/patterns",
@@ -597,11 +667,78 @@
     "typescript/classes/static-members",
     "typescript/classes/this",
     "typescript/classes/abstract-classes",
-    "typescript/decorators"
+    "typescript/decorators",
+    "agile-planning",
+    "agile-planning/scope",
+    "agile-planning/workplan",
+    "agile-planning/tasks",
+    "business-understanding",
+    "business-understanding/business-model",
+    "business-understanding/goals-and-kpis",
+    "business-understanding/benchmark",
+    "research",
+    "research/support",
+    "research/guidelines",
+    "research/interview",
+    "research/documentation",
+    "research/adaptation",
+    "research/sources",
+    "research/test",
+    "research/cuantitative-data",
+    "research/planning",
+    "research/planning/research-plan",
+    "research/planning/desk-research",
+    "research/planning/research-sample",
+    "research/planning/participants",
+    "research/qualitative",
+    "research/qualitative/user-interviews",
+    "research/qualitative/exploratory-techniques",
+    "research/quantitative",
+    "research/quantitative/user-surveys",
+    "research/quantitative/analytical-techniques",
+    "research/analysis",
+    "research/analysis/process-information",
+    "research/analysis/experience-mapping",
+    "research/analysis/identify-patterns",
+    "research/analysis/synthesize-results",
+    "design-concept",
+    "design-concept/define-mvp",
+    "design-concept/design-references",
+    "design-concept/ideate",
+    "design-concept/prioritize-ideas",
+    "interaction-design",
+    "interaction-design/user-flows",
+    "interaction-design/usability",
+    "interaction-design/information-architecture",
+    "content-design",
+    "content-design/voice-tone",
+    "content-design/create-content",
+    "interface-design",
+    "interface-design/visual-design",
+    "interface-design/accesibility",
+    "interface-design/responsive-design",
+    "design-prototype",
+    "design-prototype/basic-prototypes",
+    "design-prototype/high-fidelity",
+    "design-prototype/advanced-interactions",
+    "usability-analysis",
+    "usability-analysis/moderated-testing",
+    "usability-analysis/heuristic-analysis",
+    "usability-analysis/non-moderated-testing",
+    "design-pitch",
+    "design-pitch/design-feedback",
+    "design-pitch/design-presentation",
+    "design-specs",
+    "design-specs/file-organization",
+    "design-specs/use-cases",
+    "design-specs/project-documentation",
+    "design-systems",
+    "design-systems/atomic-design",
+    "design-systems/design-system"
   ],
   "intl": {
     "es": {
-      "description": "Reflexiona y luego marca los objetivos que has llegado a entender y aplicar en tu proyecto. Piensa en eso al decidir tu estrategia de trabajo.\n",
+      "description": "\nReflexiona y luego marca los objetivos que has llegado a entender y aplicar en tu proyecto. Piensa en eso al decidir tu estrategia de trabajo.\n",
       "html": {
         "title": "HTML"
       },
@@ -2361,6 +2498,178 @@
             "url": "https://www.typescriptlang.org/docs/handbook/decorators.html"
           }
         ]
+      },
+      "agile-planning/scope": {
+        "title": "Definir alcance general",
+        "description": "Definir un alcance preliminar del proyecto en conjunto con los stakeholders involucrados"
+      },
+      "agile-planning/workplan": {
+        "title": "Crear plan de trabajo",
+        "description": "Crear un plan de trabajo con actividades priorizadas según cada etapa del proyecto"
+      },
+      "agile-planning/tasks": {
+        "title": "Gestionar tareas",
+        "description": "Gestionar tareas mediante la implementación de ceremonias y herramientas de Scrum"
+      },
+      "business-understanding/business-model": {
+        "title": "Comprender el modelo de negocio",
+        "description": "Entender cómo genera valor el negocio y la visión de quienes lideran el proyecto"
+      },
+      "business-understanding/goals-and-kpis": {
+        "title": "Comprender objetivos e indicadores clave",
+        "description": "Comprender los objetivos del negocio y los indicadores de éxito relacionados con el proyecto"
+      },
+      "business-understanding/benchmark": {
+        "title": "Analizar competidores",
+        "description": "Analizar el negocio o producto respecto a sus competidores locales y globales"
+      },
+      "research/planning/research-plan": {
+        "title": "Definir la investigación",
+        "description": "Planificar la investigación basada en el contexto y objetivos del proyecto"
+      },
+      "research/planning/desk-research": {
+        "title": "Analizar información existente",
+        "description": "Analizar información existente que sirva de guía para plantear la investigación con usuarios"
+      },
+      "research/planning/research-sample": {
+        "title": "Definir muestra",
+        "description": "Definir el perfil y número de usuarios (muestra) que participan en la investigación"
+      },
+      "research/planning/participants": {
+        "title": "Gestionar participantes",
+        "description": "Gestionar la participación de los usuarios en las actividades de investigación"
+      },
+      "research/qualitative/user-interviews": {
+        "title": "Realizar entrevistas",
+        "description": "Crear guión de entrevista, validar las preguntas y entrevistar evitando sesgos"
+      },
+      "research/qualitative/exploratory-techniques": {
+        "title": "Explorar técnicas cualitativas",
+        "description": "Explorar otras técnicas de investigación cualitativa según el contexto del proyecto (card sorting abierto, estudios de campo, etc.)"
+      },
+      "research/quantitative/user-surveys": {
+        "title": "Realizar encuestas",
+        "description": "Crear encuesta, testear e iterar las preguntas, implementar la encuesta efectivamente"
+      },
+      "research/quantitative/analytical-techniques": {
+        "title": "Explorar técnicas analíticas",
+        "description": "Explorar herramientas de monitoreo de acciones de usuarios (mapa de calor, analytics, card sorting cerrado, etc.)"
+      },
+      "research/analysis/process-information": {
+        "title": "Procesar información",
+        "description": "Procesar a profundidad la información obtenida evitando sesgos"
+      },
+      "research/analysis/experience-mapping": {
+        "title": "Mapear la experiencia",
+        "description": "Visualizar la información obtenida de los usuarios mediante alguna técnica de documentación UX"
+      },
+      "research/analysis/identify-patterns": {
+        "title": "Identificar patrones",
+        "description": "Identificar patrones, observaciones o hallazgos en la información recolectada"
+      },
+      "research/analysis/synthesize-results": {
+        "title": "Sintetizar resultados",
+        "description": "Delimitar el problema o necesidad de las personas usuarias que debe resolver el proyecto"
+      },
+      "design-concept/define-mvp": {
+        "title": "Definir MVP",
+        "description": "Definir las funcionalidades que debe incluir el Mínimo Producto Viable/Deseable (MVP)"
+      },
+      "design-concept/design-references": {
+        "title": "Buscar inspiración",
+        "description": "Analizar distintas referencias y fuentes de inspiración para el proyecto"
+      },
+      "design-concept/ideate": {
+        "title": "Idear soluciones",
+        "description": "Implementar métodos de ideación para proponer soluciones al problema priorizado"
+      },
+      "design-concept/prioritize-ideas": {
+        "title": "Priorizar ideas",
+        "description": "Definir criterios de priorización de ideas, alineados con los objetivos del proyecto y necesidades de las personas usuarias"
+      },
+      "interaction-design/user-flows": {
+        "title": "Crear flujos de usuario",
+        "description": "Crear y visualizar los flujos de interacción de la propuesta (diagramas, wireframes, bocetos)"
+      },
+      "interaction-design/usability": {
+        "title": "Utilizar principios de usabilidad",
+        "description": "Incorporar principios básicos de usabilidad dentro de la propuesta (claro, predecible y consistente)"
+      },
+      "interaction-design/information-architecture": {
+        "title": "Crear la arquitectura de información",
+        "description": "Implementar principios básicos de arquitectura de información (categorías, etiquetas, navegación y búsqueda)"
+      },
+      "content-design/voice-tone": {
+        "title": "Definir guía de voz y tono",
+        "description": "Crear una guía básica de voz y tono para contenido UX"
+      },
+      "content-design/create-content": {
+        "title": "Crear contenidos",
+        "description": "Definir el contenido (texto e imágenes) que debe incluir la propuesta de diseño"
+      },
+      "interface-design/visual-design": {
+        "title": "Crear propuesta de diseño visual",
+        "description": "Definir las características de los elementos visuales del diseño (colores, tipografías, íconos, imágenes, espaciado)"
+      },
+      "interface-design/accesibility": {
+        "title": "Utilizar principios de accesibilidad",
+        "description": "Asegurar que la propuesta cumpla con principios básicos de accesibilidad (perceptibilidad y operabilidad)"
+      },
+      "interface-design/responsive-design": {
+        "title": "Implementar diseño responsivo",
+        "description": "Crear diseños que se adapten a diferentes dispositivos utilizando principios de responsive design"
+      },
+      "design-prototype/basic-prototypes": {
+        "title": "Crear prototipos básicos",
+        "description": "Crear prototipos navegables en baja o media fidelidad que representen los flujos funcionales"
+      },
+      "design-prototype/high-fidelity": {
+        "title": "Crear prototipos en alta fidelidad",
+        "description": "Crear prototipos navegables en alta fidelidad que simulen la solución"
+      },
+      "design-prototype/advanced-interactions": {
+        "title": "Utilizar interacciones avanzadas",
+        "description": "Incluir interacciones avanzadas en los prototipos según sea necesario"
+      },
+      "usability-analysis/moderated-testing": {
+        "title": "Realizar pruebas moderadas",
+        "description": "Identificar errores de usabilidad mediante pruebas moderadas utilizando prototipos"
+      },
+      "usability-analysis/heuristic-analysis": {
+        "title": "Realizar análisis heurísticos",
+        "description": "Realizar análisis heurísticos de diseños propuestos o existentes"
+      },
+      "usability-analysis/non-moderated-testing": {
+        "title": "Realizar pruebas no-moderadas",
+        "description": "Utilizar herramientas para pruebas de usabilidad no-moderadas"
+      },
+      "design-pitch/design-feedback": {
+        "title": "Recolectar feedback de diseño",
+        "description": "Recolectar feedback técnico de diseño mediante sesiones de crítica colaborativa (Design Critiques, Demos con POs, etc.)"
+      },
+      "design-pitch/design-presentation": {
+        "title": "Presentar ante el negocio",
+        "description": "Presentar resultados de investigación, propuestas y proceso de diseño utilizando principios de \"story-telling\""
+      },
+      "design-specs/file-organization": {
+        "title": "Organizar documentos de Figma",
+        "description": "Organizar el documento de diseño (Figma) siguiendo buenas prácticas de nombrado y agrupado de capas o componentes"
+      },
+      "design-specs/use-cases": {
+        "title": "Documentar casos de uso",
+        "description": "Documentar los estados de los componentes interactivos y sus casos de uso"
+      },
+      "design-specs/project-documentation": {
+        "title": "Documentar el proyecto de diseño",
+        "description": "Documentar el proceso de diseño para fundamentar las decisiones tomadas durante el proyecto"
+      },
+      "design-systems/atomic-design": {
+        "title": "Implementar Atomic Design",
+        "description": "Crear una librería de componentes (UI Kit) siguiendo los principios de Atomic Design"
+      },
+      "design-systems/design-system": {
+        "title": "Utilizar sistemas de diseño",
+        "description": "Utilizar un sistema de diseño existente como base para la propuesta de diseño"
       }
     },
     "pt": {
@@ -4420,56 +4729,6 @@
       "es": "Entender estado del negocio en relación con el mercado local y global",
       "pt": "Entendendo a situação do negócio em relação ao mercado local e global"
     },
-    {
-      "key": "research",
-      "es": "Investigación",
-      "pt": "Pesquisa"
-    },
-    {
-      "key": "research/planning",
-      "es": "Planificar investigación basada en las necesidades del proyecto",
-      "pt": "Planejamento da pesquisa com base nas necessidades do projeto"
-    },
-    {
-      "key": "research/support",
-      "es": "Elegir y sustentar el # usuarias que participan en actividades de investigación",
-      "pt": "Escolha e apoie os # usuários que participam de atividades de pesquisa"
-    },
-    {
-      "key": "research/guidelines",
-      "es": "Crear y probar guía de actividades de investigación",
-      "pt": "Criar e testar guia de atividades de pesquisa"
-    },
-    {
-      "key": "research/interview",
-      "es": "Realizar entrevistas con usuarias empáticas y sin sesgos",
-      "pt": "Conduzindo entrevistas com usuários empáticos e imparciais"
-    },
-    {
-      "key": "research/documentation",
-      "es": "Documentar entrevistas y testeos",
-      "pt": "Documentar entrevistas e testes"
-    },
-    {
-      "key": "research/adaptation",
-      "es": "Adaptar plan de investigación de acuerdo a resultados obtenidos",
-      "pt": "Adaptar o plano de pesquisa de acordo com os resultados obtidos"
-    },
-    {
-      "key": "research/sources",
-      "es": "Identificar y revisar distintas fuentes de información e inspiración relevantes para el proyecto",
-      "pt": "Identificar e revisar diferentes fontes de informação e inspiração relevantes para o projeto"
-    },
-    {
-      "key": "research/test",
-      "es": "Planear y ejecutar testeos de usabilidad de prototipos en distintos niveles de fidelidad",
-      "pt": "Planejar e executar testes de usabilidade"
-    },
-    {
-      "key": "research/cuantitative-data",
-      "es": "Recopilar, analizar e interpretar data cuantitativa",
-      "pt": "Coletar, analisar e interpretar dados quantitativos"
-    },
     {
       "key": "synthesis",
       "es": "Síntesis",
@@ -5346,6 +5605,270 @@
       "key": "typescript/decorators",
       "es": "Decoradores",
       "pt": "Decoradores"
+    },
+    {
+      "key": "agile-planning"
+    },
+    {
+      "key": "agile-planning/scope",
+      "es": "Definir alcance general"
+    },
+    {
+      "key": "agile-planning/workplan",
+      "es": "Crear plan de trabajo"
+    },
+    {
+      "key": "agile-planning/tasks",
+      "es": "Gestionar tareas"
+    },
+    {
+      "key": "business-understanding"
+    },
+    {
+      "key": "business-understanding/business-model",
+      "es": "Comprender el modelo de negocio"
+    },
+    {
+      "key": "business-understanding/goals-and-kpis",
+      "es": "Comprender objetivos e indicadores clave"
+    },
+    {
+      "key": "business-understanding/benchmark",
+      "es": "Analizar competidores"
+    },
+    {
+      "key": "research",
+      "es": "Investigación",
+      "pt": "Pesquisa"
+    },
+    {
+      "key": "research/support",
+      "es": "Elegir y sustentar el # usuarias que participan en actividades de investigación",
+      "pt": "Escolha e apoie os # usuários que participam de atividades de pesquisa"
+    },
+    {
+      "key": "research/guidelines",
+      "es": "Crear y probar guía de actividades de investigación",
+      "pt": "Criar e testar guia de atividades de pesquisa"
+    },
+    {
+      "key": "research/interview",
+      "es": "Realizar entrevistas con usuarias empáticas y sin sesgos",
+      "pt": "Conduzindo entrevistas com usuários empáticos e imparciais"
+    },
+    {
+      "key": "research/documentation",
+      "es": "Documentar entrevistas y testeos",
+      "pt": "Documentar entrevistas e testes"
+    },
+    {
+      "key": "research/adaptation",
+      "es": "Adaptar plan de investigación de acuerdo a resultados obtenidos",
+      "pt": "Adaptar o plano de pesquisa de acordo com os resultados obtidos"
+    },
+    {
+      "key": "research/sources",
+      "es": "Identificar y revisar distintas fuentes de información e inspiración relevantes para el proyecto",
+      "pt": "Identificar e revisar diferentes fontes de informação e inspiração relevantes para o projeto"
+    },
+    {
+      "key": "research/test",
+      "es": "Planear y ejecutar testeos de usabilidad de prototipos en distintos niveles de fidelidad",
+      "pt": "Planejar e executar testes de usabilidade"
+    },
+    {
+      "key": "research/cuantitative-data",
+      "es": "Recopilar, analizar e interpretar data cuantitativa",
+      "pt": "Coletar, analisar e interpretar dados quantitativos"
+    },
+    {
+      "key": "research/planning",
+      "es": "Planificar investigación basada en las necesidades del proyecto",
+      "pt": "Planejamento da pesquisa com base nas necessidades do projeto"
+    },
+    {
+      "key": "research/planning/research-plan",
+      "es": "Definir la investigación"
+    },
+    {
+      "key": "research/planning/desk-research",
+      "es": "Analizar información existente"
+    },
+    {
+      "key": "research/planning/research-sample",
+      "es": "Definir muestra"
