This repo turns recordings of weekly Discord office hours into structured Q&A write-ups, using VS Code GitHub Copilot and custom skills. The user-facing instructions are below, and the agent-facing instructions are in AGENTS.md.

📺 See a video recording of this repo in action

1. Add a new folder under office-hours/ for each week's office hours, named with the date in YYYY_MM_DD format. Add raw.md with raw resources: typically that's the YouTube recording links, Discord pasted chat logs, and weekly slide content.

2. Ask GitHub Copilot to generate the structured Q&A write-up using /generate-writeup prompt or the following instruction:

   Generate a markdown write-up of the weekly Python + AI office hours held on DATE.
   

3. Review the generated questions_answers.md for accuracy and formatting.

4. Ask GitHub Copilot to post each Q&A as a comment to the GitHub Discussion thread using /post-comments prompt or the following instruction:

   Post each Q&A from the write-up as a comment to the GitHub Discussion thread,
   and create a markdown list of the comment URLs in `comments.md`.
   Comment URLs should be relative, not absolute.
   

   That will use the GitHub CLI, authenticated as you, to post each question and answer as a separate comment in the discussion thread.

5. Ask GitHub Copilot to generate a YouTube-friendly description using generate-youtube-description prompt or the following instruction:

   Generate a YouTube description for the weekly Python + AI office hours held on DATE, based off the Q&A write-up.
   

   That will generate youtube_description.md with timestamps and links, and you can copy-paste that into the YouTube video description.

6. Ask GitHub Copilot to generate a LinkedIn post using generate-linkedin-post prompt or the following instruction:

   Write a LinkedIn post summarizing this week's topics.
   

   LinkedIn doesn't support markdown, so the post will use Unicode bold characters for emphasis. Copy-paste the output directly into LinkedIn.

You should end up with a structure like this:

office-hours/
  YYYY_MM_DD/
    raw.md                 # Raw resources: YouTube links, chat logs, slides
    questions_answers.md   # Q&A write-up with timestamps
    youtube_description.md # Description for YouTube video
    comments.md            # Relative URLs of GitHub Discussion comments
    transcript.md          # Full transcript of the office hours
    linkedin_post.md       # LinkedIn post summary

• Weekly office hours recordings & Q&A
• Weekly live office hours