feat: discovery work into implementing integrated skills content

[alex-sheehan-edx]

https://2u-internal.atlassian.net/browse/ENT-7324

Merge checklist:

• Any new requirements are in the right place (do not manually modify the requirements/*.txt files)
  • base.in if needed in production but edx-platform doesn't install it
  • test-master.in if edx-platform pins it, with a matching version
  • make upgrade && make requirements have been run to regenerate requirements
• make static has been run to update webpack bundling if any static content was updated
• ./manage.py makemigrations has been run
  • Checkout the Database Migration Confluence page for helpful tips on creating migrations.
  • Note: This must be run if you modified any models.
    • It may or may not make a migration depending on exactly what you modified, but it should still be run.
  • This should be run from either a venv with all the lms/edx-enterprise requirements installed or if you checked out edx-enterprise into the src directory used by lms, you can run this command through an lms shell.
    • It would be ./manage.py lms makemigrations in the shell.
• Version bumped
• Changelog record added
• Translations updated (see docs/internationalization.rst but also this isn't blocking for merge atm)

Post merge:

• Tag pushed and a new version released
  • Note: Assets will be added automatically. You just need to provide a tag (should match your version number) and title and description.
• After versioned build finishes in GitHub Actions, verify version has been pushed to PyPI
  • Each step in the release build has a condition flag that checks if the rest of the steps are done and if so will deploy to PyPi.
    (so basically once your build finishes, after maybe a minute you should see the new version in PyPi automatically (on refresh))
• PR created in edx-platform to upgrade dependencies (including edx-enterprise)
  • This must be done after the version is visible in PyPi as make upgrade in edx-platform will look for the latest version in PyPi.
  • Note: the edx-enterprise constraint in edx-platform must also be bumped to the latest version in PyPi.

[alex-sheehan-edx]

My primary concerns/questions to reviewers are:

1. where to implement channel specific support for skills
   meaning I'm thinking about where do we cut off unsupported channels in the skill exporting/transmitting process? (re https://github.com/openedx/edx-enterprise/pull/1792/files#diff-bd1856bd7ffab338eb216ef940de368327f49152f8673cc007eac15557220c78R592).
2. Is my associated_catalog_keys = models.ManyToManyField approach to the skills transmission audit table efficient enough to support the look ups in the exporter ?

[alex-sheehan-edx]

we could also deal with channel support/order of operations here