+    },
+    {
+      "key": "research/planning/participants",
+      "es": "Gestionar participantes"
+    },
+    {
+      "key": "research/qualitative"
+    },
+    {
+      "key": "research/qualitative/user-interviews",
+      "es": "Realizar entrevistas"
+    },
+    {
+      "key": "research/qualitative/exploratory-techniques",
+      "es": "Explorar técnicas cualitativas"
+    },
+    {
+      "key": "research/quantitative"
+    },
+    {
+      "key": "research/quantitative/user-surveys",
+      "es": "Realizar encuestas"
+    },
+    {
+      "key": "research/quantitative/analytical-techniques",
+      "es": "Explorar técnicas analíticas"
+    },
+    {
+      "key": "research/analysis"
+    },
+    {
+      "key": "research/analysis/process-information",
+      "es": "Procesar información"
+    },
+    {
+      "key": "research/analysis/experience-mapping",
+      "es": "Mapear la experiencia"
+    },
+    {
+      "key": "research/analysis/identify-patterns",
+      "es": "Identificar patrones"
+    },
+    {
+      "key": "research/analysis/synthesize-results",
+      "es": "Sintetizar resultados"
+    },
+    {
+      "key": "design-concept"
+    },
+    {
+      "key": "design-concept/define-mvp",
+      "es": "Definir MVP"
+    },
+    {
+      "key": "design-concept/design-references",
+      "es": "Buscar inspiración"
+    },
+    {
+      "key": "design-concept/ideate",
+      "es": "Idear soluciones"
+    },
+    {
+      "key": "design-concept/prioritize-ideas",
+      "es": "Priorizar ideas"
+    },
+    {
+      "key": "interaction-design"
+    },
+    {
+      "key": "interaction-design/user-flows",
+      "es": "Crear flujos de usuario"
+    },
+    {
+      "key": "interaction-design/usability",
+      "es": "Utilizar principios de usabilidad"
+    },
+    {
+      "key": "interaction-design/information-architecture",
+      "es": "Crear la arquitectura de información"
+    },
+    {
+      "key": "content-design"
+    },
+    {
+      "key": "content-design/voice-tone",
+      "es": "Definir guía de voz y tono"
+    },
+    {
+      "key": "content-design/create-content",
+      "es": "Crear contenidos"
+    },
+    {
+      "key": "interface-design"
+    },
+    {
+      "key": "interface-design/visual-design",
+      "es": "Crear propuesta de diseño visual"
+    },
+    {
+      "key": "interface-design/accesibility",
+      "es": "Utilizar principios de accesibilidad"
+    },
+    {
+      "key": "interface-design/responsive-design",
+      "es": "Implementar diseño responsivo"
+    },
+    {
+      "key": "design-prototype"
+    },
+    {
+      "key": "design-prototype/basic-prototypes",
+      "es": "Crear prototipos básicos"
+    },
+    {
+      "key": "design-prototype/high-fidelity",
+      "es": "Crear prototipos en alta fidelidad"
+    },
+    {
+      "key": "design-prototype/advanced-interactions",
+      "es": "Utilizar interacciones avanzadas"
+    },
+    {
+      "key": "usability-analysis"
+    },
+    {
+      "key": "usability-analysis/moderated-testing",
+      "es": "Realizar pruebas moderadas"
+    },
+    {
+      "key": "usability-analysis/heuristic-analysis",
+      "es": "Realizar análisis heurísticos"
+    },
+    {
+      "key": "usability-analysis/non-moderated-testing",
+      "es": "Realizar pruebas no-moderadas"
+    },
+    {
+      "key": "design-pitch"
+    },
+    {
+      "key": "design-pitch/design-feedback",
+      "es": "Recolectar feedback de diseño"
+    },
+    {
+      "key": "design-pitch/design-presentation",
+      "es": "Presentar ante el negocio"
+    },
+    {
+      "key": "design-specs"
+    },
+    {
+      "key": "design-specs/file-organization",
+      "es": "Organizar documentos de Figma"
+    },
+    {
+      "key": "design-specs/use-cases",
+      "es": "Documentar casos de uso"
+    },
+    {
+      "key": "design-specs/project-documentation",
+      "es": "Documentar el proyecto de diseño"
+    },
+    {
+      "key": "design-systems"
+    },
+    {
+      "key": "design-systems/atomic-design",
+      "es": "Implementar Atomic Design"
+    },
+    {
+      "key": "design-systems/design-system",
+      "es": "Utilizar sistemas de diseño"
     }
   ]
 }
\ No newline at end of file
diff --git a/dist/projects.json b/dist/projects.json
index 3b7fe5b9a..bdfc8cf63 100644
--- a/dist/projects.json
+++ b/dist/projects.json
@@ -3,18 +3,19 @@
     "slug": "how-might-we",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/00-how-might-we",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:25:44.189Z",
+    "createdAt": "2023-08-10T20:09:24.942Z",
     "prefix": 0,
     "track": "ux",
     "learningObjectives": [
-      "user-centricity/user-oriented",
-      "synthesis/ideation",
-      "product-design/user-flows",
-      "product-design/fidelity",
-      "communication/case-study",
-      "planning/prioritization"
+      "agile-planning/tasks",
+      "design-concept/ideate",
+      "design-concept/prioritize-ideas",
+      "interaction-design/user-flows",
+      "interface-design/visual-design",
+      "design-prototype/basic-prototypes",
+      "design-specs/project-documentation"
     ],
     "intl": {
       "es": {
@@ -29,9 +30,9 @@
     "slug": "trivia",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/00-trivia",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:25:44.222Z",
+    "createdAt": "2023-08-10T20:09:25.080Z",
     "prefix": 0,
     "track": "web-dev",
     "learningObjectives": [
@@ -66,9 +67,9 @@
     "slug": "card-validation",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/01-card-validation",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:25:44.312Z",
+    "createdAt": "2023-08-10T20:09:25.062Z",
     "prefix": 1,
     "track": "web-dev",
     "learningObjectives": [
@@ -113,9 +114,9 @@
     "slug": "cipher",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/01-cipher",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:25:48.491Z",
+    "createdAt": "2023-08-10T20:09:25.046Z",
     "prefix": 1,
     "track": "web-dev",
     "learningObjectives": [
@@ -160,9 +161,9 @@
     "slug": "design-and-usability",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/01-design-and-usability",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:25:48.263Z",
+    "createdAt": "2023-08-10T20:09:24.984Z",
     "prefix": 1,
     "track": "ux",
     "learningObjectives": [
@@ -193,33 +194,32 @@
     "slug": "design-detectives",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/01-design-detectives",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:25:48.276Z",
+    "createdAt": "2023-08-10T20:09:25.046Z",
     "prefix": 1,
     "track": "ux",
     "learningObjectives": [
-      "user-centricity/user-oriented",
-      "user-centricity/prioritization",
-      "research/planning",
-      "research/support",
-      "research/guidelines",
-      "research/interview",
-      "research/documentation",
-      "research/adaptation",
-      "research/sources",
-      "synthesis/patterns",
-      "synthesis/mapping",
-      "synthesis/ideation",
-      "synthesis/feature-prioritization",
-      "product-design/user-flows",
-      "product-design/usability",
-      "product-design/visual-design",
-      "product-design/project-organization",
-      "communication/case-study",
-      "planning/monitor",
-      "planning/prioritization",
-      "planning/tools"
+      "agile-planning/tasks",
+      "business-understanding/benchmark",
+      "research/analysis/synthesize-results",
+      "design-concept/define-mvp",
+      "design-concept/design-references",
+      "design-concept/ideate",
+      "design-concept/prioritize-ideas",
+      "interaction-design/user-flows",
+      "interaction-design/usability",
+      "interaction-design/information-architecture",
+      "interface-design/visual-design",
+      "interface-design/accesibility",
+      "design-prototype/basic-prototypes",
+      "usability-analysis/moderated-testing",
+      "usability-analysis/heuristic-analysis",
+      "design-pitch/design-feedback",
+      "design-pitch/design-presentation",
+      "design-specs/file-organization",
+      "design-specs/use-cases",
+      "design-specs/project-documentation"
     ],
     "intl": {
       "es": {
@@ -234,9 +234,9 @@
     "slug": "text-analyzer",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/01-text-analyzer",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:25:52.775Z",
+    "createdAt": "2023-08-10T20:09:25.095Z",
     "prefix": 1,
     "track": "web-dev",
     "learningObjectives": [
@@ -277,9 +277,9 @@
     "slug": "data-lovers",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/02-data-lovers",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:25:52.778Z",
+    "createdAt": "2023-08-10T20:09:26.094Z",
     "prefix": 2,
     "track": "web-dev",
     "learningObjectives": [
@@ -330,9 +330,9 @@
     "slug": "emergency-room",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/02-emergency-room",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:25:52.515Z",
+    "createdAt": "2023-08-10T20:09:26.032Z",
     "prefix": 2,
     "track": "web-dev",
     "learningObjectives": [
@@ -383,9 +383,9 @@
     "slug": "memory-match",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/02-memory-match",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:25:56.247Z",
+    "createdAt": "2023-08-10T20:09:26.069Z",
     "prefix": 2,
     "track": "web-dev",
     "learningObjectives": [
@@ -432,13 +432,67 @@
     "cover": "https://user-images.githubusercontent.com/110297/135919005-66aefadb-c462-49e2-bf10-2374f2e47688.png",
     "thumb": 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"
   },
+  {
+    "slug": "mindset-mvp",
+    "repo": "Laboratoria/bootcamp",
+    "path": "projects/02-mindset-mvp",
+    "version": "6.6.0",
+    "parserVersion": "5.0.0-beta.0",
+    "createdAt": "2023-08-10T20:09:25.958Z",
+    "prefix": 2,
+    "track": "ux",
+    "learningObjectives": [
+      "agile-planning/workplan",
+      "agile-planning/tasks",
+      "business-understanding/business-model",
+      "business-understanding/goals-and-kpis",
+      "business-understanding/benchmark",
+      "research/planning/research-plan",
+      "research/planning/desk-research",
+      "research/planning/research-sample",
+      "research/planning/participants",
+      "research/qualitative/user-interviews",
+      "research/analysis/process-information",
+      "research/analysis/experience-mapping",
+      "research/analysis/identify-patterns",
+      "research/analysis/synthesize-results",
+      "design-concept/define-mvp",
+      "design-concept/design-references",
+      "design-concept/ideate",
+      "design-concept/prioritize-ideas",
+      "interaction-design/user-flows",
+      "interaction-design/usability",
+      "interaction-design/information-architecture",
+      "content-design/create-content",
+      "interface-design/visual-design",
+      "interface-design/accesibility",
+      "design-prototype/basic-prototypes",
+      "design-prototype/high-fidelity",
+      "usability-analysis/moderated-testing",
+      "usability-analysis/heuristic-analysis",
+      "design-pitch/design-feedback",
+      "design-pitch/design-presentation",
+      "design-specs/file-organization",
+      "design-specs/use-cases",
+      "design-specs/project-documentation",
+      "design-systems/atomic-design"
+    ],
+    "intl": {
+      "es": {
+        "title": "Mindset MVP",
+        "summary": "<p>Trabajarás con tu squad haciendo consultoría UX a una startup. En este proyecto\nliderarán el 100% de los espacios con clientes (workshops, weeklys,\ncomunicación, entregables, etc). Este proyecto es abierto y podrá incluir\ntrabajo con otros perfiles como desarrolladoras, product managers, etc.\nAnteriores retos han incluido empresas como Kmimos, Guvery, Sinenvolturas,\nMagical Startups, Laboratoria, entre otras.</p>"
+      }
+    },
+    "cover": null,
+    "thumb": 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+  },
   {
     "slug": "movie-challenge",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/02-movie-challenge",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:25:56.010Z",
+    "createdAt": "2023-08-10T20:09:25.998Z",
     "prefix": 2,
     "track": "web-dev",
     "learningObjectives": [
@@ -486,114 +540,22 @@
     "thumb": 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"
   },
   {
-    "slug": "small-businesses",
-    "repo": "Laboratoria/bootcamp",
-    "path": "projects/02-small-businesses",
-    "version": "6.5.1",
-    "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:25:55.914Z",
-    "prefix": 2,
-    "track": "ux",
-    "learningObjectives": [
-      "user-centricity/user-oriented",
-      "user-centricity/prioritization",
-      "business/model",
-      "business/goals",
-      "business/metrics",
-      "business/benchmark",
-      "research/planning",
-      "research/support",
-      "research/guidelines",
-      "research/interview",
-      "research/documentation",
-      "research/adaptation",
-      "research/sources",
-      "research/test",
-      "synthesis/weighing",
-      "synthesis/patterns",
-      "synthesis/insights",
-      "synthesis/mapping",
-      "synthesis/features",
-      "synthesis/ideation",
-      "synthesis/feature-prioritization",
-      "product-design/user-flows",
-      "product-design/content",
-      "product-design/fidelity",
-      "product-design/interactivity",
-      "product-design/usability",
-      "product-design/visual-design",
-      "product-design/component-organization",
-      "product-design/project-organization",
-      "communication/presentation",
-      "communication/negotiation",
-      "communication/relationship-management",
-      "communication/case-study",
-      "planning/monitor",
-      "planning/prioritization",
-      "planning/tools"
-    ],
-    "intl": {
-      "es": {
-        "title": "Pequeñas empresas",
-        "summary": "<p>Ayudarás a un emprendimiento a conocer las necesidades de sus usuarios actuales\ny, luego de priorizar las soluciones, crearás una propuesta de valor\nasegurándote que resuelva las necesidades de esos usuarios.</p>"
-      }
-    },
-    "cover": null,
-    "thumb": 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-  },
-  {
-    "slug": "uxploradora",
+    "slug": "uxploradoras-ui",
     "repo": "Laboratoria/bootcamp",
-    "path": "projects/02-uxploradora",
-    "version": "6.5.1",
+    "path": "projects/02-uxploradoras-ui",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:00.047Z",
+    "createdAt": "2023-08-10T20:09:25.996Z",
     "prefix": 2,
     "track": "ux",
     "learningObjectives": [
-      "user-centricity/user-oriented",
-      "user-centricity/prioritization",
-      "business/model",
-      "business/goals",
-      "business/metrics",
-      "business/benchmark",
-      "research/planning",
-      "research/support",
-      "research/guidelines",
-      "research/interview",
-      "research/documentation",
-      "research/adaptation",
-      "research/sources",
-      "research/test",
-      "research/cuantitative-data",
-      "synthesis/weighing",
-      "synthesis/patterns",
-      "synthesis/insights",
-      "synthesis/mapping",
-      "synthesis/features",
-      "synthesis/ideation",
-      "synthesis/feature-prioritization",
-      "product-design/user-flows",
-      "product-design/content",
-      "product-design/fidelity",
-      "product-design/interactivity",
-      "product-design/usability",
-      "product-design/accessibility",
-      "product-design/visual-design",
-      "product-design/component-organization",
-      "product-design/project-organization",
-      "product-design/documentation",
-      "communication/presentation",
-      "communication/negotiation",
-      "communication/relationship-management",
-      "communication/case-study",
-      "planning/monitor",
-      "planning/prioritization",
-      "planning/tools"
+      "agile-planning/scope",
+      "agile-planning/workplan",
+      "agile-planning/tasks"
     ],
     "intl": {
       "es": {
-        "title": "UXploradoras",
+        "title": "UXploradoras en el multiverso UI",
         "summary": "<p>Este es un proyecto flexible que puedes adecuar según el contexto de aprendizaje\nen el que te encuentres. En conjunto con el equipo de Laboratoria, vas a elegir\nUNA de las 3 opciones disponibles, para poner en práctica técnicas y\nherramientas específicas según una etapa de diseño específica.</p>"
       }
     },
@@ -601,71 +563,71 @@
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   },
   {
-    "slug": "industry-deep-dive",
+    "slug": "design-lab",
     "repo": "Laboratoria/bootcamp",
-    "path": "projects/03-industry-deep-dive",
-    "version": "6.5.1",
+    "path": "projects/03-design-lab",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:25:59.954Z",
+    "createdAt": "2023-08-10T20:09:26.088Z",
     "prefix": 3,
     "track": "ux",
     "learningObjectives": [
-      "user-centricity/user-oriented",
-      "user-centricity/prioritization",
-      "business/model",
-      "business/goals",
-      "business/metrics",
-      "business/benchmark",
-      "research/planning",
-      "research/support",
-      "research/guidelines",
-      "research/interview",
-      "research/documentation",
-      "research/adaptation",
-      "research/sources",
-      "research/test",
-      "research/cuantitative-data",
-      "synthesis/weighing",
-      "synthesis/patterns",
-      "synthesis/insights",
-      "synthesis/mapping",
-      "synthesis/features",
-      "synthesis/ideation",
-      "synthesis/feature-prioritization",
-      "product-design/user-flows",
