skills/process-livestream/SKILL.md
Process a livestream transcript into publishable content: blog post (all languages), YouTube metadata with chapters, thumbnail, hero image, and publish. TRIGGER when: user shares a livestream transcript, mentions processing a livestream, says "process stream", references a YouTube live stream recording they want to publish, or pastes a transcript with timestamps. DO NOT TRIGGER for: pre-recorded video editing, podcast episodes without video, or general YouTube video uploads without a transcript.
npx skillsauth add razbakov/skills process-livestreamInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Turn a livestream transcript + YouTube link into a full content package: blog post, YouTube metadata with chapters, thumbnail, hero image, and publish everything.
The user provides:
The transcript tool (Jamie, etc.) may have started recording before or after the YouTube stream began. You need to find the offset.
uvx yt-dlp --dump-json --no-download "<url>" | python3 -c "import json,sys; d=json.load(sys.stdin); print('Title:', d.get('title')); print('Duration:', d.get('duration_string'))"video_timestamp - transcript_timestamp (e.g., 6:41 - 0:05 = +6:36)All chapter timestamps must have this offset applied.
Read the full transcript and extract:
Do NOT invent links or URLs that weren't explicitly mentioned. If a project was discussed but no URL was given, mention the project name without a link.
<project>/meetings/YYYY-MM-DD/
The project path depends on context (e.g., ~/Projects/learn-by-doing-academy/ for LBD streams). All assets go here.
Create two files:
youtube-metadata.md — human-readable reference with:
youtube-update.json — API payload:
{
"title": "...",
"description": "...",
"tags": ["..."],
"categoryId": "27"
}
Category IDs: 22=People & Blogs, 27=Education, 28=Science & Technology.
The first chapter must be 0:00 (either "Pre-stream" or the actual first topic if there's no dead time).
Create thumbnail.html at 1280x720px with:
Capture at 2x resolution:
"/Applications/Google Chrome.app/Contents/MacOS/Google Chrome" --headless \
--screenshot="<meeting-dir>/thumbnail.png" \
--window-size=1280,720 --force-device-scale-factor=2 \
"file://<meeting-dir>/thumbnail.html"
Show the thumbnail to the user for approval before uploading.
Use /image-from-gemini to generate the hero image. Never copy the thumbnail as the hero image — they serve different purposes (thumbnail = clickable at small size, hero = atmospheric at large size).
Save to the blog's public images directory (e.g., ~/Projects/razbakov.com/public/images/blog/<slug>/hero.png).
Dispatch Luna (or create directly) to write a blog post summarizing the livestream. The post should:
Do NOT include links that don't exist. Verify any URLs before including them.
uvx --from google-api-python-client --with google-auth-oauthlib --with google-auth-httplib2 \
python3 ~/Orgs/ikigai/.bin/youtube-update.py <VIDEO_ID> \
--meta "<meeting-dir>/youtube-update.json" \
--thumbnail "<meeting-dir>/thumbnail.png"
OAuth token cached at ~/.config/youtube/token.json.
Commit all blog files + hero image and push to trigger auto-deploy.
The livestream has a community around it. Telegram engagement happens in three phases:
Check the project's CLAUDE.md for Telegram chat/channel mappings (community chat link, personal channel).
Before the stream:
During the stream:
After the stream:
/social-post or draft manually — keep it conversational, not a press releaseRemind the user about these Telegram steps if they haven't mentioned doing them. The agent can draft the messages for the user to send.
Report what was done:
| File | Location | Purpose |
|------|----------|---------|
| youtube-metadata.md | <meeting-dir>/ | Human-readable reference |
| youtube-update.json | <meeting-dir>/ | YouTube API payload |
| thumbnail.html | <meeting-dir>/ | Thumbnail source |
| thumbnail.png | <meeting-dir>/ | Uploaded thumbnail |
| hero.png | Blog public images | Blog hero image |
| Blog posts | Blog content dir | Published articles |
/image-from-gemini.tools
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