Automate AI-generated social media posts for new releases

[kellervater]

Summary

When a new release is published, a workflow should trigger an AI summarizer to generate promotional posts for KellerLab social profiles. These posts should be:

• Written to files under social/<platform>/date-of-post-release-version.md for organization
• Automatically prepared and a PR opened for codeowners to review/refine each post

Requirements

• Workflow runs on new release events
• AI summarizer creates user-friendly release posts
• Platform-specific prompt files (e.g. youtube-prompt.md, reddit-prompt.md) for guidance
• Config file specifying which platforms to post to and relevant options
• Posts for each platform are written to appropriately structured files
• After PR merge, a workflow should POST the approved post for each platform that offers a posting API

Labels and PR Checkbox for Controlling Posting Behavior

• nopost label: If this label is present, automatic posting is suppressed and the PR is auto-closed.
• PR Checkbox: Each PR includes a checkbox labeled “Suppress automatic posting”. If checked, posting is suppressed and the PR can be auto-closed, functioning the same as the nopost label.
• post:youtube, post:reddit, post:discord, post:makerworld: These are attached by default and determine which platforms get posts created and sent. The user can remove labels to suppress post creation and API sending for a specific platform.

Notes

• Codeowners should be able to review and improve posts before they go live
• Workflow should be robust to handle platforms with/without scheduling or direct API posting
• Label and PR checkbox configuration allows precise control over the social posting pipeline

Example Structure

social/
  └─ reddit/
      └─ 2025-11-25-v1.2.5.md
  └─ youtube/
      └─ 2025-11-25-v1.2.5.md

• Each platform has its own post file and prompt file

Additional Considerations

• Platform-specific workflow modules to handle nuances
• Explore future support for scheduling and analytics

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This issue would implement an end-to-end automation from release, AI post generation, codeowner review, label/checkbox-driven platform selection, and automated posting for all supported APIs.