-      "product-design/content",
-      "product-design/fidelity",
-      "product-design/interactivity",
-      "product-design/usability",
-      "product-design/accessibility",
-      "product-design/visual-design",
-      "product-design/component-organization",
-      "product-design/project-organization",
-      "product-design/documentation",
-      "communication/presentation",
-      "communication/negotiation",
-      "communication/relationship-management",
-      "communication/case-study",
-      "planning/monitor",
-      "planning/prioritization",
-      "planning/tools"
+      "agile-planning/scope",
+      "agile-planning/workplan",
+      "agile-planning/tasks",
+      "business-understanding/business-model",
+      "business-understanding/goals-and-kpis",
+      "business-understanding/benchmark",
+      "research/planning/research-plan",
+      "research/planning/desk-research",
+      "research/planning/research-sample",
+      "research/planning/participants",
+      "research/qualitative/user-interviews",
+      "research/qualitative/exploratory-techniques",
+      "research/quantitative/user-surveys",
+      "research/quantitative/analytical-techniques",
+      "research/analysis/process-information",
+      "research/analysis/experience-mapping",
+      "research/analysis/identify-patterns",
+      "research/analysis/synthesize-results",
+      "design-concept/define-mvp",
+      "design-concept/design-references",
+      "design-concept/ideate",
+      "design-concept/prioritize-ideas",
+      "interaction-design/user-flows",
+      "interaction-design/usability",
+      "interaction-design/information-architecture",
+      "content-design/create-content",
+      "interface-design/visual-design",
+      "interface-design/accesibility",
+      "design-prototype/basic-prototypes",
+      "design-prototype/high-fidelity",
+      "usability-analysis/moderated-testing",
+      "usability-analysis/heuristic-analysis",
+      "design-pitch/design-feedback",
+      "design-pitch/design-presentation",
+      "design-specs/file-organization",
+      "design-specs/use-cases",
+      "design-specs/project-documentation",
+      "design-systems/atomic-design",
+      "design-systems/design-system"
     ],
     "intl": {
       "es": {
-        "title": "Industry deep dive",
+        "title": "Design Lab",
         "summary": "<p>Podrás elegir entre resolver un reto de uno de los sectores que más perfiles de\nUX contrata o de un sector innovador donde el rol de UX se está volviendo cada\nvez más importante.</p>"
       }
     },
     "cover": null,
-    "thumb": 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   },
   {
     "slug": "social-network",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/03-social-network",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:00.503Z",
+    "createdAt": "2023-08-10T20:09:27.090Z",
     "prefix": 3,
     "track": "web-dev",
     "learningObjectives": [
@@ -722,71 +684,35 @@
     "thumb": 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6y3eXLhy5ReYQURS8niKl43AHIb00uDfrlYJF1cuMZDjuyo7yfNxE9DVTAuEq2WR0OKh3ATXVILyxgNEnYknrntSrVNlzr2wi5tGS9FQS8lhXEh5sDbHcio7cD1xOyeOYUyfAssQ2tpuxPv3Zkh19aV8Rc9MDb9qdTKc1ld3Uu3N62mGCY6VY8hHMEnkK9t32U3f37lbb07GbbBQlpxOcnGSmm2XLxLsk+fFhQXGJhKlu44Vp9h0G1Ke9rvuf0kGmik2wuxtOPKvAiTEuOrR4fFkuEnCXMdvemLvCYtiLVb3ID9sZW5xrlJPEFD82OVRb5b7fbYVpkmNKYuSnEOOEElBRtzGcYq9fccueoraw5Kj3aIE+IhgqwEL/Ko9a6xvl8bfRdfS64Kdcv0WFYpy5zKWuJlb5zwHPm3A/rUOMV/a12m3uIEtMeXEE7cXof8083qCMLrdkXK0txWkn5dKY5AShXT33qlky122xyVLkmM/khUY5Up5GefpTc2l+tUttVZSJ0B6yKZt5djXBw5UhI8ziD3PWq643STOetltEtl15scaS0CV5A2T2FV7EWeqbbXluJYjhBUySoBwgjfIz69aim7W61T5E2JBfbeSCjiK+NwL6q9KXY97qyXfZWlls6/m7rcbo+u3sIHAtABW6lQ5EdvemSjisTqEXgsreUTlY+tJ5ZPX2FVDd0uM21LeDpQ44spcS+rd4HsO/rUErkXBxqy2iAqfNaPEFtHiKU/qP0pSO5OKTfSy4DxUq5TZUCPb25iIzvgkKQtJzsO4pMVidqWSXbHGwyyrLk6Svw47HfKuRP6Rk+lNT2tP6cSXtVTkXm4pGU22K4fl0HstY3X7JwPU0Eas+IV2vyUxm1JiW9scLUWOAhtsdgkbCkLh59c/wBfVKGk7I+uOpNN6MfU/GUNQ6jH/wDckIHgsq/8ps7D+JWT6Cst1Tq27ammuSLlKccKjnBUcU1pnTN41ROEe0Q3ZK8+ZeMIR6qVyFfQ2gPgfbLT4cvUaxcZowoNYwyg+34v3/lThE5/eft1sFxc1mg1KxPRHw7v2sFtmFFEeED5pbw4U49Oqv2r6N0H8KbFpRKH1NidcQN5DwBwf0jkK0BlluO0lthCUNpGAlIwAKXiphZvyphu75k0oAJwBgVGcGTUtQ2qOsb1kPiA3Fldpl6y0DSJqgyjI51PhR3HR5UkJ/MasGoLTauJQ4l9z0p2D08TI872qSRzs2iFodsnTnON0mOx6/Uf26URxILMVADacn8x3JqdivMURkN9k8yOdoU3w0lSARuBU1qG84MgcI9aRIiusjK0+XuKrvhfbNbRKx4va6GrvYI0xKltAMv9FJHP3FBMz5m2yCzISUrHLsR3FakRVZe7SxdIxbdGFj6Vjmk0ErKISd6PR3uitLU5TlfqFn4vLiU4zUWTcnHc5NM3SA/bpamJCcEcldFDuKipSSRQF8kwOR5KOshitnaF6oqcPU5qSxDUr6hUqFHTgEinpUluM2eWaM4bg5qO8/ZDK7EhD3Wpv5ZttPmxUZ4NHYEUOXu/qSSEKoeavzvi7qOK0rsHhDMtkBbikhfe61G23yfA4WmXylokDfpRZf7lPYSwu3RfHilsKW+E8eT1B7VldqniUgZO9EtqujsF5PjcT0YfU0VEA0Gf2tDeNziGm2oO3vpzsijezqrPAFxw5pzVWnG7uGLjbmkttqb4pS0p4UJOeYHfHas7uVvTAuDjbDyXkIV5XEjAUPat1kqZmRYDj7qw299DSG+JlJ/KoChjWumGhFjvsxEMTnHPDMdk5Dg6KA6VpaLFpaMGRpuLAnx0+1/v56IJVYZFV2Y8WOtlnLUtwt8KjkU34QUrOMn1q6u2nJVoUyJqUIW6niCQoEj3HSoaWgmm4l8XvAMbW5Sm0fwpESJHnMEwhrFJcbyOVTAnJxUuPAU70rEy1E1ZJc6rR9vTYaywQxIZO+1VshogEYrQV2XKfpNUVztCmwSAatCmljFyFFS/EtPO/s72QPJb57VTXCKh9tSHEgg0UTI5SSCKp5DfOrUMhBR/uyt5grOrpb1w3CRktE7HtUHNHs5hLqFJWnINDTtlV4iuBWE52o/T1Yc3v7rM1mFvY68IuD9l9BWtNntC7rchdnG3uJQgtvJ41p988ulVqdXu2a2NszBElsyl8T6sZ4FE8z607qpEybY4EOOiG+1Jw6CCA4FYyQexoWYs7r99471EeYQhP3jad8nof5USIdfKNBt9N1nAG/MfNXFxbk3uVDEi3yHGwMtpjJwOHoQParOxFb17kx7XdlIchN/cF9HAAnq2rOOvWrXRLnFMmPQ7oXktJSYbj5KUEAboOdyBVfdUy37TMlzrKmT47h4n46vD3B57bkD02pT4ef62SJ/RqnBBvE6Xbkz0qUUucOAhtWeYP+qduzkOLaoUa3ImxH3nQZDSCQyQeX7CoUmPb2bbEjCdNauSlJLscIIbSjqT+Y96uV3iZIuTdshLt8pmJhQBIQFJ5+dXp2rjvbyH03XePmf0k3hEtrUduQ/cotzaQgLRGQoBIAHJR5VU35+a4/OusKzJ+VeaxmGSfAV+Y49qhy3LfZU3B3VdudcE1RcimKrDaMjY5G/7cqes92ZasiLdEuT9uYeylxlQGV53B74pu4t1c+aUaapw6d8XTbM9dyRAuLje7eeJb4PXH4dv3rriVcMW3Q40SdJZQHQ+VlSl479h6VWahukqPd4MOcuLJbjAONFsf8gxyI5/tQrM1JHVeJU22eLbVKGM9Qrt/wClcTrp1ZKBfdSZt2Uq4v8AzjKoRKsZOSpBHYdyaas18lQXlsRWnJEqUvhUjw+Nx4dAkcyfan2dLSJCBdtTyzZLe4kLK5I4pMj9TbJwRn8ysD3qFcNfwrGy7C0PCMILHA5PdV4kp4eq+g/SnA96bfLvvy4/11opLX2RXe47TLLUjXUxNvbbH3dqhKSZJHZaxkN+26vQUE6j+I77sFVq03FZtFpzuzHBBc9VqPmWfVRP7UDyZUq4yeN9xx51ZwBzJPYCtT0B8E7xffDl3wqtVvO4SoffOD0T+H3P8qVrHSeXW/PqwSHKzdZfChz7zPSxEZfmS3TshsFSjW46A+A7jnhTNYOltHMQmVb+y1D+w/nW06S0hZNJw/As0Jtkked0+ZxfqpR3NX5qdrWs21UbnOd4KDZ7VAs0JuJa4jMWOgYCG0gCpw3rw96YelIa5kUpJO6boFLSmlhsVXMz0uuBDeVKPIDc1exIa1JCn/L+kc6jcco1XMdmNgofy6nDhCcmpUa2IQQp7zq7dBVklCUJwkACuNCqiJkrszheyuxghN4AGAMD0rwilGvCDw8WDjvUZKmASmWFvHCBt1J5VVam1NatKpAkkvzFDKWk8/c9qKYvD4CODlisPslrud+16u5TLa/MholKKyocKNiQBk7EDbalnzRhojF3O472RLCaSGpdJJUmzGC9r2ueAufJFMfWWq7ggP23TS1RjulShjI9M4p+F8R0tSxC1NbH7a6rbK0nH/pV7cG3ELdkXy9fZ7H/AEWI7gQEp9SRlR/pQvZJ0bW67rp+4n51pgFcWaU4WBnAPv8A3qNxexwaJDmPOx+o4Aq+xlLPG57oAGN3LS64v4nR1uI+iNHW21tIkRVpdjODKVJORUcpoM+DVxkNzbpp+WvxERyVIz0wrBHtWgTY3gr8v0K5elRBgmj7VotzHIofWU5oag07je2oPMHUIfvVoYukUtPJwoboWOaTWbzra9bZZYkJwR9Kuih3Fa+U1XXi1s3KMWnhhQ3Ssc0mhlZh4nGZujgrFLWGLun5Vmra+FOKpr4VqQcGr24Qn7dKUxITg/hUOSh3FQn2A8gg1JheIGE9k/QhMr6PtRnasvuaFlZG9RYsB11wcKTWhu6fS65nFWUCxMsYJSM1oe3DhmvogXYuBtZUmnLW42ElYNEchkIbxUpSm2E4TgVWypPHkCs/i+IRFuQalGsNo5GuzFTLHf5doew0592dsK3A9auLjq1pnItKFuyljC5T26s9h2oNUCTUy0TV2yYmS2024tI2DicgetZ+nr5Ym9mH2b9beSOS0cbjnLbn380QWjSc+9SEybw8thtzfK91r9h0FCeoGI0S6SmILinY7a+FK1czWjwXnJFhdlP3SOifLykrcV/xI7Ad6r4uirY7HMiXcnfl07lwICEn2J50WfRNmiY2nbqe8SSL2+vqfTVCpat7M5edtAADZZzFWC8AaPbBBQ6hJIFBV4jw492dTbHXHYqVeRa+Zov0vdGwhKFK3q7hccTHZSQSPovOKqomNYW1G3BFX2Y2UfSKo7zZUFCiE0Ux5KFoBBFMT1ILZ5VpnxMe2xVqSFmXOzdYlqK0eGVFKaCJzBSojFbDqNKCVYxWaXltPiK4ay1VEIn91aj4bxSSb+J/BCMhHOoCkHJq4lI3NQVI3NPjfotqRdaKtq1KDTqWZi/CKfGeQMeEvP1JSNsdN6VYl3a7C7XBicHJEdPAlUgBI4B36cqXZL+5arpNbUI88BRZ4MhDak/hOO1R5Kpkiaw7cIba4qnOJbEbYKa/ENuZHOtSDfUcfS115oRbq6Zh3C3s6cctU1tT0iUtamXWscCHSe/TpU/F3dZS1cZCmXGgkuw2sgJxgBaz61Hft1kkXqBE0tcXYjazxqMoZSlXfhHXtVrZ7zPi3W8zJTTNwnwUiOpLQyl9kjn77Uuh1PVkh00HV01MYur1zMxiZAnCG0QppK0oHDjJyf396HYItsi1uvPw3WH5LpDTjRPC2c44Tj+W9WShp6XZXZVxcMRieVrbTHUeNtYP0kD/ADQ7Kmv2nTIhMSG1255wpIcGXh+rh6U241v1dOsVOnlEeE3DXKLKscKmpKQpeQdgBuQKq9ST7h9rQ278w2yGGgStpacrb7bbA0qH87qdxJs9rS9JjgiTNdUEsoSduJxxWydvXPamZc3TGlsKkrRqa8o+kKSRCZPog+Z3HdWB6GuLrb9en/AnBl1JRY136QbraWvsqzoJH2ncHSGgOoR1cV6JB/aokrVen9JrV/4ajm6Xgc7rOQCUHu03ulHucq9RQZqnWF41NJ8S4ylqSBwobBwlCeiUpGwHoNq90foy+aul+DZIS3kg4W+rytN/xK5ftzpG53aN09/rw9PW6cQGjVV97vlxvctyTcpTr7izlSlqJzRXoH4W6g1epDzLBh20neXISQkj9I5q/t61uXw/+CNlsHhS74U3a4pwQFJ+5bPonr7n+Va0lIQkJQAlIGAAMACpmxsZ4+yYXk7aIG0H8MNP6PQh2OwJlxA80uQAVZ/SOSf2/nRwaVikKUBzNOLiU21l2K8xXoUDyp9iM4+fInb8x5Ui5RljKTURVgk3BwFThYZ6qI3PsKKI8JtnBV519zUk00vtsniK+6gWu1Rba1wRm/N1cVupX71NzXE1S6h1FBscda5KlOOgZDLe6j/qoHG51O6t09M+Vwjibc8grrNMpfacUUtutrUOYSoEisjlnWfxAQtUfhslhG6nnVltKh6q5q/baqOL8OJ7Lq39I6rgXO4MDjVGZdLazj8pzgn3otDg0Mjf5pw13K1wPM7BEZcPMAIe4ZhuBrbzI0C3kmnmnA4kocOSeVZ38PtbG6qVab0DHvLBKFJWOEuEcwR0UO3WjrO+RWfraabD5jFKNfsRzHgq4jzBSmXVxXOFW6TzFBvxKb1Mw183YZbq7aRlbLCRxtnvtuR/ajFDgkJDa8AjkeVex31xXOFW6D/X1FVCWubkJOU/ZTUs5pZhLlDiOBFwf78VlTmoNL6qjxjqpEqLcGEBtTjKjwrAqUdZac01b3IejoTjst4cPiqSck9CSdz7Vo86xWG6KLsy3wnlnmpSAFfuRSIdqstpXxW23RWnR+NDYyP350vYPbrnHnbVEzilG5uUxvIGuTN3P3ZC3wm0zKtLMu73hJbmTOSF7KSnOST6k9KM5jwdUAn6R170266t05Wc0ipGAMjEbNkJq6mSsnNRLueWw5BIIpChTuMnA3NeLSpPNJHuKYWqNrlVXi2sXKKWnhg80rHNJrN7nEetkksyE4PNKhyUO4rWFCqy82xi5xSy+N+aVjmk9xQmuou2GZmjh1qidJU9mcrtWrMUywmvHJ5xgU3eLfItkssSU+qVDkodxUEDNZx9VUMvG42RxtJC6zwE646pwnJNetMLcVsKlQYheUNqIotuShIJFTUGHS1ztNlWrK2OkaqiJaisDIqY5Zhw5A3q2GGxtSFSgNjW0g+GYQyzt1lpMekL9NkPNNG3TW31MoeSg58Ne6TRnFuLTtrYn3Jr5guuFshKcojDp5eVUzyUSEnbeoCJM61LUqE6psHmOh/ahM1HJhTyRqw+/O3G3L8onFUMxBg/2UzWNmacswmllhuUHQltUYYS+g9eEdRWe+I7EcJRkKB9q1YzZ6bHEdsrXzEh0qMlxICloV2x0BpFztEWbFhv6iQU3HJ+4jp+9eHQED+9I9vbOEkVwbA3I0Pm7nrbjta5KDYjhbKlha7e5tbf6IFtuqXWwELPKrB/UpW3uqqXUVqTDkl1lKGUOrViNxEuM46KqidCgDk7VHJicsRMZQzD/hmrzWe67VNu91LuQk0KTVlZJNTpCsZqqk5VnG9VWyPmdcre0OGQ0DL8VVycZNQTjJqZKZdOcJNV5adBPlNFY6aS2yndiMQNro+1W3a2o0KAba63dYKEl+SCT4iRzIxtw9adgR27neYLGmLr4zjKfECCngSgnopX9KjWRyQzfY6Jki3S0NtlQKnd1A7hKlenLFMT9RNqlSZ8azsxmHQWz8of+NXLJx0zWnvY3PiVgdSLBWdwflR71KZ1PDjOhZyEwz95xDY7pP8AWg6S0qE5cnmpUi0uI3RGKSpTp7KPQVLkTYseNmG/NYu8g+EqM2nxFug9B1/YU9cbeqE0Htf3JdvTw8QtsbhXOdHQOK+lofxZV+mm8Ln69an7+SeAVGMl+S63ZtNQzNMnDxjsJK3kLA3yrGAnPXl617c41ksR+Y1fNbuVwTytNudwyg9nnh9XqlH/AOVDt9+ITxguWrTERmy2hWymoxJW96uuHzOH3OOwFBCEvzZCUIS48+4cJSkFSlHsBSXLj3evIf8AfRPDQ0aop1Rr253phEJgNQLW1/wwoiA2037JHX1OT61QWa0XG+3BEO1xH5ktw7IaTk+57D1Na38PvgRc7r4UzVK122EcKEdGC+sevRH96+idMaZs+mIAiWOC1Fa/EUjK1nupR3JqRsIbq/f7+qYZL/KsZ+H/AMA2mfDmayeDq/qEFhXlHotfX2H863W3wYlthtxbfGajRmxhLbSQlI/YVJrsVIXaWGgTbcSuG9KCa9QKfSnOwGTTUoChPrDaSTVUXJEp/wAKI2pxfYdPeiZNp8YgyCUo/KOZqzjxmozfAw2lCfQc67MAp7Nt4qotlnUykLmrC1/kTyH+6twAkAAAAdqWaQajLiVzWgbLw0kmvVUpGHElvGDTSpAFWXdUgx+GKSknmocx7VRItkG1wE3O5sGZIdUfBZUfLt1V3oqzwHCxlJ/r7U3LjsS4hhyCEtqOWnPyKrKYjTzsq3VAde4sy+wdp6a678SEVpansmCPYX1tuR19kA3eDJ1XAdn6huy7bY46uEMsJ+s9gPT96GbdpW0XBxcrQN/km7wx4qY8lHAtePynA/z60aSVxYsKVp7UPix2S54zUhscXAe+Oooasp0poa4v3hF8N1npQtMeKy2UgFQ/Ef8Av960GAYnM6EMzHMBqDvm4ghainfJ2L2RZr/+GtaCxw8dOPEkiyYlsNfEeCZ9vCYOtrenLjafKJaU9R+of05csVdfDnXH22n7Muw8G8sgghQx42OZHZQ6ivNGNyhAg3e+QINmgwpK5ZnqHA/I4uI8AHMg8WN+YAwKz9hD+oviWZ1maW0lc75kEDHho4skntt/eta6CKvp5IZtGsF2u/1PK/EHlw+iqPoGPfK1gs1nG9wDf5b8RxtuNit9B3yKfW+VowpIKu56e1Rc5PpXoNebiQtuAgTowd08DSwaZBpYNSMeoXsTmaksRlu7nyp7ml25lKwXFgHBwBQp8WL9dLJbI6bYktokEockgZKD0SOxO+/pV4ubDCZ36gckymp31dQ2misCeavrrqCyWBQbnzWm3j+AeZf7gcqtIMyJdIaJEN1uRHcGyknIr5gjsS7nNDbCHpUp1XJIKlKNFtruF5+HV6aYnJBZebS67HC8gpOeR6KGDQyDGpC4uey0fhw/a0tV8KxsjDIpbzb2NhfyG4WyzYpZPEnds/0qCoVb2i5RL1bW5kJwOsOj9weoPrUSdELCuJG7Z/pRd8TXt7SPUFZZr3McY5BYhUN5tbF0iKZkJ35pWOaT3FZrcLW/bZZYkJ9UqHJQ7itbIqDdLcxcYxafT6pUOaT3FBcQwwVLbt0cOtUUo68wnKflQHaglChmiIKBb2oclxH7XKLL4/hWOShU6HLyACabglYKV/ZSCxTMVpTUM7RhunpBIzioCkKUauPDDgyKSY+Olb5krXjMCsW6NzTYhQorZBGafmRkraO29O4De5qFPnJSggGhOL1MIiIeUXwuGUvBaqZufJtEwuw3S2vcd6KLbPbk22XJhvmF4aU/MTXh4rqlHbbsM0DTXvEWTSrXc5NsfK468JVstBGQodiK88p67sJdPk61HL0IJ2utrLR9tHf/ANdda3RRL05GuEZ3wWlh9LKnkTkOFbTxAyeLP0msxmHhSTRrf9VSp0YxIjTcGCRuyyMcXuaCpqSpJxU1XNBI5ohG25ta/wDzXU6667KWiilY0mX0G9uuQ0Q7LkZc4at7FazNWNs5qjlMKD+emaP9C8ACQrnWhwqCNwBKCYrUyNuApzOj2VNjiTk0wvRTHEfIK0JtSA0MYplS05PKtU1jQLWWWdI4m918suNQmw6ZyFwEqKlo4RlSVflNX9tskuJb1TZ8saYsEhOy5aeOTJHdln6jn8x4U+tV87V9g0u7nTcf7WvCRg3e4Ng8B7ssHKUfxKyr2rO75e7jfZ7sy6S3pMhw5UtxZUT+5qpmA0b/AF+z62HgVYyc0dT9fw7G25F0JCXBWsFDtzfUHJrw6/ecmwfyox7ms7ly35jqnJLq3FqOSVHOTRLofQF/1jIAtMNQjA4XLe8rSP36n0Ga+kvh/wDBywaWLcqakXW6J38V9H3bZ/Qjl+5yakbCT3nnrwHL6BNdIBo1YX8P/hBqDVfhyXm/sy1q3+YkJIUsfoRzPucCvpPQvw80/o1lJtkQOTcYXMfwp1Xsfwj0FF/tSkpJqW4bo3RRG53Xg3pQQTTzbeedSW2himlKFC4DXmMVYqZGOVSosFKMLdGVdAeQpLp1lAiwnHsKI4Edz1q1YjtsjyDfuedP11NJungWSSKSaXSTTU4JsikGnDSDSKRqaVSFU4oU2RTSrDAngPmGuWFA8+3/AOqgSm1ltbR2PY08cg5BIPpTuEPpCQAhY/eq1RCyoYY3i4KmZeM34LPr5qO2eGu36pYfUhg4bkM48Vv0OeYoXYvuj7E8ZFgtsu73ZZy27PSOBs9MJHM/tn1rSL7p22XrhFziIdWjYLBKVD9xTFm0vZ7M54lvhIQ9/wDMUStQ9ieX7U2hENHHZ93O9BccLndamnraNkNiH3O7QbNP5seICDmdOX/V8pE/V0t1ljmiMNlAdgnkn996PLVa4dpiiPb46GGuvCN1HuTzJqbXYqCtr5qgZHGzRsBt15qjU10lQAzRrBs0aAei6vQaeYjLd3+lPc1LEJvH4ie+apR0UsouBYeKFSVMcZsSoANPxkpWpQUTnBwO3rXSIymdxug9e1MgkHIJB7ioS10D7PCW4kbdpU2K+YrykryUHmP81PuEKLdre7FltpejPJwpJ6+o7Gq1C0vq86cqA7/1z0FOQ5KoyylYV4ZPXpRKCYNGU6tKqPY6+dujgscvluvXw8vKn7c+sRXvK0+EghY58Kh3/vzqm1ZqaRqZcR2awyh9hBbLjeRxgnO4r6KuMGJdre5FmtIfjOjBSf7jsfWgCN8Jba3PLj8+Q9EBylnhCTjsVf6AodV4VODlpj3HcL6Dr6rWYd8Q0bgJq1tpW/8AoDU8OHHz0Qv8G5F0RfyzDQtduWD8zn6EbbHPetqmqSmMvj6jAHc1BjCFaYiYlsjttNI5JQMAep7mo7ri3VcThyaJ0FMaOLsy65+w8lm8Xr24hUmdrMo+58T4pkikkU4aSRU7mhUmuUC529m4Riy+n1Soc0nuKAZsV+1yvBf90rHJQrSyKg3OAzcIxZfTtzSoc0nuKDYjRCcZ26OGx/BROjqTH3XatKDIlwCAOI1LcubfDzFD94hSLXKLL42O6Fjkod6rVOq70CbjNXTXiOhCKHC4J++OKup1y4shJqmeeW6dzSE5WasoVvU5gkVSfPUVz8pNyrTYoaRqr24y3DsKlJtiiM4q9aioZTuBXi5CEbDFafD/AIVfM3NIgtVjrYzZiF5kBaAdqpJCCFEEVoJQmSkjFDt5takZUE1XxHAJKPvN1CIYdirKnR26EH4yVgnFLt85UBwEEgCnXwW1EEVWTiFJOOdV6KqdCQCrlXRCdqOomq2igBa8HFPHUkc/jH86xyY662o8JNRPnpH5j/OtdDiTS3VZKbB3h2iA9OaduupJ6YdlhPS3zz4B5Ujuo8gPevof4ffAi3W7w5mrHE3CUMKERs4ZQf1Hmr+gou0wbdZIKIdqjMxWE/hbGM+pPMn3omj3JCx9Qog1zG/Kq89DOz5greO0zFjoYjNNssNjhQ22kJSkdgBSwc1DakpV1qS2sHrS3uqRYW6WT7YyamNN1FaIzU1lW1IUiWEYp1Brwbivcb0i6ykxwFOD03qZUCOvhcSTy5VPppUjV1dXV1InLykmlV4aRKmyKQRThpJpCpGpoikKFOkUhQphVhiZIpBGOWadIpBFROVlpTRFIIp0ilIaSpHEonGeHYZx6mq7mk7KbMBqVDecbZbU4+4hptPNa1BIHuasIDcd5AdbdbfyAcpOQKG9cQJc3TFxiwmGHpSm/I0+3xpXg5xjvttnrisyt+qRaINpMOaG5rkxz5poulbnGNizlQx3IGwzy57S0sDHXcdwqdZM9pDW7Fan8SdbwNB2H7RuDTj6lq8NplsgFavc9K+VL18adW3K9tzmbkqIloqDcdocKeAn8WOf70T/ABt+JX21a3bJdLLGcfbdyw6viS4ycDKgAcZ3xv60D6d+HqZU+0tXaaiMxcUeIypKh9904Uq5cWehq6RrZDb8VrGhPj3JddZi3+MzIQ4AFPJUEEbYzjPtnlW/LbSplt9hQXHdSFIUOx5V8CzrTMsl9ejyozrZaWeAPJ4eIDln9sV91fCyc/dPh/aHJ7C2ZCGQy4hxBScp2BwehGDmq1TTNmbZ26nglMZuNlNGUkFJII6ipCloeZ854FJOwHtXkhrwnlIG4HKmsUGaHREtKIkB4BCWxIdZ2bVgduYpTsp50YWrbsBima6p45CBa6idGDrZe11IcWltClrISlIySelDlxvjjoKImW0fnP1H/VE6OnkqTZg05qlUTMgF3K3uN0jwgQpXG70Qnn+/aqNWoZRXlLbQT+XB/vUe0W1y6zfAbWEEgqUtW+Kt9VWZi22+GqO35uIpccJyScf+tHo6SmhcInjM4oU+onkaZG6AKTbLm3PQRjgeHNH+qmKoFbWtpxK2yUrTuCKK7VcUTW+FWEvp+pPf1FCcXwwwgzQ/LxHL+kTw6uEv8cnze66629i5RVMSU5Sd0qHNJ7iszu9rftkssvjKTuhY5KFayRUK6QGbjFUxITkHdKhzSe4rE11IKgXHzLUUdUYDY7LMoDYLgzRnb4yfBGAKGJEN22zlMPDdO4UOSh0Iq+tUwABJNU8EkbTzkSjVSYo10sd2Ju7IU2kkUOLeyvBo0nIS+0cb0KyLa54+UjbNev0NRG6NYKeNzXWKsrOjjxVxLt6HmCCOlQbSwpoDiFXS30oa3IodXObJcHZW6QvYQWrLdTWvwVKKRQTLykkGtO1ZJbXxYxWZ3AguKxXnlbGxk3cXpGGyPfEM6p5KAonNQVMDJ2qxe61GI3rmOICvujadwj9qWpPWp8e5rSRvQ8l5J606l0Z51qgXBc+nY/cIziXojHEqr2FeEqxk1mrbxHWpkeYpJ51K2YjdC6nBopNgtZizkOYwatY7wOKyy33ZSSMqostl1CgMqqwyQOWXrcHfDqEatLBFPDeqaLLSoDerBD4I509BnMLTYqSTipcSQF/dqPm6etVanc03xnOQcEV1k29kQ11RYMrxk8K/+Qf1qVmmWsng3Xhrw17XhpE4JJpJpRpBpCpGhJNINKNINNKsNCSaQaWaSaiKsNSCK8QShYUnmKWRScVE4KQHgnlNofQVIzxkcs+vWgHW+kFSm5E6ypbbugcD3CUghawOEqGeSuH+w5c6OUkpVkU+42HUhxsbknP/AH/3mka4g527+6ie0EZHbH7L4O1XZLhKu0mVb2Zc+KwEhx5KS4GjxEcKiB3yBnetu+H70NdhnDUenHGpS1oP2fDaSnxgUAZAV5kFRBJCcA42xvW3SLLbJUB+E/DSmO84XloZ+7KnDzUSnqe9UOjrI/b7o/KltuOOqSofMSAQ4nzfSPMQUnn0xjlvV6OaMjNeyHPge05bXU6wWmPe7aHbzpePA8FweAw7hxRSn6F55g7nY0Wtu/KoUgqSvkEJSMBIAphTqiMA4FN4qnNV30YrEdNxekuErWVK+o86QRThph99pn/mcQjP5jih2VzzYC5Vu4aNdAva8NeNuIdTlpaVjuk5rjTXBzDYiycLOFwo9yYVJgvNI2UsbepFCDKjHkoUtsKLavMhQ59waPk4dYUkKSkg7Jx/3uapbzbPmBxoATIA/wDy9D60cwqvbTfxyfI7jyO30QmvozN/Iz5hw8Fe6ciQ2mnJFuWSw/g8Cty2R0zVlOiMzoymJKeJtWMjkf2rM4M6VbXiqM4ppWcKSeR9xV63rGUlOHIrK1dwSKKzUUxfnYb+6oR1MeXK4WV5L0zbX46m244ZXjyrQTkH/NZ442/BlFKgtp5s9Rirmfqe4yhwtrTHRz+6G/8AM1EjwZd0eLzy1cKubi+Z9qsw5qVhdUuGXxULwJ3hsDdfBX1ukGXDbeIwo7Eeop8iujR0RmENNjCUilkVg6rs3yudELNvotdDmaxofvbVDes4aXbZ8yB94wQc90k4IoPiyCkjejvVrgbschJ+pzCB/Os2Kig1lsUIjnDm72RyiaZIiDzRXDnAgBZqwSplYztQIZhQNjTar0tHJRoth+OuhblcqlRgomNwjuRKaYSSCNqGbxfuEEJVQ7LvTjgI4jVFKlKcJyTU1VjT5tGKzRYG2I3cpF0uS31HeqF9RUTTzygElSjgDck0IXLUbkuYLdpthU2avbiQnKU+3f35VSghlqX93VF56iChjzSG3uVPvNzi21kuSnME8kD6lewoaTd75KHjQrQ6uMvdCvDUcj3FPNQoVtkKkXNaL5eUnztcf/s0c/rVyVjsNveiNuz60uTaJbKLx4ToCkfLoS03jpwpJGB22rUU2FxRD+Y69cLj9+Cxtb8Q1Ezv/j91vXgf0m2ruRipbV4HU0IJdp5Dx71pXU7DwW0jqgd0bM3VBH1VNZuKFY8woDQ8akNSVDkoioHUbTsrTZWuWhsThkYVV1AunAR5qy9m4uJxvtVjGvCknzHaq5o3N2SvhbKLLZbde+QKqKIFyS6B5qwyDehlPmovsl68yfNSBr26FZ7EMFa4FzQtaac4xsakoSTQ7Zp6Xkp3onYIKaeVip4HROsV4D4RCgcEdasoUxuSCAR4ieaf81RXR7w2yRQku7vRpqXWF8K0nbsfQ03dB6nEG0zhmWp5rwmq2yXZm6ww63hLidnG87pP+qsCaYdEUie2Roew3BXE02TXpNIUaarTGrwmkE1xNJzTSrTWrjXCur0Uwp+y7FdivRSgKaQml1kjFKbJbVlOKViuxUZFtU3NfQrnuBSgUZz1JpGKXivMVDJqbpzTYWXlIedbZaU48tLbaRlSlHAA9TS+oFfO+ttYzbzfJTLjim4LDqm2mAcDynGT3O1EcHweTFZSxps1u5/SrVlWKZtyLkrVbprRhS1M2ohfQvqG3/2jr7mqtuUp5ZccWVrPNROc0A6Y8a6XGPCilvxnlcKeNYSM+5rUn9GXOG7GbjqTKS4MLWnyhtXXOenrWsdRUmGWiaQCee59UCfLNVd46hIhyFtOBbasKH9feiaJJRKa4k7KH1J7U3H0cUsjxJp8XH4UeUf5qqkMybRNCHMBQ3SofSsUEraeDEBaM94bdclZpppKQ3cO6VfglJBBII7VJwJLJ3AWOXf2HpUGJIRKa40cx9Sexp7BHLIrKOY+BxjkHmEfDmytD2FVV2tfzJK0AIkJ2OeSveqT7LmcfD4CvfIx/Oi/FeYq7S4zUUrOzFiOF+Cqz4ZDO7OdDxsqe32ZtrC5OHF9E/hH+6twOle11Uamrmqn55Tf2CtwU8cDcsYsupqQ82w3xuqCR09ahXC6NxwUM4cd/oKGpUtxxwuPLKlf29qrCWLW7tlYyP0sE/fXzNOVbIT9Ke1Bk1PCo4q5mTdiAaopTnFmslXytlmzNWgoo3MbYqskrIJqteUSTvU+SOdVslSW0qW4pKEJGSpRwAPWuiCLMsBdMLJqlv8AfIVmZ45jvnI8rSd1q/b/ADVLc9VyLjMNt0nHVLknPFIx5EDqRnbHqdqqYLFvt1wU9IW3e7uk8Tr7p4okY9M5/wCQ/wBOwNaagwaSXvy6Dlx/r38EAxL4hjgvHT953Ph/fsnnI911LEVcLu8LNp5PmHF9b4HRCeaz/SpFohTrrxWnTkFyBCI4nAlWH3U/mfdOyE+nLsDRto34eX/WVxTLuqnwHMKypIS4UdOBJGGUdlK3PQVu9q09p3QsJDRZZkTG/vBHQfu0K/Osnmf1KyewFaeKNkI7OAddcd/HgsbNLLUvMk5WffDz4NtxIzc66rZYjtefxnkYbR6toVzP/mOfsmjpV50NEUWBaXZ3h+X5lbPiFw9SVK3NBGsNbO6gfcjrncKUrCUoa2bSSe3X3oObvU0JIDYcCSUhYVgKAOAalMbRq/VRdprZqyQGlpWaS42UHekg0dc2y27XkKSldPJXUNKqdSqmEK1HKpqF08hyoKVU8hVNIV+OZWDbpByDV3Z7oplaQpW1DSVVIaXSWB0KuteHixWz6bvQAR5q0e1XVLqAOKvnKx3MsrShRPoa0mwXfZPmpDTgrNYthYfdzQtMuJ8Zo8O9A8+I8JBKQaKrZMS+2Ao86shCac3IFUnxlhXmeKYS6Z1kK2FyXBloeYyCNlA8lDsa0mLJTJYS4jIzzSeYNUrcFpHICprJDP08uoqNwun4bTvpBlcbhWBNIUqkBwLTlJ2rwmoCtHG3ivSa8zSSqvM00qwGpzNKFNg0sGmprgnBSgKQmliuUDkrFeGvc14TTSmLw0nYHzbjsK9JpBNV3p7U+8jLSVoSkDsKw74r6DfRMdvdjZW8h5WZEdsZUlZP1pHUE8x0NbW074asH6SRnHOnHmwB4rRKRscf5q9huJy4fN/kQf8A6HMKGeBszezk9Csl+Hvwpmr8KdqVa4jYwpEVtWHT/Efw+w39q143q1tXVq0mcz8+pPlZK8q26H19DuaAPi5f9S26wocsfA3FwRKkN5LyB0I7DuRv7VgsK4O+MHC6vxeLi4+I8We+e9a+no5cfj/zJZBbUADh59XKDyvFE7smtX0TrK6zrdfUFm5pU2RlDLahlvuFAc/c1DuF+kXZTZf4EoR9KUDr1NZVapq3HEgFS1qPuSf81qWnNOSXG0vXLLKDuGvxn37U2qpoMPjaZiLjjbU+ijYZKgkM4qz07xrkLUkHgCcKPT0q/IrmWW2Gw2ygIQOQFLxWJrphVS9oBYI5Sx9gzJdN4pJFOkUP6gvhhNFENAcd/Or6U/7oVUOZCwvfoAiELXSuDWqwuM+Nb2fFluhA6DmVewoPuOpnZaihnLLHYfUr3NDM6W/KkKdkurccPMqNRvEIrJVuJyVF2Rd1v3K0lNhzIxmfqVfGf5edQpEsq61XeKe9JUsmhYzAWurghaDeyccdKjUdZzSJD7cdlbz7iGmkDKlrOAkeprObzredepi7XomOp5wD7yasYQ2OqhnYD9Rq/RUE1W7LEPXgFDVVkNI3NIfTiiDVuprbp5kmY7xSFDKI6N1q/wBD1NZ1dF3G+son6mfXarIo5aitJ4nnx+lPM/xK27UyyiFa33XWFt3u9/U7cJB4osZX6Qd1qHQn9hR9oz4e3vU1wS/N+ZdlOYWtbmEvrSeRORhhGOROVHoK3eH4NDRDNJq7r6e/Oyx9djE9Z3GaN6+vt4FC1rizbmk2yxQ1W6ABl2OhYBUk/jkun6fY/sK234dfCWPBjM3S8LbjsteZL7rfClH/ANFtXL/6i8qPQDnRzZdN2PRkVCFMsTJzJ4ksNjhYjq/Mc5yr9Ssq7YrydNeuLRuF3lpiwkqwh9aTgn8rLfNR9aLkF2h0HLrr6XQxoDfEqeu6ojtJtumozrSHDnKBxPvHqok7j+JW/tQbqKdbrY26JIZus9JwqLx5iMKPV9f4z6cu9Tn5SjDliQ3IsVgKSFPlXFMmn9twPQbDqelQZ9vYQi1RkWr5S3LPGkqSCXU43K1dVdeEbD1rrgeXX19vEriL7oItumfte5J+ZYeQgAu5ZawHEHnwDt2oLvjFviXeXHiOz/AbcKU5YVWqofS7qdh+y3ea9Eab8FZfHlj55AjbagzUVxWu9yy9dokhwL4S6lnZWBjbHtU8eUk5+vuFAcwsG9fYrOZ0TmRVStBSaMX4/GOVUc+GQcgUdc1bSN19FUilpNeKTwmuFQEWVhpsnkqp5KqjJNPIptlbjcpCFU+2qoqaeQaaQr8T1NaWRiiew3UtrSlR5UJINSmHCkgg4p8btbFXLCRuUraLNeOEJPFRXEv4CRk1itjuSsBClZIorjSlEA5q+KZso1WZxDDG5rlac1e0rPOp7M4ODnWZR5SkkbmrqFcikbmqs9AAO6gcuHW+VGv2h8svi5o/EKtGn0PNJcaUFIUMgis+lXMFo5VUWyan+zZvhyCVQ3D5v0HuKB1EeQ2Kv0uFyPiu0ahaYVVwVUdt5DraXG1BSFDIUORFLCqpkqvkspCTTiTUYKp1KqbdRuanwaWDTCVUripbqu5qezSSqm+KklVNLlEWpwqpsqpClUgqqu8pQnCqnY0gtnhVkoPryqHx13FVfMWG4TjZwsVPlRkrbWcJWyoEKSrBBB6etZpdPhNZJktT8N+VACjktN4UgewPKtAS8vw+DiPDnOK9SauUuJ1FE8upHll9+X02UL4GSi0ouqTS2kLVp1IVEbU7J6vvHiV+3QftRLTINL4gBknAFNlqpal/aTOLiea5rGxjKwWCXTbzyGU5Ud+gHOkLfBGEH96gSHEoyVHJ7mo3yZBdc0FxsEp59bueLyp/KKGL+tHAqpNxuiGwQDQlcrgp5R32rPYricZj7IalHcPon5s5VbIPmOOVMUpasmo8uSzEjrflOoZZQMqWtWAB71l2tJ0C03yjVPZoc1brC2abaIkr8aYRlEZs+Y+/5R70LXPWdz1FKct2imDwJ/5rg55Utjvk7JHqd+woWjOQrS8tdqUm63YK++u0sEssq7NpO6lepyewrUYb8OPmtJU6Dlx9eXlv5LOYjjzIrx0+p58OvHbzUu9SJ178KbrOW5bbYshUe2Rxl54dMJ6fxK/YVJtcG6akUmzWi3ph25BBVCjkgHPJUl3v6bq7AUbfDf4R3jVUxVxuypDLbpCnH3tpDv7/APST/NZ9K3FbmlPhhbG2IjTLs9HlbabHJR/nv3Jyo9TWyghZC0RwCwHXXudlk5ZHzO7SY3PXX4CE9C/BiJZYzNw1BIbaU2MhXBw+H6NIP0H9Rys/po+Vc247aLZp6GphpeSltkffOnqpR/D6qJz6igi267j3+7ykXi4NxRHbLzjqiPDYQOiR1VyGB/Wm5uo3rkluHYOOzWSWFBVxcWPmpZB3HPKRj2wOZHKpQ0X6+w6t4Lr+gV3crjFgTxBQ21d74pWEQWf/AIeOe7qh9RHb+eOdVslyQ9HkXjDOoLtE8rhLqRGh90tp5Kx2G3cmh62vu2q7Xa0WizsTWWWeIttPcRfKsHicXtkc/ICBnvzqdYLPCm6dnvTosi18KSFBokNqWeXEPUjlXaXseuuW3nukLrDup7UzCr3a0xX4D9wui0IeXNaey1j8hwcAfp6dKqSlUi/W6xyrxMksNtZc+ZSUsR3QMgAnBX2OauW0wbdEix41ylRGIxQVwzjw0ucyUj6lj9XKvNR6iU5eobCXYclaEFUYhHiqdUfwKSNh6D96aA4j06628E02v6lLtEB+BqC5Py7lBmFDIUs+IlttSDuEHon/ABQyL9puSVPFEaMVqJLPEDwb8uXKrOHZFzbxM/8AEdjSmMoF1UKMhRcaPPbB68+3OqE2tx9SnI9rt7jKiS2paTxFOds4GM4pH6glvNKzQ2PJMuabdSjJQf5UOXazqbBBSf5V9Du29lbZHCKD9R2JKkqKU0cZUZjYovS14cbFfPFxhFtR2qsUnBrR7/aShSvLyoInxFNLOBUx1R6M5gq9POn2+lNYwaWg1HsVZZopaEE8qVwkc6VGcSBhVLcIJ2pSLq9GV4g4p9s1HFPINRbK9GVZwHeB1JzRtbneJtJoAYOCKMrK5ltNFqR12plazMy6ImlbU94xRvmorR2rn1YQatuCBxszOsmpty4EnKsYqqNxS6rnVZeZBU6UAnAqsSsg7Gs1iTAStjQ0jQwLXNDaoEJSYctZMRRwlR/6Z/1WnpWFAFJBB5EV852l4OJwedaVofUhZKLfPX92dmnFH6f0ms9nscpQPGcK1M0Q14j8rRkmnUqqODSgquJWTLVJCq946jhVK4qaXKMsTxVSSqmyqvCd6aXKFzLJSlUgqpClUgmo3FVn6JfFXcVNE15xVC4KAyWUgKpxKqrpc2PCjLkS3kMsoGVLWcAVnN4+JqJUhUWxpIb5GQsbn+EdPc1XlcIml7tgpoLzPEbdytLuV5i25H3y+J08m08z/qhiRqR6Q7lfkbzshPT/AHQgxKW/944pSlq3Kick04XDWUq8WnldZndb1utXTYVFGLu1KMUagATuagTr4VghJoaLiu9IUsmoX4jUSNylyssw6JpuApMqWp0kk1CUvNMXCbHgRVyJr6GGEDKlrOAKze46tu2qH3YOkGjHiJ2euL54EpHfJ2T/AHp9Fh09a60Y8zw68E6qrYKFl5D6cUTat1pbdPJLSlfMzz9EZo5Vn9R6f3rO725LuTjUzXEl2PHUeKNaI3/KvtkfhHqd/So7L0KyrcNkxMn5Ieu8oZSk9fCTzz67n2oo+Hfwy1DreaX4bbzMRSvvrlLJ4ld8f6G/c1u6DBqegGZ2r+fW3przIWMrsWnrjlb3Wcuvz6BDIVcL8/HtFugrQzxAM2iDnBV3dUNyf6+1b/8ADj4LR7A2zf8AX8ppDjI4mYLRwhn0JHM+g/nRXaoWkPg9bCzD4Jd5cwlSyRxqUen6RnpWd6i1c/qi6f8AvG4pZhJBS5wnHyqumU9RRjKXC7tBy6680Lu1mg1KNtXfE8phqjaZjqYt7SvDckNozwDvgch/3mshvFxfmNSXYjjT9wLRShwnG5/Fudtq8acnyjPFsnoDO3jtj7r5pAHPc7DFELVt+xbHbrkmPAfiTVN4lyFgrhgnyfdc178yenTrSl/ADoe6ba+/V1UWWx260W22PyZLTr7q+F154BLTS+fXdwjuBwjuasYl4RP1BIh3Kzw3IngZb4VGR4qUnIWCMY9h7UUXTTzbzaJVztIuksp4X3o+A3wDcBtPQ9M52NDVumWaTfflmW5NsaeGI8l1QV4JGMoycbJ251Haw+nv11dKTrfz66/SlW1bGmol1YemTWbPc949wSjZpQOVJzuU4VsAelKDN9OjEJh3EPNtcTi2JKh4imif+RBzgnPXmf2q00Vb5ku3XaJEloktpDyZz08cTS0H6XG+hJHpikNSlQdDxYfyLEq3NyPlWb61gpYJPl4mz5sZODjalvY6czfrX8pbX38E+1aLhCTZ5t/8BTEjhZZkeLxq3GfDUkjbPQjkRTj0dqPq1tyJYJNht7cdapSirDqwfxADr2xvvTUy2wk3W1mVKuyLja0qlSeE5S6gb8UdAOOe1eaa13HvuoLmu2iWptlHAyu5IS44hXXiGwA7Z5U0Dn4ct/8Aluf4XHjbxUWx35pNwnzbBcXmLYocKrjcFbpxthQOSVcwOpoVS3x8S4t7d8JSlEeRWM5Ocemc1bXp2fJXd0W5TE9ClF64lUcYaGMcaVDCdu496i2v4e3SXb2JDLzbjbieJKwcZH7bV0psLePXqubr9lszMviArpLaX2zkVFYaORU36Ub1ZMwOrVQpu0Elis91RbE+YgCsyvNu8ytq2XUKkq4s1n11ZSSaYzEDmyr0rDqfNECVl8yMW1nbaouMGi26wwcnFDchgtrO1F2nOLq0WWKaQcU+hVRwKeRSgqWPRPppxNIRTqaa4IhGn2jyonsK8ihdvnRBYV+cpNXqMqWYXjKMGT5aTKP3ZxXkc5SK6T/xmibtkDiH8iDbkcyV5OahA71NuQ/9oXUDrWWxMkPW3pvlCs7W+W3QMbK50TtqyKD4SuF9B9aKoq+NtKuhGazlSOKSqbqCtI0XqPxkogT1/ejZpxX4h2PrRqDWGtkpUCk4IOQR0rSNIahE9oRZagJSRsfzj/dQslvod1jcVw7KTNENOI/KLAaUDTQNKBp5KAEJzNJJrwVxpt1E5q8NNmlmolwmx4EZciY6lppIyVKNcqUrCnjQxqnWECxoUgKEiXjZpB5fxHpWf6z+JUmYpcSyBUePyLx+tft2FA8XxJLmXCpaicnPWkcWtFyUCrP8tzuzp2epU7U99ueo5PHMdV4KTlDSdkJ/b/NNWSC4Xgog4q7t1oLgBUnaiSHbUMpGBWaxPFW27Nq0OA4O+n/klNyUmG2UtpBp9Q2p/wAPhG1QbtcIlriLkz322GUjdSzisyCZHWaLkraB4aLk2CcIoP1dri32EmMzmbclbJjtb4P6j09udDV11Zd9Vqej6aR8ha0bPXB48OB79P71SNFnTjhTZm+OXzduktGSc/8Ay0/551rsL+G3SWkqtBy/f6Gvks9iHxC2O8dNqefXufuuuofnPtzdcy3Mk8Uezxj5yDyyPwj1O9JAumo5Me0wYmWwcM2uCkhtPq4RzP8AX2o6+GfwevesXvn5XjW22OnicmSAS/I/hB5Ct3it6R+FFtMSzR0v3FXlUrIU4T+pXQegrYxMZE3s4BYDrr7krKyOfK7tJjc9dfpBHw9+CEKyx2738QZDOWgFIhggNN+h/wBCrzV/xNbajqtulkNRYyEHhWMI8QD8KMcj/WgPWmrr3ftQmI62ZCmzxCK35kKRjmB6etUdhtUGcbjbpjaxGWr5hpaScxVY3wTjGOpqUBrTzKjc8kaaBP3pMe4oZcuUjw4U1Yej+IoF9p38jw5hPMUqFpSXqZyfc5b8JibESUoiFaUty0gfSCOW3U1L03armuXcFWIxbtKhoA4pJUlE9BG4So/i6Z/2DV3a2bZd9CRo9xt3h/MOPNp8Mls258bHjUDsknG527127gHevumgWFwh0v8ADoBuKm0W3gkK2ccX95HVxHBOfNgDYHlz55py421AgWaaYb6ppIQtpSVeApvqQRttz2Gabu8X5pmJbZ92at+p2koiLhpa4WrgkEYU8rlnh2HfAo+vTS493sMP7QE+ElzDUUAB6Mv6d08yg77nlgVG4abcDfrTrUKQHX1Qwpu1t6rtcODe5l0tq0FKWuAhMFYOQOnEn3oiiMTLlq24oeQxeXUpQ4GIQCWHUgcOHFbgKG3I78jyrrtFvj/xAX9qWqE5DYiHMKK4jMhPJIcWfxHfbA/lVLa58Ky2S+zGdNShEkOlgxY7quCKPU88AjftT+NvIfa/WwPC6bYWv1v1zUpuwzZlqvr98gvuttun5Rq1PeC2zuck7ncHmk5qFe/kXrdbrRITcX7o4Er8JafBjryN1N7HiUPfJqrvBgHSMEy7m5HDrhS3HDyl+KFHZS1bcHCdgpXP1ojk6RvLMbT8hy/MuhDqTHhOYQsA8yOfMDntikcRa43sT1tp9AlbcGx5jrzVL8vdRrK1/KS/txhDZS2VtcPyDgH0KPLAxk5q2tltuU/Ul+mqgWq5XHwUpfbQ5wxZSQnKVJUMgq6EbnNTbheH7jddQW6BbbazOiNcL8VopcRKbzniyMZUOo296ArXPb07YLq2Dc27RMWS09GHCuIvHmCuycnlywOdOy2dY8wPpr0B5phPd05e6mRLkpGlXZUaOXYr61pVGZBAiKBxwr54GTtnnRBYLram7PFTJkXSK7wZUywlxTaMnkk4O1BcmKmzWFpZuLkZl5SHTA48x5yVYBUjG5PXJIxRuq4WxGExNbrisAAJZEcLDe26QeoBzSBnaWGw1PDieuXgucct1oyihsc6rbhckNII4hQvP1MOE8KqGJ96W8ThRq5DRWGqK01AS7MVbXq6BxSsGhiQ8VqNILi3lcyalx4SnN8GnOpYozmK0ba1tMyxKqX2isGqK5QuLcCtA+ylFP01XT7YQk5TVmOZmwSQYnDK6wKzN1ooVgivEir+7W8oJKUmqVSOEkYqVwvqEZYA4XC5s1JSajJFPIqO6uRKQjnV1ZDh7FUjdW1pOJCfWrdIdVacLsKNopykU6+MoNMwz5BUpScpIoudln75ZEGXhspkEnrVWaIb8zvxAcqoFDBrOYrHxWyon5owUpnHGM8s70VwSPBTw5xihRHOiW1KzHQDk1mqhvdVmpF2Aq0SaeZcW04lbailaTkKB5Go6eVOpNC5AhjhdaLpzVDcpKWJ6g2+Ngs8lUVJIUMg5HpWKJq1g3ifDASxJWEj8KtxSNqsuj1n6vCA45oTbwWsA1xIAyTgVnSdVXLGONrPfhqJKu86Zs/IWUn8I2FMfXxtGmqojCJSe8QEbXTUEaLlDJDzw6A7CgS/PPXVWZKyodE9B+1MpUcV6Tmhk1bJJ4BX4MPih2FzzQxIsTalk4qZAtKGVDy1c4GaUgAVUfUyOFrqX/FiBvZSIjSUAACpoAxVJc7xCs8Ncm4SG2Gkjmo7n2rM7zrG86sS8zYz9l2VH/NOdPCSn0PT+9U4MHqK+T+Mac+t0Nr6yGiF3nXki3WvxAgWNwwoCftC6K2Sw1uEn9RH9qzK7+PMmtzdaSHJMlXmYtUc8v4vyj+tJgSrfaJHDZm1PIzh64Ojzuns2Dy9+daL8N/g9d9XyPn5qHbVZ3DxF53d58fpz09a3OHYNT4c2+7ufH+vIepWOq8RnrDbZvXWv0QTa4V61XdI9ttcRTqknDcCMMMNeqz1x619FaI+D9m0swm+64ksz57Y4sOf8DHoE/iNX0u76P8AhPaBbrSwz81jHho3cWe61c/2rMb1fbhrS4uKmXJEeGUcTC+LDbZB5KFGMpI7+g5ddeao3azbdFeufilIkQXEadZfjWpCw07OSn6en/2jpms2u7aLnHZmxZS2riw4CsIPFxsk7rV6+1eWLUD8C0XCBLXFZtrq1IfyAC6VbZTnp/arG1RrxEu1ht8AWqdDCymOpol1QON0r2xjffnyrnE5fDXmmjU/8TNlsqPt+D9lyQs5Upx9RCSCdzxHtRdbLTJGs3/tWDCnS4sMlBgbIeQrZZUFc19MHY0q32FcfXbUqVZUNXAR8TmIRHBI4s4XwjYpGMZ55qvtYgXW63a4Wy8StPpafKHH158RBH0BSFeuRg9KbztzH78063t/Xkqu0fY9gYvzbkW52uzrcK47gSXVwV8junkSc5BwBindPvNWDSaftG7sJDqlNPscAULmwSQkcY5KwTlQ7b1d6ZtM37En3dFzYb+Z8RtSZZBblDJ43EpJ2J9Qcb7UuSgaY+HNujpsMG4Wd19KZS0ry83lWUnHLOfXbtTrk7ePXHrim25+HXBTNSadXMsVutcF+3iJKebWw3JIVLKQeIZWdwkAY26VF1kzEb11C+RsJb1IzFLsSX8wS1cEAbpynqnfAPM+9M60uapWqLLbRptBacQUh5lYIeGNkgjdKgOWeeT0pEay26FqRM95642uDEjAMtEqefbc5bAg4Izy3zSbaHew9+uf1S7jTbVU2mblao1x1VLuTF0tbbjID7KfF8dtzqeE5O+5znGOtSrGV2T4fTprepvkfnCoxg6yVvEZ8yQfw56nGfWvE3+Ra9JXyS9qgNXGUpTcaZIjhb8pobJSvbY4PMcqpZuqLorQtqZbFvFvUfBcK0cLqFAc1pPMH8w5Z5U8XJBvxJ+n164pNG3B8B116K7uk5OlNHWW3QU2G6x5yvCls+HxPKCtwrOcY6UP/EC5XMalsk2bYIamILKmUqguHLiOQCj26YGedVepo0u6rtaoWmm4YQPCDzTRSiQnqQofUR6ftVs9brLYtTw0TblNmW4RitxUlpXhsvDognkAeYP9ajBFsrdTb3Outt/0l1+Y8z7efvzVLalWxy6ynrfHmW5p0fcyVu8LUdf5iNyoA8hv60aWe426ZYJi2btCTeTxtSFKTlE3b6koPJZG3WqyyTJ8q7Xe5WS+RVylgkOSWR4LiAn60nkkgAjcY2FU4cn3jQUiJabPFuyVLVIeunCC4wvn5NhwnvjapB82vP029eOw8zomHb0HXX3Vhqldwg6WtTCGWRpdDrbSg4Al9pSt8lJBIANS/livdOiDck8ky2GGgh4DYKAIzyqjtt0j3UW2Bd2pUmY82EueKFJaeSNsJxtxJxz5561JkwYy31n/AMZ3mHg8PgLkDibxtg4GOlNZrYbWA63CcRvpfU9bFUvzq3PxVIYy4RVREIOKILcgbE0SqKnsxojGI4k2jjLira2w+MjIouttuGBtVRaEjjGeXSjK3BISKBTVLnledT47JXPIBsF4i3Dh5VW3K1ApO1FSFJxTb7aVpNRRylhvdTUlU+B4c0rIrzbCOLy0D3SCW1qUBtW33m3hSTtQBercMqBFH6SpEgsV6rgWLNqGgFZ2UYNKSKnTYpacIxtUThwasvbbVbFreIS26sYCuF5JHeq9FTYhw4n3qalNnq0Bojq3nLYqxxlNVdsVlsHpVsgZFGhss3UDK9U14j+IyqhJ1GFEVoMprjQRjnQjdIRacKkjy1QrYu0YtBhNSCMhVUkb0RWk4aAH71SNtKUsACr2Ajg4QTWPq2ZdCjk5BZZWSTTiabFOJoNIENcnEmnUmmk04mqMjVC5PJpwU0nlTgqi9qhclilCkioF5vEGzRVSJ76GkAcidzUGQvOVouVC9zWDM42CsiQBkkAdTQVqrXsW2umDaUGfc1bBtvcJPqaGLtqK86rQ4LeTbLKn65Lh4VKH+KpIspm2J8KwtBKjsuc6MrWf0ijtDgeb+So+n7/QWSxL4iDSYqXU8/0nLkhbktM3Vzy5s4nLVtZOyf4uwqdZrJfdcXRuDb4ZkcJHDFZHCxHHdZo/+F/wTuupCmfei7brY4eNS3Bl+R7Z5D1rem5On9A28WXTMFp2alOfAaIySOriq0bGhoyRDTrr9rJvLnu7SU3PXX6QloP4P2PRbAvOsJMeZMaGRxjDDPokHmaia8+Lnjx3ommlBppJDZWNnFjl5R0FAOrNdT78/Obv8WStrdADYIRE9SBQm5HakMfL29tT0sAK+abB+8T3qTus21PNMLidtkq6vTI95huzXEvqW54ja0LCyT2PrV1KiTplqmXw2tktlxLS2EvBBa3ADgSD5jmpFo04LfoqbdLhZ0TmXkqQHHJAQtpR240jsD1pN9btMTTduhu2ebEmtqaUzewsqSVbZ4kjy5Pakvm1PVk21kUXewLMmzRr3YoqW0kLbfSoBcpGAVJUDvxf9irCJKs6tT/JybFLsEdLSvFQriCkYwApsDfflkbGmVXy0N3ezuLulzCslTyJTKghCsYC289T7mrCRc3JWoY67Ytd6kLYKYMhWBvndClJwAOuTTMltSOWun4KeH30Hjz/ACmtOuRLbqmWmPdZL1rW0Hmbhc1kKTjPlWo44kpPLlzximHdbqh3a9psSbdcbtIdSHH5CeBDqOHG3IbAe2/em7fp3UNzu11N0bgKjt5EhlSwpvhIz91jbI/7NRHoMJvRcy3JsaLw6OLiu7eB4Z/ASeYIG2PTen3BPrx2+/Xgmm40/SWLC41phEia0+qPNfDjUjxvPCWo/SEJ2KSevXO9EWqIabYuzxYEQokIUlLyV5UiQyR5sJBOSDgnlQiiQ/abXZGpjVx+ffx4KP8ApuDkElZ/FRa1JUzcYTT8lySkZPghrDsBRGAAo809DTRoNTw9+tPsnHXUDiqyXZLcrUMS4RrlcIMCE2RI8ZJK2lZ2ISvkk8s1XWCdeYd41LIRfo7yoykqZkyRs8g8gB0ONtttqsxPmQ9TypVwnQZklyOG2kBwlt/BOEDn1586FHrd9sOSH5rS/sdaluSYltQPGjKHNG3JGd/SpHab8x9h4/lRix25dbJq4Wu5XGx3GRbrfHv0GUlTroe8rsJY5j+eSCKgrhWGXom2G8i5J1C5wtsyA2pLCcK+hZHlO3XnVqmUzD+H7rE25XO1uPPFEbw21KTITySHFgYGRyOaudSvRLdpjTlnj3wOBbrKVQlNJJB5hSuyc9OuaYBfU8nHrn7J/HTmFO1RKQxfNOQmb66IraUhcQgcMdQTgOAgYPsaoJsy4p1sGY17jXpD52bKMpewCCSSMJUOR9KI75EnyNd2m2akFsdZQ0t6JGtivC8oAyl7i3AOOfvQaxd4cfU18SzpIstK4EPwIbxCEK3HiI2HMc8bU4Du5eAAHV7fj1Kaefn11dRmtM3C3u3964WBVxtKj4zcOzq4Upz1G5O2M4333xVI+uAjRvC7IcYYWpK0RY6VLU+roVkHhRy68yOVFWmoyH9P3C6SrpLsFnbUQgRSpTjylHHAfy45dKj3iJFsGjIse0XOO7bnXx8y26wlDzxUrIKVZyrHXYCuadbjmfbh/QHmlIsNfDo9FV9zgBNhsQeu0dqI7ISpu3suEvIWd+Jahvg9zyzWjTbzqW3yFRYGktMPRWwkNuOysLUkgHJyM53qi1NEelyrEL1bIkK2v5Qm5MBJcfAGeFSRjHLYjNRLoxo3593/APi9+e3H3nj44thvuSadA1riM4vpxtbfhe329TdI8kDum2vj+D7n0WcQHcgUSQHcBJ7GurqWuCT4lja6nddFVvfwARRXa3+JIFdXUFJ3XlFO4tmsFapeOaktu5TvXV1Rg6o3E83UG4EFJzQVeUJKjtXV1FaA95bz4WJ7RB10iJcB23ocea4FEGurq0Q1avYaTVtimwMVIYOFA11dSQaPV1oRrZlZZRV80Ns11dRkbLN1os8pxSARvUKVCS6N8V1dUcvyplLI5rtFAVbggkgAU2WQg711dWNrx3ytPBK5w1UhHIAdqWnaurqCSJ7t04KcTzrq6qUgUJTqaWDgb11dVCRQuQVq/XTdqdEG3Ml+4L2SFbJHuTQNOb4JDc/VTy5stzdqKg+Qf4rq6tRh1LExocBra682xuvnmmMTnd0G1lLs9ru+r7xHtsfhWtxX3UULCGmx3Pevp/4c/Byy6QZTdL6pFxubSePiUnLTP8KevvXV1Xrl7g0+CFNaGi4UTVnxMdurkm36cWqNHYOH3ykhwp68Hb+9ZvZYMi4X24KtN4cZjto4w86kqUruO9dXVYLdco0AKpvkO55J3StrmTjdHS2t2EQv5oNKT4qu/CVkAE96p7Te9IwtEzIkuPc1SnH3ExVEjMXBwlJKSM+vOurqrtfd5aRe3mrIZ3QQbXVhOs8L/wAJrVOlTGJqGk+HGaWS29k5APYb9cVdTX4MDT9qhrkLmRmXQl6MWuFCFnfiB5qwf2rq6pGMDow4/wCvPz/SYXEPsOZ+1v2p07TF5u+qbXEv77JgLw7EeZ2wAQShSPUY3q5tCX2dY3KNbdPQWmYaC0Y6HcJUPz5PUiurqgc4gZjvonN/15KsevlvnWqRDmQTwvqU2HkkgsnoMA8ht3qFFgsGzM226PurnyHA02jJ8Nafzkjkrtt0rq6la8kgeaflBBPXFMalRFavdhgWzUE15LC1L8OUzltooG523V1qKm8XbUesl29Ehn51iOpyHKaR4PjoPNK074O3M8q6uqzOzswbcLBV43XO3Rv+k3o5US4rnxbvD8G2xHFOOjPE8w6DjKFjoSelW9itbNmg3GcxdJMBllSiocPiCUjoFADYkbV1dTIWiSQNP+xHX1TnnKBbkFaaoUHPhcy/aXmGLI8UokMPs8akb/8AT7b/AP6NQdYy50ljTslVrgpgICSHkY8Z9IABB28oPMDeurqa4AMaf/t116JQ45iPEeyo2ojOqdQzZFtZNljNt8csuLLzoR+JSDk89ts0/oUWeI9cPAvE6TLCuG3yXmsOY4d+POQRnlXV1LD/ACjM7n6aDrdLOOzBDeAC56dqhXw2uyGVxXIzalGUmQgFfAT5lgjYqz3yaobndICoFvsqbCzJQ02hwzHV4WW1HBIHqe/LpXV1RPeezzcdR9xr568U5re/l4afn9KTdVWq3azgNIkzpLEhoo4X1FaI60jYoyenbGKFLpqfUKbg+IuqXXGArCFJY4Rj2IyK6uohC0DMeVh9j+vJVyM7g08r/df/2Q=="
   },
   {
-    "slug": "ux-consultancy",
+    "slug": "uxploradoras-ux",
     "repo": "Laboratoria/bootcamp",
-    "path": "projects/03-ux-consultancy",
-    "version": "6.5.1",
+    "path": "projects/03-uxploradoras-ux",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:04.201Z",
+    "createdAt": "2023-08-10T20:09:26.903Z",
     "prefix": 3,
     "track": "ux",
     "learningObjectives": [
-      "user-centricity/user-oriented",
-      "user-centricity/prioritization",
-      "business/model",
-      "business/goals",
-      "business/metrics",
-      "business/benchmark",
-      "research/planning",
-      "research/support",
-      "research/guidelines",
-      "research/interview",
-      "research/documentation",
-      "research/adaptation",
-      "research/sources",
-      "research/test",
-      "research/cuantitative-data",
-      "synthesis/weighing",
-      "synthesis/patterns",
-      "synthesis/insights",
-      "synthesis/mapping",
-      "synthesis/features",
-      "synthesis/ideation",
-      "synthesis/feature-prioritization",
-      "product-design/user-flows",
-      "product-design/content",
-      "product-design/fidelity",
-      "product-design/interactivity",
-      "product-design/usability",
-      "product-design/accessibility",
-      "product-design/visual-design",
-      "product-design/component-organization",
-      "product-design/project-organization",
-      "product-design/documentation",
-      "communication/presentation",
-      "communication/negotiation",
-      "communication/relationship-management",
-      "communication/case-study",
-      "planning/monitor",
-      "planning/prioritization",
-      "planning/tools"
+      "agile-planning/scope",
+      "agile-planning/workplan",
+      "agile-planning/tasks"
     ],
     "intl": {
       "es": {
-        "title": "Consultoria UX",
-        "summary": "<p>Trabajarás con tu squad haciendo consultoría UX a una startup. En este proyecto\nliderarán el 100% de los espacios con clientes (workshops, weeklys,\ncomunicación, entregables, etc). Este proyecto es abierto y podrá incluir\ntrabajo con otros perfiles como desarrolladoras, product managers, etc.\nAnteriores retos han incluido empresas como Kmimos, Guvery, Sinenvolturas,\nMagical Startups, Laboratoria, entre otras.</p>"
+        "title": "UXploradoras en el laberinto UX",
+        "summary": "<p>Este es un proyecto flexible que puedes adecuar según el contexto de aprendizaje\nen el que te encuentres. En conjunto con el equipo de Laboratoria, vas a elegir\nUNA de las 3 opciones disponibles, para poner en práctica técnicas y\nherramientas específicas según una etapa de diseño específica.</p>"
       }
     },
     "cover": null,
-    "thumb": 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   },
   {
     "slug": "burger-queen-api",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/04-burger-queen-api",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:04.574Z",
+    "createdAt": "2023-08-10T20:09:27.080Z",
     "prefix": 4,
     "track": "web-dev",
     "learningObjectives": [
@@ -855,9 +781,9 @@
     "slug": "burger-queen-api-client",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/04-burger-queen-api-client",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:04.744Z",
+    "createdAt": "2023-08-10T20:09:27.035Z",
     "prefix": 4,
     "track": "web-dev",
     "learningObjectives": [
@@ -964,9 +890,9 @@
     "slug": "md-links",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/04-md-links",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:09.823Z",
+    "createdAt": "2023-08-10T20:09:27.065Z",
     "prefix": 4,
     "track": "web-dev",
     "learningObjectives": [
@@ -1017,9 +943,9 @@
     "slug": "notes",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/04-notes",
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+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:09.702Z",
+    "createdAt": "2023-08-10T20:09:27.043Z",
     "prefix": 4,
     "track": "web-dev",
     "learningObjectives": [
@@ -1091,9 +1017,9 @@
     "slug": "chat-app",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/05-chat-app",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:09.644Z",
+    "createdAt": "2023-08-10T20:09:27.012Z",
     "prefix": 5,
     "track": "web-dev",
     "learningObjectives": [
@@ -1164,9 +1090,9 @@
     "slug": "fleet-management",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/05-fleet-management",
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+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:14.341Z",
+    "createdAt": "2023-08-10T20:09:28.013Z",
     "prefix": 5,
     "track": "web-dev",
     "learningObjectives": [
@@ -1226,9 +1152,9 @@
     "slug": "movie-challenge-fw",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/05-movie-challenge-fw",
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+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:14.325Z",
+    "createdAt": "2023-08-10T20:09:27.980Z",
     "prefix": 5,
     "track": "web-dev",
     "learningObjectives": [
@@ -1335,9 +1261,9 @@
     "slug": "open-project",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/05-open-project",
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+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:14.196Z",
+    "createdAt": "2023-08-10T20:09:27.927Z",
     "prefix": 5,
     "track": "web-dev",
     "intl": {
@@ -1353,9 +1279,9 @@
     "slug": "roman-numerals",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/05-roman-numerals",
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+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:18.927Z",
+    "createdAt": "2023-08-10T20:09:27.976Z",
     "prefix": 5,
     "track": "web-dev",
     "learningObjectives": [
@@ -1396,9 +1322,9 @@
     "slug": "roman-numerals-slack",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/05-roman-numerals-slack",
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+    "version": "6.6.0",
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-    "createdAt": "2023-07-31T18:26:18.816Z",
+    "createdAt": "2023-08-10T20:09:27.945Z",
     "prefix": 5,
     "track": "web-dev",
     "learningObjectives": [
@@ -1440,9 +1366,9 @@
     "slug": "social-network-fw",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/05-social-network-fw",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:18.955Z",
+    "createdAt": "2023-08-10T20:09:28.008Z",
     "prefix": 5,
     "track": "web-dev",
     "learningObjectives": [
@@ -1522,9 +1448,9 @@
     "slug": "wordpress-plugin",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/05-wordpress-plugin",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:23.155Z",
+    "createdAt": "2023-08-10T20:09:28.030Z",
     "prefix": 5,
     "track": "web-dev",
     "learningObjectives": [
@@ -1566,9 +1492,9 @@
     "slug": "job-application",
     "repo": "Laboratoria/bootcamp",
     "path": "projects/06-job-application",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:23.373Z",
+    "createdAt": "2023-08-10T20:09:28.995Z",
     "prefix": 6,
     "track": "web-dev",
     "intl": {
diff --git a/dist/projects/burger-queen-api-client.json b/dist/projects/burger-queen-api-client.json
index 2070c144f..e77c12b37 100644
--- a/dist/projects/burger-queen-api-client.json
+++ b/dist/projects/burger-queen-api-client.json
@@ -2,9 +2,9 @@
   "slug": "burger-queen-api-client",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/04-burger-queen-api-client",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:04.744Z",
+  "createdAt": "2023-08-10T20:09:27.035Z",
   "prefix": 4,
   "track": "web-dev",
   "learningObjectives": [
diff --git a/dist/projects/burger-queen-api.json b/dist/projects/burger-queen-api.json
index fc7346fc9..4b2386fb8 100644
--- a/dist/projects/burger-queen-api.json
+++ b/dist/projects/burger-queen-api.json
@@ -2,9 +2,9 @@
   "slug": "burger-queen-api",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/04-burger-queen-api",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:04.574Z",
+  "createdAt": "2023-08-10T20:09:27.080Z",
   "prefix": 4,
   "track": "web-dev",
   "learningObjectives": [
diff --git a/dist/projects/card-validation.json b/dist/projects/card-validation.json
index defe1bf7e..a316f06c3 100644
--- a/dist/projects/card-validation.json
+++ b/dist/projects/card-validation.json
@@ -2,9 +2,9 @@
   "slug": "card-validation",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/01-card-validation",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:25:44.312Z",
+  "createdAt": "2023-08-10T20:09:25.062Z",
   "prefix": 1,
   "track": "web-dev",
   "learningObjectives": [
diff --git a/dist/projects/chat-app.json b/dist/projects/chat-app.json
index ab12b30bc..cca9da89e 100644
--- a/dist/projects/chat-app.json
+++ b/dist/projects/chat-app.json
@@ -2,9 +2,9 @@
   "slug": "chat-app",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/05-chat-app",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:09.644Z",
+  "createdAt": "2023-08-10T20:09:27.012Z",
   "prefix": 5,
   "track": "web-dev",
   "learningObjectives": [
diff --git a/dist/projects/cipher.json b/dist/projects/cipher.json
index 489ebde4f..47ee951c5 100644
--- a/dist/projects/cipher.json
+++ b/dist/projects/cipher.json
@@ -2,9 +2,9 @@
   "slug": "cipher",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/01-cipher",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:25:48.491Z",
+  "createdAt": "2023-08-10T20:09:25.046Z",
   "prefix": 1,
   "track": "web-dev",
   "learningObjectives": [
diff --git a/dist/projects/data-lovers.json b/dist/projects/data-lovers.json
index 7bacf3086..26436dfda 100644
--- a/dist/projects/data-lovers.json
+++ b/dist/projects/data-lovers.json
@@ -2,9 +2,9 @@
   "slug": "data-lovers",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/02-data-lovers",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:25:52.778Z",
+  "createdAt": "2023-08-10T20:09:26.094Z",
   "prefix": 2,
   "track": "web-dev",
   "learningObjectives": [
diff --git a/dist/projects/design-and-usability.json b/dist/projects/design-and-usability.json
index 5fb82dc45..9bea62e8e 100644
--- a/dist/projects/design-and-usability.json
+++ b/dist/projects/design-and-usability.json
@@ -2,9 +2,9 @@
   "slug": "design-and-usability",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/01-design-and-usability",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:25:48.263Z",
+  "createdAt": "2023-08-10T20:09:24.984Z",
   "prefix": 1,
   "track": "ux",
   "learningObjectives": [
diff --git a/dist/projects/design-detectives.json b/dist/projects/design-detectives.json
index 7947c0f4e..d018c5f53 100644
--- a/dist/projects/design-detectives.json
+++ b/dist/projects/design-detectives.json
@@ -2,33 +2,32 @@
   "slug": "design-detectives",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/01-design-detectives",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:25:48.276Z",
+  "createdAt": "2023-08-10T20:09:25.046Z",
   "prefix": 1,
   "track": "ux",
   "learningObjectives": [
-    "user-centricity/user-oriented",
-    "user-centricity/prioritization",
-    "research/planning",
-    "research/support",
-    "research/guidelines",
-    "research/interview",
-    "research/documentation",
-    "research/adaptation",
-    "research/sources",
-    "synthesis/patterns",
-    "synthesis/mapping",
-    "synthesis/ideation",
-    "synthesis/feature-prioritization",
-    "product-design/user-flows",
-    "product-design/usability",
-    "product-design/visual-design",
-    "product-design/project-organization",
-    "communication/case-study",
-    "planning/monitor",
-    "planning/prioritization",
-    "planning/tools"
+    "agile-planning/tasks",
+    "business-understanding/benchmark",
+    "research/analysis/synthesize-results",
+    "design-concept/define-mvp",
+    "design-concept/design-references",
+    "design-concept/ideate",
+    "design-concept/prioritize-ideas",
+    "interaction-design/user-flows",
+    "interaction-design/usability",
+    "interaction-design/information-architecture",
+    "interface-design/visual-design",
+    "interface-design/accesibility",
+    "design-prototype/basic-prototypes",
+    "usability-analysis/moderated-testing",
+    "usability-analysis/heuristic-analysis",
+    "design-pitch/design-feedback",
+    "design-pitch/design-presentation",
+    "design-specs/file-organization",
+    "design-specs/use-cases",
+    "design-specs/project-documentation"
   ],
   "intl": {
     "es": {
diff --git a/dist/projects/design-lab.json b/dist/projects/design-lab.json
new file mode 100644
index 000000000..07cf7e262
--- /dev/null
+++ b/dist/projects/design-lab.json
@@ -0,0 +1,59 @@
+{
+  "slug": "design-lab",
+  "repo": "Laboratoria/bootcamp",
+  "path": "projects/03-design-lab",
+  "version": "6.6.0",
+  "parserVersion": "5.0.0-beta.0",
+  "createdAt": "2023-08-10T20:09:26.088Z",
+  "prefix": 3,
+  "track": "ux",
+  "learningObjectives": [
+    "agile-planning/scope",
+    "agile-planning/workplan",
+    "agile-planning/tasks",
+    "business-understanding/business-model",
+    "business-understanding/goals-and-kpis",
+    "business-understanding/benchmark",
+    "research/planning/research-plan",
+    "research/planning/desk-research",
+    "research/planning/research-sample",
+    "research/planning/participants",
+    "research/qualitative/user-interviews",
+    "research/qualitative/exploratory-techniques",
+    "research/quantitative/user-surveys",
+    "research/quantitative/analytical-techniques",
+    "research/analysis/process-information",
+    "research/analysis/experience-mapping",
+    "research/analysis/identify-patterns",
+    "research/analysis/synthesize-results",
+    "design-concept/define-mvp",
+    "design-concept/design-references",
+    "design-concept/ideate",
+    "design-concept/prioritize-ideas",
+    "interaction-design/user-flows",
+    "interaction-design/usability",
+    "interaction-design/information-architecture",
+    "content-design/create-content",
+    "interface-design/visual-design",
+    "interface-design/accesibility",
+    "design-prototype/basic-prototypes",
+    "design-prototype/high-fidelity",
+    "usability-analysis/moderated-testing",
+    "usability-analysis/heuristic-analysis",
+    "design-pitch/design-feedback",
+    "design-pitch/design-presentation",
+    "design-specs/file-organization",
+    "design-specs/use-cases",
+    "design-specs/project-documentation",
+    "design-systems/atomic-design",
+    "design-systems/design-system"
+  ],
+  "intl": {
+    "es": {
+      "title": "Design Lab",
+      "summary": "<p>Podrás elegir entre resolver un reto de uno de los sectores que más perfiles de\nUX contrata o de un sector innovador donde el rol de UX se está volviendo cada\nvez más importante.</p>"
+    }
+  },
+  "cover": null,
+  "thumb": 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+}
diff --git a/dist/projects/emergency-room.json b/dist/projects/emergency-room.json
index 293180ecd..9b80b255d 100644
--- a/dist/projects/emergency-room.json
+++ b/dist/projects/emergency-room.json
@@ -2,9 +2,9 @@
   "slug": "emergency-room",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/02-emergency-room",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:25:52.515Z",
+  "createdAt": "2023-08-10T20:09:26.032Z",
   "prefix": 2,
   "track": "web-dev",
   "learningObjectives": [
diff --git a/dist/projects/fleet-management.json b/dist/projects/fleet-management.json
index 6997a56b4..3ed228a69 100644
--- a/dist/projects/fleet-management.json
+++ b/dist/projects/fleet-management.json
@@ -2,9 +2,9 @@
   "slug": "fleet-management",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/05-fleet-management",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:14.341Z",
+  "createdAt": "2023-08-10T20:09:28.013Z",
   "prefix": 5,
   "track": "web-dev",
   "learningObjectives": [
diff --git a/dist/projects/how-might-we.json b/dist/projects/how-might-we.json
index ee0ed6117..35aecf861 100644
--- a/dist/projects/how-might-we.json
+++ b/dist/projects/how-might-we.json
@@ -2,18 +2,19 @@
   "slug": "how-might-we",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/00-how-might-we",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:25:44.189Z",
+  "createdAt": "2023-08-10T20:09:24.942Z",
   "prefix": 0,
   "track": "ux",
   "learningObjectives": [
-    "user-centricity/user-oriented",
-    "synthesis/ideation",
-    "product-design/user-flows",
-    "product-design/fidelity",
-    "communication/case-study",
-    "planning/prioritization"
+    "agile-planning/tasks",
+    "design-concept/ideate",
+    "design-concept/prioritize-ideas",
+    "interaction-design/user-flows",
+    "interface-design/visual-design",
+    "design-prototype/basic-prototypes",
+    "design-specs/project-documentation"
   ],
   "intl": {
     "es": {
diff --git a/dist/projects/industry-deep-dive.json b/dist/projects/industry-deep-dive.json
deleted file mode 100644
index c76e51444..000000000
--- a/dist/projects/industry-deep-dive.json
+++ /dev/null
@@ -1,59 +0,0 @@
-{
-  "slug": "industry-deep-dive",
-  "repo": "Laboratoria/bootcamp",
-  "path": "projects/03-industry-deep-dive",
-  "version": "6.5.1",
-  "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:25:59.954Z",
-  "prefix": 3,
-  "track": "ux",
-  "learningObjectives": [
-    "user-centricity/user-oriented",
-    "user-centricity/prioritization",
-    "business/model",
-    "business/goals",
-    "business/metrics",
-    "business/benchmark",
-    "research/planning",
-    "research/support",
-    "research/guidelines",
-    "research/interview",
-    "research/documentation",
-    "research/adaptation",
-    "research/sources",
-    "research/test",
-    "research/cuantitative-data",
-    "synthesis/weighing",
-    "synthesis/patterns",
-    "synthesis/insights",
-    "synthesis/mapping",
-    "synthesis/features",
-    "synthesis/ideation",
-    "synthesis/feature-prioritization",
-    "product-design/user-flows",
-    "product-design/content",
-    "product-design/fidelity",
-    "product-design/interactivity",
-    "product-design/usability",
-    "product-design/accessibility",
-    "product-design/visual-design",
-    "product-design/component-organization",
-    "product-design/project-organization",
-    "product-design/documentation",
-    "communication/presentation",
-    "communication/negotiation",
-    "communication/relationship-management",
-    "communication/case-study",
-    "planning/monitor",
-    "planning/prioritization",
-    "planning/tools"
-  ],
-  "intl": {
-    "es": {
-      "title": "Industry deep dive",
-      "summary": "<p>Podrás elegir entre resolver un reto de uno de los sectores que más perfiles de\nUX contrata o de un sector innovador donde el rol de UX se está volviendo cada\nvez más importante.</p>"
-    }
-  },
-  "cover": null,
-  "thumb": 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24ul7AA2ASi8D/29a8394wGtHe++c3p++M98d5Y5okzZ5rL5amzAJvE3V/5Svvnj0ethf+75ZbF1+/48IebP/zud+3fo+Xx8M9+1r7nvu98p7n7y19u1sKWi0/tutgAsKFMekR5dEmVrqg973vfWEvj4Z//vG1J1O/ps9JHlAsLgA3I/2cBwKYjLABICQsAUsICgJSwACAlLABICQsAUu6zACClZQFASlgAkBIWAKSEBQApYQFASlgAkBIWAKSEBQApYQFASlgAkBIWAKT+Cx6vX1IhZsT+AAAAAElFTkSuQmCC"
-}
diff --git a/dist/projects/job-application.json b/dist/projects/job-application.json
index c1ae39ba2..818a2772b 100644
--- a/dist/projects/job-application.json
+++ b/dist/projects/job-application.json
@@ -2,9 +2,9 @@
   "slug": "job-application",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/06-job-application",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:23.373Z",
+  "createdAt": "2023-08-10T20:09:28.995Z",
   "prefix": 6,
   "track": "web-dev",
   "intl": {
diff --git a/dist/projects/md-links.json b/dist/projects/md-links.json
index c80a76aeb..0c8a16a26 100644
--- a/dist/projects/md-links.json
+++ b/dist/projects/md-links.json
@@ -2,9 +2,9 @@
   "slug": "md-links",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/04-md-links",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:09.823Z",
+  "createdAt": "2023-08-10T20:09:27.065Z",
   "prefix": 4,
   "track": "web-dev",
   "learningObjectives": [
diff --git a/dist/projects/memory-match.json b/dist/projects/memory-match.json
index fbe47698d..0d4ff8f5f 100644
--- a/dist/projects/memory-match.json
+++ b/dist/projects/memory-match.json
@@ -2,9 +2,9 @@
   "slug": "memory-match",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/02-memory-match",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:25:56.247Z",
+  "createdAt": "2023-08-10T20:09:26.069Z",
   "prefix": 2,
   "track": "web-dev",
   "learningObjectives": [
diff --git a/dist/projects/mindset-mvp.json b/dist/projects/mindset-mvp.json
new file mode 100644
index 000000000..db5fdf496
--- /dev/null
+++ b/dist/projects/mindset-mvp.json
@@ -0,0 +1,54 @@
+{
+  "slug": "mindset-mvp",
+  "repo": "Laboratoria/bootcamp",
+  "path": "projects/02-mindset-mvp",
+  "version": "6.6.0",
+  "parserVersion": "5.0.0-beta.0",
+  "createdAt": "2023-08-10T20:09:25.958Z",
+  "prefix": 2,
+  "track": "ux",
+  "learningObjectives": [
+    "agile-planning/workplan",
+    "agile-planning/tasks",
+    "business-understanding/business-model",
+    "business-understanding/goals-and-kpis",
+    "business-understanding/benchmark",
+    "research/planning/research-plan",
+    "research/planning/desk-research",
+    "research/planning/research-sample",
+    "research/planning/participants",
+    "research/qualitative/user-interviews",
+    "research/analysis/process-information",
+    "research/analysis/experience-mapping",
+    "research/analysis/identify-patterns",
+    "research/analysis/synthesize-results",
+    "design-concept/define-mvp",
+    "design-concept/design-references",
+    "design-concept/ideate",
+    "design-concept/prioritize-ideas",
+    "interaction-design/user-flows",
+    "interaction-design/usability",
+    "interaction-design/information-architecture",
+    "content-design/create-content",
+    "interface-design/visual-design",
+    "interface-design/accesibility",
+    "design-prototype/basic-prototypes",
+    "design-prototype/high-fidelity",
+    "usability-analysis/moderated-testing",
+    "usability-analysis/heuristic-analysis",
+    "design-pitch/design-feedback",
+    "design-pitch/design-presentation",
+    "design-specs/file-organization",
+    "design-specs/use-cases",
+    "design-specs/project-documentation",
+    "design-systems/atomic-design"
+  ],
+  "intl": {
+    "es": {
+      "title": "Mindset MVP",
+      "summary": "<p>Trabajarás con tu squad haciendo consultoría UX a una startup. En este proyecto\nliderarán el 100% de los espacios con clientes (workshops, weeklys,\ncomunicación, entregables, etc). Este proyecto es abierto y podrá incluir\ntrabajo con otros perfiles como desarrolladoras, product managers, etc.\nAnteriores retos han incluido empresas como Kmimos, Guvery, Sinenvolturas,\nMagical Startups, Laboratoria, entre otras.</p>"
+    }
+  },
+  "cover": null,
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+}
diff --git a/dist/projects/movie-challenge-fw.json b/dist/projects/movie-challenge-fw.json
index 556f3833d..37576c460 100644
--- a/dist/projects/movie-challenge-fw.json
+++ b/dist/projects/movie-challenge-fw.json
@@ -2,9 +2,9 @@
   "slug": "movie-challenge-fw",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/05-movie-challenge-fw",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:14.325Z",
+  "createdAt": "2023-08-10T20:09:27.980Z",
   "prefix": 5,
   "track": "web-dev",
   "learningObjectives": [
diff --git a/dist/projects/movie-challenge.json b/dist/projects/movie-challenge.json
index 71ddf7374..416983669 100644
--- a/dist/projects/movie-challenge.json
+++ b/dist/projects/movie-challenge.json
@@ -2,9 +2,9 @@
   "slug": "movie-challenge",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/02-movie-challenge",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:25:56.010Z",
+  "createdAt": "2023-08-10T20:09:25.998Z",
   "prefix": 2,
   "track": "web-dev",
   "learningObjectives": [
diff --git a/dist/projects/notes.json b/dist/projects/notes.json
index dad52c304..aa77bf600 100644
--- a/dist/projects/notes.json
+++ b/dist/projects/notes.json
@@ -2,9 +2,9 @@
   "slug": "notes",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/04-notes",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:09.702Z",
+  "createdAt": "2023-08-10T20:09:27.043Z",
   "prefix": 4,
   "track": "web-dev",
   "learningObjectives": [
diff --git a/dist/projects/open-project.json b/dist/projects/open-project.json
index fb2a417a5..675212403 100644
--- a/dist/projects/open-project.json
+++ b/dist/projects/open-project.json
@@ -2,9 +2,9 @@
   "slug": "open-project",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/05-open-project",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:14.196Z",
+  "createdAt": "2023-08-10T20:09:27.927Z",
   "prefix": 5,
   "track": "web-dev",
   "intl": {
diff --git a/dist/projects/roman-numerals-slack.json b/dist/projects/roman-numerals-slack.json
index d594de090..65dca408a 100644
--- a/dist/projects/roman-numerals-slack.json
+++ b/dist/projects/roman-numerals-slack.json
@@ -2,9 +2,9 @@
   "slug": "roman-numerals-slack",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/05-roman-numerals-slack",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:18.816Z",
+  "createdAt": "2023-08-10T20:09:27.945Z",
   "prefix": 5,
   "track": "web-dev",
   "learningObjectives": [
diff --git a/dist/projects/roman-numerals.json b/dist/projects/roman-numerals.json
index ac3fce4ff..b50f2b7ae 100644
--- a/dist/projects/roman-numerals.json
+++ b/dist/projects/roman-numerals.json
@@ -2,9 +2,9 @@
   "slug": "roman-numerals",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/05-roman-numerals",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:18.927Z",
+  "createdAt": "2023-08-10T20:09:27.976Z",
   "prefix": 5,
   "track": "web-dev",
   "learningObjectives": [
diff --git a/dist/projects/small-businesses.json b/dist/projects/small-businesses.json
deleted file mode 100644
index a3731b56d..000000000
--- a/dist/projects/small-businesses.json
+++ /dev/null
@@ -1,56 +0,0 @@
-{
-  "slug": "small-businesses",
-  "repo": "Laboratoria/bootcamp",
-  "path": "projects/02-small-businesses",
-  "version": "6.5.1",
-  "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:25:55.914Z",
-  "prefix": 2,
-  "track": "ux",
-  "learningObjectives": [
-    "user-centricity/user-oriented",
-    "user-centricity/prioritization",
-    "business/model",
-    "business/goals",
-    "business/metrics",
-    "business/benchmark",
-    "research/planning",
-    "research/support",
-    "research/guidelines",
-    "research/interview",
-    "research/documentation",
-    "research/adaptation",
-    "research/sources",
-    "research/test",
-    "synthesis/weighing",
-    "synthesis/patterns",
-    "synthesis/insights",
-    "synthesis/mapping",
-    "synthesis/features",
-    "synthesis/ideation",
-    "synthesis/feature-prioritization",
-    "product-design/user-flows",
-    "product-design/content",
-    "product-design/fidelity",
-    "product-design/interactivity",
-    "product-design/usability",
-    "product-design/visual-design",
-    "product-design/component-organization",
-    "product-design/project-organization",
-    "communication/presentation",
-    "communication/negotiation",
-    "communication/relationship-management",
-    "communication/case-study",
-    "planning/monitor",
-    "planning/prioritization",
-    "planning/tools"
-  ],
-  "intl": {
-    "es": {
-      "title": "Pequeñas empresas",
-      "summary": "<p>Ayudarás a un emprendimiento a conocer las necesidades de sus usuarios actuales\ny, luego de priorizar las soluciones, crearás una propuesta de valor\nasegurándote que resuelva las necesidades de esos usuarios.</p>"
-    }
-  },
-  "cover": null,
-  "thumb": 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"
-}
diff --git a/dist/projects/social-network-fw.json b/dist/projects/social-network-fw.json
index 0e81e1131..2d5b261f7 100644
--- a/dist/projects/social-network-fw.json
+++ b/dist/projects/social-network-fw.json
@@ -2,9 +2,9 @@
   "slug": "social-network-fw",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/05-social-network-fw",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:18.955Z",
+  "createdAt": "2023-08-10T20:09:28.008Z",
   "prefix": 5,
   "track": "web-dev",
   "learningObjectives": [
diff --git a/dist/projects/social-network.json b/dist/projects/social-network.json
index 9f43694d2..92c7ce3b4 100644
--- a/dist/projects/social-network.json
+++ b/dist/projects/social-network.json
@@ -2,9 +2,9 @@
   "slug": "social-network",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/03-social-network",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:00.503Z",
+  "createdAt": "2023-08-10T20:09:27.090Z",
   "prefix": 3,
   "track": "web-dev",
   "learningObjectives": [
diff --git a/dist/projects/text-analyzer.json b/dist/projects/text-analyzer.json
index 794da57ff..b2f2d276a 100644
--- a/dist/projects/text-analyzer.json
+++ b/dist/projects/text-analyzer.json
@@ -2,9 +2,9 @@
   "slug": "text-analyzer",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/01-text-analyzer",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:25:52.775Z",
+  "createdAt": "2023-08-10T20:09:25.095Z",
   "prefix": 1,
   "track": "web-dev",
   "learningObjectives": [
diff --git a/dist/projects/trivia.json b/dist/projects/trivia.json
index 1beded4f9..bdd77cc90 100644
--- a/dist/projects/trivia.json
+++ b/dist/projects/trivia.json
@@ -2,9 +2,9 @@
   "slug": "trivia",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/00-trivia",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:25:44.222Z",
+  "createdAt": "2023-08-10T20:09:25.080Z",
   "prefix": 0,
   "track": "web-dev",
   "learningObjectives": [
diff --git a/dist/projects/ux-consultancy.json b/dist/projects/ux-consultancy.json
deleted file mode 100644
index ef03c988f..000000000
--- a/dist/projects/ux-consultancy.json
+++ /dev/null
@@ -1,59 +0,0 @@
-{
-  "slug": "ux-consultancy",
-  "repo": "Laboratoria/bootcamp",
-  "path": "projects/03-ux-consultancy",
-  "version": "6.5.1",
-  "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:04.201Z",
-  "prefix": 3,
-  "track": "ux",
-  "learningObjectives": [
-    "user-centricity/user-oriented",
-    "user-centricity/prioritization",
-    "business/model",
-    "business/goals",
-    "business/metrics",
-    "business/benchmark",
-    "research/planning",
-    "research/support",
-    "research/guidelines",
-    "research/interview",
-    "research/documentation",
-    "research/adaptation",
-    "research/sources",
-    "research/test",
-    "research/cuantitative-data",
-    "synthesis/weighing",
-    "synthesis/patterns",
-    "synthesis/insights",
-    "synthesis/mapping",
-    "synthesis/features",
-    "synthesis/ideation",
-    "synthesis/feature-prioritization",
-    "product-design/user-flows",
-    "product-design/content",
-    "product-design/fidelity",
-    "product-design/interactivity",
-    "product-design/usability",
-    "product-design/accessibility",
-    "product-design/visual-design",
-    "product-design/component-organization",
-    "product-design/project-organization",
-    "product-design/documentation",
-    "communication/presentation",
-    "communication/negotiation",
-    "communication/relationship-management",
-    "communication/case-study",
-    "planning/monitor",
-    "planning/prioritization",
-    "planning/tools"
-  ],
-  "intl": {
-    "es": {
-      "title": "Consultoria UX",
-      "summary": "<p>Trabajarás con tu squad haciendo consultoría UX a una startup. En este proyecto\nliderarán el 100% de los espacios con clientes (workshops, weeklys,\ncomunicación, entregables, etc). Este proyecto es abierto y podrá incluir\ntrabajo con otros perfiles como desarrolladoras, product managers, etc.\nAnteriores retos han incluido empresas como Kmimos, Guvery, Sinenvolturas,\nMagical Startups, Laboratoria, entre otras.</p>"
-    }
-  },
-  "cover": null,
-  "thumb": 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-}
diff --git a/dist/projects/uxploradora.json b/dist/projects/uxploradoras-ui.json
similarity index 95%
rename from dist/projects/uxploradora.json
rename to dist/projects/uxploradoras-ui.json
index dc6c43e21..a09594586 100644
--- a/dist/projects/uxploradora.json
+++ b/dist/projects/uxploradoras-ui.json
@@ -1,56 +1,20 @@
 {
-  "slug": "uxploradora",
+  "slug": "uxploradoras-ui",
   "repo": "Laboratoria/bootcamp",
-  "path": "projects/02-uxploradora",
-  "version": "6.5.1",
+  "path": "projects/02-uxploradoras-ui",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:00.047Z",
+  "createdAt": "2023-08-10T20:09:25.996Z",
   "prefix": 2,
   "track": "ux",
   "learningObjectives": [
-    "user-centricity/user-oriented",
-    "user-centricity/prioritization",
-    "business/model",
-    "business/goals",
-    "business/metrics",
-    "business/benchmark",
-    "research/planning",
-    "research/support",
-    "research/guidelines",
-    "research/interview",
-    "research/documentation",
-    "research/adaptation",
-    "research/sources",
-    "research/test",
-    "research/cuantitative-data",
-    "synthesis/weighing",
-    "synthesis/patterns",
-    "synthesis/insights",
-    "synthesis/mapping",
-    "synthesis/features",
-    "synthesis/ideation",
-    "synthesis/feature-prioritization",
-    "product-design/user-flows",
-    "product-design/content",
-    "product-design/fidelity",
-    "product-design/interactivity",
-    "product-design/usability",
-    "product-design/accessibility",
-    "product-design/visual-design",
-    "product-design/component-organization",
-    "product-design/project-organization",
-    "product-design/documentation",
-    "communication/presentation",
-    "communication/negotiation",
-    "communication/relationship-management",
-    "communication/case-study",
-    "planning/monitor",
-    "planning/prioritization",
-    "planning/tools"
+    "agile-planning/scope",
+    "agile-planning/workplan",
+    "agile-planning/tasks"
   ],
   "intl": {
     "es": {
-      "title": "UXploradoras",
+      "title": "UXploradoras en el multiverso UI",
       "summary": "<p>Este es un proyecto flexible que puedes adecuar según el contexto de aprendizaje\nen el que te encuentres. En conjunto con el equipo de Laboratoria, vas a elegir\nUNA de las 3 opciones disponibles, para poner en práctica técnicas y\nherramientas específicas según una etapa de diseño específica.</p>"
     }
   },
diff --git a/dist/projects/uxploradoras-ux.json b/dist/projects/uxploradoras-ux.json
new file mode 100644
index 000000000..119b6ef23
--- /dev/null
+++ b/dist/projects/uxploradoras-ux.json
@@ -0,0 +1,23 @@
+{
+  "slug": "uxploradoras-ux",
+  "repo": "Laboratoria/bootcamp",
+  "path": "projects/03-uxploradoras-ux",
+  "version": "6.6.0",
+  "parserVersion": "5.0.0-beta.0",
+  "createdAt": "2023-08-10T20:09:26.903Z",
+  "prefix": 3,
+  "track": "ux",
+  "learningObjectives": [
+    "agile-planning/scope",
+    "agile-planning/workplan",
+    "agile-planning/tasks"
+  ],
+  "intl": {
+    "es": {
+      "title": "UXploradoras en el laberinto UX",
+      "summary": "<p>Este es un proyecto flexible que puedes adecuar según el contexto de aprendizaje\nen el que te encuentres. En conjunto con el equipo de Laboratoria, vas a elegir\nUNA de las 3 opciones disponibles, para poner en práctica técnicas y\nherramientas específicas según una etapa de diseño específica.</p>"
+    }
+  },
+  "cover": null,
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+}
diff --git a/dist/projects/wordpress-plugin.json b/dist/projects/wordpress-plugin.json
index 86747d719..05398d95d 100644
--- a/dist/projects/wordpress-plugin.json
+++ b/dist/projects/wordpress-plugin.json
@@ -2,9 +2,9 @@
   "slug": "wordpress-plugin",
   "repo": "Laboratoria/bootcamp",
   "path": "projects/05-wordpress-plugin",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:23.155Z",
+  "createdAt": "2023-08-10T20:09:28.030Z",
   "prefix": 5,
   "track": "web-dev",
   "learningObjectives": [
diff --git a/dist/topics.json b/dist/topics.json
index 9debbc13e..c4b4e903b 100644
--- a/dist/topics.json
+++ b/dist/topics.json
@@ -3,9 +3,9 @@
     "slug": "browser",
     "repo": "Laboratoria/bootcamp",
     "path": "topics/browser",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:24.421Z",
+    "createdAt": "2023-08-10T20:09:29.456Z",
     "track": "web-dev",
     "intl": {
       "es": {
@@ -24,9 +24,9 @@
     "slug": "content-management",
     "repo": "Laboratoria/bootcamp",
     "path": "topics/content-management",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:28.872Z",
+    "createdAt": "2023-08-10T20:09:29.011Z",
     "track": "ux",
     "intl": {
       "es": {
@@ -41,9 +41,9 @@
     "slug": "css",
     "repo": "Laboratoria/bootcamp",
     "path": "topics/css",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:29.901Z",
+    "createdAt": "2023-08-10T20:09:29.364Z",
     "track": "web-dev",
     "intl": {
       "es": {
@@ -62,9 +62,9 @@
     "slug": "functional",
     "repo": "Laboratoria/bootcamp",
     "path": "topics/functional",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:29.664Z",
+    "createdAt": "2023-08-10T20:09:29.284Z",
     "track": "web-dev",
     "intl": {
       "es": {
@@ -79,9 +79,9 @@
     "slug": "html",
     "repo": "Laboratoria/bootcamp",
     "path": "topics/html",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:34.156Z",
+    "createdAt": "2023-08-10T20:09:29.154Z",
     "track": "web-dev",
     "intl": {
       "es": {
@@ -100,9 +100,9 @@
     "slug": "interaction-design",
     "repo": "Laboratoria/bootcamp",
     "path": "topics/interaction-design",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:34.117Z",
+    "createdAt": "2023-08-10T20:09:29.128Z",
     "track": "ux",
     "intl": {
       "es": {
@@ -117,9 +117,9 @@
     "slug": "intro-ux",
     "repo": "Laboratoria/bootcamp",
     "path": "topics/intro-ux",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:33.696Z",
+    "createdAt": "2023-08-10T20:09:30.370Z",
     "track": "ux",
     "intl": {
       "es": {
@@ -134,9 +134,9 @@
     "slug": "javascript",
     "repo": "Laboratoria/bootcamp",
     "path": "topics/javascript",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:40.297Z",
+    "createdAt": "2023-08-10T20:09:30.968Z",
     "track": "web-dev",
     "intl": {
       "es": {
@@ -155,9 +155,9 @@
     "slug": "learning-mindset",
     "repo": "Laboratoria/bootcamp",
     "path": "topics/learning-mindset",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:38.594Z",
+    "createdAt": "2023-08-10T20:09:30.333Z",
     "track": "web-dev",
     "intl": {
       "es": {
@@ -172,9 +172,9 @@
     "slug": "paradigms",
     "repo": "Laboratoria/bootcamp",
     "path": "topics/paradigms",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:39.348Z",
+    "createdAt": "2023-08-10T20:09:30.621Z",
     "track": "web-dev",
     "intl": {
       "es": {
@@ -189,9 +189,9 @@
     "slug": "prototyping",
     "repo": "Laboratoria/bootcamp",
     "path": "topics/prototyping",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:44.071Z",
+    "createdAt": "2023-08-10T20:09:30.418Z",
     "track": "ux",
     "intl": {
       "es": {
@@ -206,9 +206,9 @@
     "slug": "scm",
     "repo": "Laboratoria/bootcamp",
     "path": "topics/scm",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:44.413Z",
+    "createdAt": "2023-08-10T20:09:30.473Z",
     "track": "web-dev",
     "intl": {
       "es": {
@@ -227,9 +227,9 @@
     "slug": "shell",
     "repo": "Laboratoria/bootcamp",
     "path": "topics/shell",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:44.274Z",
+    "createdAt": "2023-08-10T20:09:30.413Z",
     "track": "web-dev",
     "intl": {
       "es": {
@@ -248,9 +248,9 @@
     "slug": "ux-research",
     "repo": "Laboratoria/bootcamp",
     "path": "topics/ux-research",
-    "version": "6.5.1",
+    "version": "6.6.0",
     "parserVersion": "5.0.0-beta.0",
-    "createdAt": "2023-07-31T18:26:45.961Z",
+    "createdAt": "2023-08-10T20:09:31.525Z",
     "track": "ux",
     "intl": {
       "es": {
diff --git a/dist/topics/browser.json b/dist/topics/browser.json
index 3ed9420c5..3b53b1d57 100644
--- a/dist/topics/browser.json
+++ b/dist/topics/browser.json
@@ -2,9 +2,9 @@
   "slug": "browser",
   "repo": "Laboratoria/bootcamp",
   "path": "topics/browser",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:24.421Z",
+  "createdAt": "2023-08-10T20:09:29.456Z",
   "track": "web-dev",
   "intl": {
     "es": {
diff --git a/dist/topics/content-management.json b/dist/topics/content-management.json
index d90357d57..1c6dbe988 100644
--- a/dist/topics/content-management.json
+++ b/dist/topics/content-management.json
@@ -2,9 +2,9 @@
   "slug": "content-management",
   "repo": "Laboratoria/bootcamp",
   "path": "topics/content-management",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:28.872Z",
+  "createdAt": "2023-08-10T20:09:29.011Z",
   "track": "ux",
   "intl": {
     "es": {
diff --git a/dist/topics/css.json b/dist/topics/css.json
index ee7ad60a9..12fe3f893 100644
--- a/dist/topics/css.json
+++ b/dist/topics/css.json
@@ -2,9 +2,9 @@
   "slug": "css",
   "repo": "Laboratoria/bootcamp",
   "path": "topics/css",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:29.901Z",
+  "createdAt": "2023-08-10T20:09:29.364Z",
   "track": "web-dev",
   "intl": {
     "es": {
diff --git a/dist/topics/functional.json b/dist/topics/functional.json
index 706caad54..1c7c79b21 100644
--- a/dist/topics/functional.json
+++ b/dist/topics/functional.json
@@ -2,9 +2,9 @@
   "slug": "functional",
   "repo": "Laboratoria/bootcamp",
   "path": "topics/functional",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:29.664Z",
+  "createdAt": "2023-08-10T20:09:29.284Z",
   "track": "web-dev",
   "intl": {
     "es": {
@@ -64,7 +64,7 @@
               "slug": "discount",
               "prefix": "01",
               "path": "topics/functional/01-state/02-practice/01-discount",
-              "createdAt": "2023-07-31T18:26:29.662Z",
+              "createdAt": "2023-08-10T20:09:29.283Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -82,7 +82,7 @@
               "slug": "serialize-user",
               "prefix": "02",
               "path": "topics/functional/01-state/02-practice/02-serialize-user",
-              "createdAt": "2023-07-31T18:26:29.663Z",
+              "createdAt": "2023-08-10T20:09:29.283Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -126,7 +126,7 @@
               "slug": "parse-items",
               "prefix": "01",
               "path": "topics/functional/01-state/04-practice-2/01-parse-items",
-              "createdAt": "2023-07-31T18:26:29.663Z",
+              "createdAt": "2023-08-10T20:09:29.283Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -205,7 +205,7 @@
               "slug": "repeat",
               "prefix": "01",
               "path": "topics/functional/03-hof/02-practice/01-repeat",
-              "createdAt": "2023-07-31T18:26:29.664Z",
+              "createdAt": "2023-08-10T20:09:29.284Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -249,7 +249,7 @@
               "slug": "bound-logger",
               "prefix": "01",
               "path": "topics/functional/03-hof/04-practice-2/01-bound-logger",
-              "createdAt": "2023-07-31T18:26:29.664Z",
+              "createdAt": "2023-08-10T20:09:29.284Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -267,7 +267,7 @@
               "slug": "logger",
               "prefix": "02",
               "path": "topics/functional/03-hof/04-practice-2/02-logger",
-              "createdAt": "2023-07-31T18:26:29.664Z",
+              "createdAt": "2023-08-10T20:09:29.284Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -311,7 +311,7 @@
               "slug": "curry-n",
               "prefix": "01",
               "path": "topics/functional/03-hof/06-practice-3/01-curry-n",
-              "createdAt": "2023-07-31T18:26:29.664Z",
+              "createdAt": "2023-08-10T20:09:29.284Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -390,7 +390,7 @@
               "slug": "apply-discount",
               "prefix": "01",
               "path": "topics/functional/05-flow-control/02-practice/01-apply-discount",
-              "createdAt": "2023-07-31T18:26:29.663Z",
+              "createdAt": "2023-08-10T20:09:29.284Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -408,7 +408,7 @@
               "slug": "reduce",
               "prefix": "02",
               "path": "topics/functional/05-flow-control/02-practice/02-reduce",
-              "createdAt": "2023-07-31T18:26:29.663Z",
+              "createdAt": "2023-08-10T20:09:29.284Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -426,7 +426,7 @@
               "slug": "get-dependencies",
               "prefix": "03",
               "path": "topics/functional/05-flow-control/02-practice/03-get-dependencies",
-              "createdAt": "2023-07-31T18:26:29.663Z",
+              "createdAt": "2023-08-10T20:09:29.284Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -470,7 +470,7 @@
               "slug": "load-users",
               "prefix": "01",
               "path": "topics/functional/05-flow-control/04-practice-2/01-load-users",
-              "createdAt": "2023-07-31T18:26:29.663Z",
+              "createdAt": "2023-08-10T20:09:29.284Z",
               "env": "cjs",
               "intl": {
                 "es": {
diff --git a/dist/topics/html.json b/dist/topics/html.json
index 835708302..4787f29b6 100644
--- a/dist/topics/html.json
+++ b/dist/topics/html.json
@@ -2,9 +2,9 @@
   "slug": "html",
   "repo": "Laboratoria/bootcamp",
   "path": "topics/html",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:34.156Z",
+  "createdAt": "2023-08-10T20:09:29.154Z",
   "track": "web-dev",
   "intl": {
     "es": {
diff --git a/dist/topics/interaction-design.json b/dist/topics/interaction-design.json
index 45c810f1c..2700fba9c 100644
--- a/dist/topics/interaction-design.json
+++ b/dist/topics/interaction-design.json
@@ -2,9 +2,9 @@
   "slug": "interaction-design",
   "repo": "Laboratoria/bootcamp",
   "path": "topics/interaction-design",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:34.117Z",
+  "createdAt": "2023-08-10T20:09:29.128Z",
   "track": "ux",
   "intl": {
     "es": {
diff --git a/dist/topics/intro-ux.json b/dist/topics/intro-ux.json
index 7c81d6862..ff886f9a1 100644
--- a/dist/topics/intro-ux.json
+++ b/dist/topics/intro-ux.json
@@ -2,9 +2,9 @@
   "slug": "intro-ux",
   "repo": "Laboratoria/bootcamp",
   "path": "topics/intro-ux",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:33.696Z",
+  "createdAt": "2023-08-10T20:09:30.370Z",
   "track": "ux",
   "intl": {
     "es": {
diff --git a/dist/topics/javascript.json b/dist/topics/javascript.json
index 5dbb7dcbd..997b05c77 100644
--- a/dist/topics/javascript.json
+++ b/dist/topics/javascript.json
@@ -2,9 +2,9 @@
   "slug": "javascript",
   "repo": "Laboratoria/bootcamp",
   "path": "topics/javascript",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:40.297Z",
+  "createdAt": "2023-08-10T20:09:30.968Z",
   "track": "web-dev",
   "intl": {
     "es": {
@@ -116,7 +116,7 @@
               "slug": "coin-convert",
               "prefix": "01",
               "path": "topics/javascript/01-basics/06-exercises/01-coin-convert",
-              "createdAt": "2023-07-31T18:26:40.294Z",
+              "createdAt": "2023-08-10T20:09:30.966Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -138,7 +138,7 @@
               "slug": "restaurant-bill",
               "prefix": "02",
               "path": "topics/javascript/01-basics/06-exercises/02-restaurant-bill",
-              "createdAt": "2023-07-31T18:26:40.294Z",
+              "createdAt": "2023-08-10T20:09:30.966Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -289,7 +289,7 @@
               "slug": "power-of-two",
               "prefix": "01",
               "path": "topics/javascript/02-flow-control/06-code-challenges/01-power-of-two",
-              "createdAt": "2023-07-31T18:26:40.295Z",
+              "createdAt": "2023-08-10T20:09:30.966Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -313,7 +313,7 @@
               "slug": "reverse",
               "prefix": "02",
               "path": "topics/javascript/02-flow-control/06-code-challenges/02-reverse",
-              "createdAt": "2023-07-31T18:26:40.295Z",
+              "createdAt": "2023-08-10T20:09:30.966Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -336,7 +336,7 @@
               "slug": "count-vowels",
               "prefix": "03",
               "path": "topics/javascript/02-flow-control/06-code-challenges/03-count-vowels",
-              "createdAt": "2023-07-31T18:26:40.295Z",
+              "createdAt": "2023-08-10T20:09:30.967Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -359,7 +359,7 @@
               "slug": "even-or-odd",
               "prefix": "04",
               "path": "topics/javascript/02-flow-control/06-code-challenges/04-even-or-odd",
-              "createdAt": "2023-07-31T18:26:40.295Z",
+              "createdAt": "2023-08-10T20:09:30.967Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -382,7 +382,7 @@
               "slug": "max",
               "prefix": "05",
               "path": "topics/javascript/02-flow-control/06-code-challenges/05-max",
-              "createdAt": "2023-07-31T18:26:40.295Z",
+              "createdAt": "2023-08-10T20:09:30.967Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -405,7 +405,7 @@
               "slug": "is-prime",
               "prefix": "06",
               "path": "topics/javascript/02-flow-control/06-code-challenges/06-is-prime",
-              "createdAt": "2023-07-31T18:26:40.295Z",
+              "createdAt": "2023-08-10T20:09:30.967Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -428,7 +428,7 @@
               "slug": "can-drive-and-vote",
               "prefix": "07",
               "path": "topics/javascript/02-flow-control/06-code-challenges/07-can-drive-and-vote",
-              "createdAt": "2023-07-31T18:26:40.295Z",
+              "createdAt": "2023-08-10T20:09:30.967Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -451,7 +451,7 @@
               "slug": "are-odd",
               "prefix": "08",
               "path": "topics/javascript/02-flow-control/06-code-challenges/08-are-odd",
-              "createdAt": "2023-07-31T18:26:40.295Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -649,7 +649,7 @@
               "slug": "compute-average-length-of-words",
               "prefix": "01",
               "path": "topics/javascript/04-arrays/06-practice/01-compute-average-length-of-words",
-              "createdAt": "2023-07-31T18:26:40.295Z",
+              "createdAt": "2023-08-10T20:09:30.967Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -672,7 +672,7 @@
               "slug": "get-nth-element",
               "prefix": "02",
               "path": "topics/javascript/04-arrays/06-practice/02-get-nth-element",
-              "createdAt": "2023-07-31T18:26:40.295Z",
+              "createdAt": "2023-08-10T20:09:30.967Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -695,7 +695,7 @@
               "slug": "convert-double-space-to-single",
               "prefix": "03",
               "path": "topics/javascript/04-arrays/06-practice/03-convert-double-space-to-single",
-              "createdAt": "2023-07-31T18:26:40.295Z",
+              "createdAt": "2023-08-10T20:09:30.967Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -718,7 +718,7 @@
               "slug": "are-valid-credentials",
               "prefix": "04",
               "path": "topics/javascript/04-arrays/06-practice/04-are-valid-credentials",
-              "createdAt": "2023-07-31T18:26:40.295Z",
+              "createdAt": "2023-08-10T20:09:30.967Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -741,7 +741,7 @@
               "slug": "find-pair-for-sum",
               "prefix": "05",
               "path": "topics/javascript/04-arrays/06-practice/05-find-pair-for-sum",
-              "createdAt": "2023-07-31T18:26:40.295Z",
+              "createdAt": "2023-08-10T20:09:30.967Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -764,7 +764,7 @@
               "slug": "filter-odd-elements",
               "prefix": "06",
               "path": "topics/javascript/04-arrays/06-practice/06-filter-odd-elements",
-              "createdAt": "2023-07-31T18:26:40.296Z",
+              "createdAt": "2023-08-10T20:09:30.967Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -787,7 +787,7 @@
               "slug": "find-shortest-word-among-mixed-elements",
               "prefix": "07",
               "path": "topics/javascript/04-arrays/06-practice/07-find-shortest-word-among-mixed-elements",
-              "createdAt": "2023-07-31T18:26:40.295Z",
+              "createdAt": "2023-08-10T20:09:30.967Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -810,7 +810,7 @@
               "slug": "find-smallest-number-among-mixed-elements",
               "prefix": "08",
               "path": "topics/javascript/04-arrays/06-practice/08-find-smallest-number-among-mixed-elements",
-              "createdAt": "2023-07-31T18:26:40.295Z",
+              "createdAt": "2023-08-10T20:09:30.967Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -833,7 +833,7 @@
               "slug": "get-longest-word-of-mixed-elements",
               "prefix": "09",
               "path": "topics/javascript/04-arrays/06-practice/09-get-longest-word-of-mixed-elements",
-              "createdAt": "2023-07-31T18:26:40.295Z",
+              "createdAt": "2023-08-10T20:09:30.967Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -856,7 +856,7 @@
               "slug": "get-largest-number-among-mixed-elements",
               "prefix": "10",
               "path": "topics/javascript/04-arrays/06-practice/10-get-largest-number-among-mixed-elements",
-              "createdAt": "2023-07-31T18:26:40.295Z",
+              "createdAt": "2023-08-10T20:09:30.967Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -879,7 +879,7 @@
               "slug": "compute-sum-of-all-elements",
               "prefix": "11",
               "path": "topics/javascript/04-arrays/06-practice/11-compute-sum-of-all-elements",
-              "createdAt": "2023-07-31T18:26:40.296Z",
+              "createdAt": "2023-08-10T20:09:30.967Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -902,7 +902,7 @@
               "slug": "compute-sum-between",
               "prefix": "12",
               "path": "topics/javascript/04-arrays/06-practice/12-compute-sum-between",
-              "createdAt": "2023-07-31T18:26:40.296Z",
+              "createdAt": "2023-08-10T20:09:30.967Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -925,7 +925,7 @@
               "slug": "get-longest-of-three-words",
               "prefix": "13",
               "path": "topics/javascript/04-arrays/06-practice/13-get-longest-of-three-words",
-              "createdAt": "2023-07-31T18:26:40.296Z",
+              "createdAt": "2023-08-10T20:09:30.967Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -948,7 +948,7 @@
               "slug": "find-shortest-of-three-words",
               "prefix": "14",
               "path": "topics/javascript/04-arrays/06-practice/14-find-shortest-of-three-words",
-              "createdAt": "2023-07-31T18:26:40.296Z",
+              "createdAt": "2023-08-10T20:09:30.967Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -971,7 +971,7 @@
               "slug": "calculate-bill-total",
               "prefix": "15",
               "path": "topics/javascript/04-arrays/06-practice/15-calculate-bill-total",
-              "createdAt": "2023-07-31T18:26:40.296Z",
+              "createdAt": "2023-08-10T20:09:30.967Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -994,7 +994,7 @@
               "slug": "convert-score-to-grade",
               "prefix": "16",
               "path": "topics/javascript/04-arrays/06-practice/16-convert-score-to-grade",
-              "createdAt": "2023-07-31T18:26:40.296Z",
+              "createdAt": "2023-08-10T20:09:30.967Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -1114,7 +1114,7 @@
               "slug": "add-array-property",
               "prefix": "00",
               "path": "topics/javascript/05-objects/06-practice/00-add-array-property",
-              "createdAt": "2023-07-31T18:26:40.296Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -1137,7 +1137,7 @@
               "slug": "object-properties-counter",
               "prefix": "01",
               "path": "topics/javascript/05-objects/06-practice/01-object-properties-counter",
-              "createdAt": "2023-07-31T18:26:40.296Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -1160,7 +1160,7 @@
               "slug": "remove-string-values-longer-than",
               "prefix": "02",
               "path": "topics/javascript/05-objects/06-practice/02-remove-string-values-longer-than",
-              "createdAt": "2023-07-31T18:26:40.296Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -1183,7 +1183,7 @@
               "slug": "get-element-of-array-property",
               "prefix": "03",
               "path": "topics/javascript/05-objects/06-practice/03-get-element-of-array-property",
-              "createdAt": "2023-07-31T18:26:40.296Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -1206,7 +1206,7 @@
               "slug": "greet-customer",
               "prefix": "04",
               "path": "topics/javascript/05-objects/06-practice/04-greet-customer",
-              "createdAt": "2023-07-31T18:26:40.296Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -1229,7 +1229,7 @@
               "slug": "transform-first-and-last",
               "prefix": "05",
               "path": "topics/javascript/05-objects/06-practice/05-transform-first-and-last",
-              "createdAt": "2023-07-31T18:26:40.296Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -1252,7 +1252,7 @@
               "slug": "get-all-keys",
               "prefix": "06",
               "path": "topics/javascript/05-objects/06-practice/06-get-all-keys",
-              "createdAt": "2023-07-31T18:26:40.296Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -1275,7 +1275,7 @@
               "slug": "from-list-to-object",
               "prefix": "07",
               "path": "topics/javascript/05-objects/06-practice/07-from-list-to-object",
-              "createdAt": "2023-07-31T18:26:40.296Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -1298,7 +1298,7 @@
               "slug": "list-all-values",
               "prefix": "08",
               "path": "topics/javascript/05-objects/06-practice/08-list-all-values",
-              "createdAt": "2023-07-31T18:26:40.297Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -1321,7 +1321,7 @@
               "slug": "transform-employee-data",
               "prefix": "09",
               "path": "topics/javascript/05-objects/06-practice/09-transform-employee-data",
-              "createdAt": "2023-07-31T18:26:40.297Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -1344,7 +1344,7 @@
               "slug": "convert-object-to-list",
               "prefix": "10",
               "path": "topics/javascript/05-objects/06-practice/10-convert-object-to-list",
-              "createdAt": "2023-07-31T18:26:40.297Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -1367,7 +1367,7 @@
               "slug": "get-sum-of-all-elements-at-property",
               "prefix": "11",
               "path": "topics/javascript/05-objects/06-practice/11-get-sum-of-all-elements-at-property",
-              "createdAt": "2023-07-31T18:26:40.297Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -1390,7 +1390,7 @@
               "slug": "get-product-of-all-elements-at-property",
               "prefix": "12",
               "path": "topics/javascript/05-objects/06-practice/12-get-product-of-all-elements-at-property",
-              "createdAt": "2023-07-31T18:26:40.297Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -1413,7 +1413,7 @@
               "slug": "add-object-property",
               "prefix": "13",
               "path": "topics/javascript/05-objects/06-practice/13-add-object-property",
-              "createdAt": "2023-07-31T18:26:40.297Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -1436,7 +1436,7 @@
               "slug": "add-full-name-property",
               "prefix": "14",
               "path": "topics/javascript/05-objects/06-practice/14-add-full-name-property",
-              "createdAt": "2023-07-31T18:26:40.297Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -1507,7 +1507,7 @@
               "slug": "currency-amount",
               "prefix": "01",
               "path": "topics/javascript/06-strings/02-practice/01-currency-amount",
-              "createdAt": "2023-07-31T18:26:40.296Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -1530,7 +1530,7 @@
               "slug": "first-and-last-to-upper",
               "prefix": "02",
               "path": "topics/javascript/06-strings/02-practice/02-first-and-last-to-upper",
-              "createdAt": "2023-07-31T18:26:40.296Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -1773,7 +1773,7 @@
               "slug": "validate-string",
               "prefix": "01",
               "path": "topics/javascript/09-errors/05-practice/01-validate-string",
-              "createdAt": "2023-07-31T18:26:40.297Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -1795,7 +1795,7 @@
               "slug": "parse-json",
               "prefix": "02",
               "path": "topics/javascript/09-errors/05-practice/02-parse-json",
-              "createdAt": "2023-07-31T18:26:40.297Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -1913,7 +1913,7 @@
               "slug": "say-hello",
               "prefix": "01",
               "path": "topics/javascript/10-debugging/03-code-challenges/01-say-hello",
-              "createdAt": "2023-07-31T18:26:40.297Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -1935,7 +1935,7 @@
               "slug": "create-array",
               "prefix": "02",
               "path": "topics/javascript/10-debugging/03-code-challenges/02-create-array",
-              "createdAt": "2023-07-31T18:26:40.297Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -1957,7 +1957,7 @@
               "slug": "calculate-tip",
               "prefix": "03",
               "path": "topics/javascript/10-debugging/03-code-challenges/03-calculate-tip",
-              "createdAt": "2023-07-31T18:26:40.297Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -1979,7 +1979,7 @@
               "slug": "tell-fortune",
               "prefix": "04",
               "path": "topics/javascript/10-debugging/03-code-challenges/04-tell-fortune",
-              "createdAt": "2023-07-31T18:26:40.297Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -2001,7 +2001,7 @@
               "slug": "what-to-wear",
               "prefix": "05",
               "path": "topics/javascript/10-debugging/03-code-challenges/05-what-to-wear",
-              "createdAt": "2023-07-31T18:26:40.297Z",
+              "createdAt": "2023-08-10T20:09:30.968Z",
               "env": "cjs",
               "intl": {
                 "es": {
diff --git a/dist/topics/learning-mindset.json b/dist/topics/learning-mindset.json
index 680f3f498..d6798f43f 100644
--- a/dist/topics/learning-mindset.json
+++ b/dist/topics/learning-mindset.json
@@ -2,9 +2,9 @@
   "slug": "learning-mindset",
   "repo": "Laboratoria/bootcamp",
   "path": "topics/learning-mindset",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:38.594Z",
+  "createdAt": "2023-08-10T20:09:30.333Z",
   "track": "web-dev",
   "intl": {
     "es": {
diff --git a/dist/topics/paradigms.json b/dist/topics/paradigms.json
index b46aba8d8..7a8a751fd 100644
--- a/dist/topics/paradigms.json
+++ b/dist/topics/paradigms.json
@@ -2,9 +2,9 @@
   "slug": "paradigms",
   "repo": "Laboratoria/bootcamp",
   "path": "topics/paradigms",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:39.348Z",
+  "createdAt": "2023-08-10T20:09:30.621Z",
   "track": "web-dev",
   "intl": {
     "es": {
@@ -88,7 +88,7 @@
               "slug": "print-primes",
               "prefix": "01",
               "path": "topics/paradigms/01-paradigms/04-imperative-exercise/01-print-primes",
-              "createdAt": "2023-07-31T18:26:39.344Z",
+              "createdAt": "2023-08-10T20:09:30.620Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -144,7 +144,7 @@
               "slug": "get-primes",
               "prefix": "01",
               "path": "topics/paradigms/01-paradigms/07-procedural-exercise/01-get-primes",
-              "createdAt": "2023-07-31T18:26:39.343Z",
+              "createdAt": "2023-08-10T20:09:30.620Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -188,7 +188,7 @@
               "slug": "notes",
               "prefix": "01",
               "path": "topics/paradigms/01-paradigms/09-oop-exercise/01-notes",
-              "createdAt": "2023-07-31T18:26:39.344Z",
+              "createdAt": "2023-08-10T20:09:30.620Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -232,7 +232,7 @@
               "slug": "notes",
               "prefix": "01",
               "path": "topics/paradigms/01-paradigms/11-fp-exercise/01-notes",
-              "createdAt": "2023-07-31T18:26:39.344Z",
+              "createdAt": "2023-08-10T20:09:30.620Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -335,7 +335,7 @@
               "slug": "simple-objects",
               "prefix": "01",
               "path": "topics/paradigms/03-proto/04-ejercicios/01-simple-objects",
-              "createdAt": "2023-07-31T18:26:39.344Z",
+              "createdAt": "2023-08-10T20:09:30.620Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -353,7 +353,7 @@
               "slug": "proto",
               "prefix": "02",
               "path": "topics/paradigms/03-proto/04-ejercicios/02-proto",
-              "createdAt": "2023-07-31T18:26:39.344Z",
+              "createdAt": "2023-08-10T20:09:30.620Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -371,7 +371,7 @@
               "slug": "dynamic-lookups",
               "prefix": "03",
               "path": "topics/paradigms/03-proto/04-ejercicios/03-dynamic-lookups",
-              "createdAt": "2023-07-31T18:26:39.344Z",
+              "createdAt": "2023-08-10T20:09:30.621Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -389,7 +389,7 @@
               "slug": "property-assignments",
               "prefix": "04",
               "path": "topics/paradigms/03-proto/04-ejercicios/04-property-assignments",
-              "createdAt": "2023-07-31T18:26:39.344Z",
+              "createdAt": "2023-08-10T20:09:30.621Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -407,7 +407,7 @@
               "slug": "arrays-and-objects",
               "prefix": "05",
               "path": "topics/paradigms/03-proto/04-ejercicios/05-arrays-and-objects",
-              "createdAt": "2023-07-31T18:26:39.344Z",
+              "createdAt": "2023-08-10T20:09:30.621Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -425,7 +425,7 @@
               "slug": "object-create",
               "prefix": "06",
               "path": "topics/paradigms/03-proto/04-ejercicios/06-object-create",
-              "createdAt": "2023-07-31T18:26:39.344Z",
+              "createdAt": "2023-08-10T20:09:30.621Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -443,7 +443,7 @@
               "slug": "dot-new",
               "prefix": "07",
               "path": "topics/paradigms/03-proto/04-ejercicios/07-dot-new",
-              "createdAt": "2023-07-31T18:26:39.344Z",
+              "createdAt": "2023-08-10T20:09:30.621Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -461,7 +461,7 @@
               "slug": "constructor-functions",
               "prefix": "08",
               "path": "topics/paradigms/03-proto/04-ejercicios/08-constructor-functions",
-              "createdAt": "2023-07-31T18:26:39.344Z",
+              "createdAt": "2023-08-10T20:09:30.621Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -479,7 +479,7 @@
               "slug": "implicit-this",
               "prefix": "09",
               "path": "topics/paradigms/03-proto/04-ejercicios/09-implicit-this",
-              "createdAt": "2023-07-31T18:26:39.344Z",
+              "createdAt": "2023-08-10T20:09:30.621Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -497,7 +497,7 @@
               "slug": "function-prototype",
               "prefix": "10",
               "path": "topics/paradigms/03-proto/04-ejercicios/10-function-prototype",
-              "createdAt": "2023-07-31T18:26:39.344Z",
+              "createdAt": "2023-08-10T20:09:30.621Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -612,7 +612,7 @@
               "slug": "hof",
               "prefix": "01",
               "path": "topics/paradigms/06-composition/05-exercises/01-hof",
-              "createdAt": "2023-07-31T18:26:39.345Z",
+              "createdAt": "2023-08-10T20:09:30.621Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -630,7 +630,7 @@
               "slug": "map",
               "prefix": "02",
               "path": "topics/paradigms/06-composition/05-exercises/02-map",
-              "createdAt": "2023-07-31T18:26:39.344Z",
+              "createdAt": "2023-08-10T20:09:30.621Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -648,7 +648,7 @@
               "slug": "filter",
               "prefix": "03",
               "path": "topics/paradigms/06-composition/05-exercises/03-filter",
-              "createdAt": "2023-07-31T18:26:39.345Z",
+              "createdAt": "2023-08-10T20:09:30.621Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -666,7 +666,7 @@
               "slug": "reduce",
               "prefix": "04",
               "path": "topics/paradigms/06-composition/05-exercises/04-reduce",
-              "createdAt": "2023-07-31T18:26:39.345Z",
+              "createdAt": "2023-08-10T20:09:30.621Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -684,7 +684,7 @@
               "slug": "arrow-functions",
               "prefix": "05",
               "path": "topics/paradigms/06-composition/05-exercises/05-arrow-functions",
-              "createdAt": "2023-07-31T18:26:39.347Z",
+              "createdAt": "2023-08-10T20:09:30.621Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -702,7 +702,7 @@
               "slug": "closures",
               "prefix": "06",
               "path": "topics/paradigms/06-composition/05-exercises/06-closures",
-              "createdAt": "2023-07-31T18:26:39.347Z",
+              "createdAt": "2023-08-10T20:09:30.621Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -720,7 +720,7 @@
               "slug": "factories",
               "prefix": "07",
               "path": "topics/paradigms/06-composition/05-exercises/07-factories",
-              "createdAt": "2023-07-31T18:26:39.348Z",
+              "createdAt": "2023-08-10T20:09:30.621Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -738,7 +738,7 @@
               "slug": "object-assign",
               "prefix": "08",
               "path": "topics/paradigms/06-composition/05-exercises/08-object-assign",
-              "createdAt": "2023-07-31T18:26:39.348Z",
+              "createdAt": "2023-08-10T20:09:30.621Z",
               "env": "cjs",
               "intl": {
                 "es": {
@@ -756,7 +756,7 @@
               "slug": "composition",
               "prefix": "09",
               "path": "topics/paradigms/06-composition/05-exercises/09-composition",
-              "createdAt": "2023-07-31T18:26:39.348Z",
+              "createdAt": "2023-08-10T20:09:30.621Z",
               "env": "cjs",
               "intl": {
                 "es": {
diff --git a/dist/topics/prototyping.json b/dist/topics/prototyping.json
index 8d474d970..218c764bc 100644
--- a/dist/topics/prototyping.json
+++ b/dist/topics/prototyping.json
@@ -2,9 +2,9 @@
   "slug": "prototyping",
   "repo": "Laboratoria/bootcamp",
   "path": "topics/prototyping",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:44.071Z",
+  "createdAt": "2023-08-10T20:09:30.418Z",
   "track": "ux",
   "intl": {
     "es": {
diff --git a/dist/topics/scm.json b/dist/topics/scm.json
index e2ee1ff41..831a97e30 100644
--- a/dist/topics/scm.json
+++ b/dist/topics/scm.json
@@ -2,9 +2,9 @@
   "slug": "scm",
   "repo": "Laboratoria/bootcamp",
   "path": "topics/scm",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:44.413Z",
+  "createdAt": "2023-08-10T20:09:30.473Z",
   "track": "web-dev",
   "intl": {
     "es": {
diff --git a/dist/topics/shell.json b/dist/topics/shell.json
index 9c77febc8..6fd261bcd 100644
--- a/dist/topics/shell.json
+++ b/dist/topics/shell.json
@@ -2,9 +2,9 @@
   "slug": "shell",
   "repo": "Laboratoria/bootcamp",
   "path": "topics/shell",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:44.274Z",
+  "createdAt": "2023-08-10T20:09:30.413Z",
   "track": "web-dev",
   "intl": {
     "es": {
diff --git a/dist/topics/ux-research.json b/dist/topics/ux-research.json
index 78b3dad1d..5f10b9e55 100644
--- a/dist/topics/ux-research.json
+++ b/dist/topics/ux-research.json
@@ -2,9 +2,9 @@
   "slug": "ux-research",
   "repo": "Laboratoria/bootcamp",
   "path": "topics/ux-research",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "parserVersion": "5.0.0-beta.0",
-  "createdAt": "2023-07-31T18:26:45.961Z",
+  "createdAt": "2023-08-10T20:09:31.525Z",
   "track": "ux",
   "intl": {
     "es": {
diff --git a/package-lock.json b/package-lock.json
index c8eaaf6bd..b0e570748 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -1,12 +1,12 @@
 {
   "name": "bootcamp",
-  "version": "6.5.0",
+  "version": "6.6.0",
   "lockfileVersion": 2,
   "requires": true,
   "packages": {
     "": {
       "name": "bootcamp",
-      "version": "6.5.0",
+      "version": "6.6.0",
       "license": "CC-BY-SA-4.0",
       "dependencies": {
         "@emotion/react": "^11.11.1",
diff --git a/package.json b/package.json
index 3f1bbb6f2..4075b311a 100644
--- a/package.json
+++ b/package.json
@@ -1,6 +1,6 @@
 {
   "name": "bootcamp",
-  "version": "6.5.1",
+  "version": "6.6.0",
   "description": "Proyectos y tópicos del Bootcamp de @Laboratoria",
   "repository": "Laboratoria/bootcamp",
   "keywords": [