End-to-end pipeline for publishing Claude Code lab meetings. Automatically finds/creates Fathom transcript, downloads video, uploads to YouTube, generates fact-checked Russian summary, creates MDX documentation, and pushes to agency-docs for Vercel deployment. Single invocation replaces 5+ manual steps.
Resources
1Install
npx skillscat add glebis/claude-skills/agency-docs-updater Install via the SkillsCat registry.
This skill automates the complete pipeline for publishing Claude Code lab meetings, handling transcript retrieval, video download, YouTube upload, Russian summary generation, MDX documentation creation, and Vercel deployment. It eliminates 5+ manual steps required to process and publish meeting recordings. Developers should use it when they need to automatically publish Code lab sessions without manual intervention across multiple platforms.
Agency Docs Updater — End-to-End Pipeline
When this skill is invoked, execute ALL steps below automatically in sequence. Do not stop to ask for confirmation between steps — run the full pipeline. Only pause if a step fails and cannot be recovered.
Step 1: Find Fathom Transcript
DATE=$(date +%Y%m%d)Look for ~/Brains/brain/${DATE}-claude-code-lab-02.md. If it exists, read it and extract share_url and fathom_id from its YAML frontmatter.
If the file does NOT exist:
- Run
~/.claude/skills/calendar-sync/sync.shto sync today's calendar - Re-check for the file
- If still missing, stop and report the issue
Store these variables for later steps:
FATHOM_FILE= full path to transcript (e.g.~/Brains/brain/20260207-claude-code-lab-02.md)SHARE_URL= theshare_urlfrom frontmatterDATE= YYYYMMDD stringVIDEO_NAME=${DATE}-claude-code-lab-02
Step 2: Download Video from Fathom
First check if ~/Brains/brain/${VIDEO_NAME}.mp4 already exists and is > 1MB. If so, skip this step.
Otherwise:
cd ~/Brains/brain && python3 ~/.claude/skills/fathom/scripts/download_video.py \
"${SHARE_URL}" --output-name "${VIDEO_NAME}"After download, verify the mp4 exists and is > 1MB:
ls -la ~/Brains/brain/${VIDEO_NAME}.mp4If download fails, stop and report. This is a long-running operation (may take several minutes for a 2h video).
Step 3: Upload to YouTube via videopublish
cd ~/ai_projects/youtube-uploader && source venv/bin/activate && \
python3 process_video.py \
--video ~/Brains/brain/${VIDEO_NAME}.mp4 \
--fathom-transcript ${FATHOM_FILE} \
--uploadKey notes:
--fathom-transcriptmakes it skip video transcription (uses Fathom transcript instead)--uploadtriggers YouTube + Yandex.Disk upload- Handles: metadata generation, thumbnail creation, YouTube upload, Yandex upload
Extract YouTube URL from stdout — look for the line:
✓ YouTube video: https://www.youtube.com/watch?v=VIDEO_IDIf not found in stdout, check the metadata JSON:
cat ~/ai_projects/youtube-uploader/processed/metadata/${VIDEO_NAME}.jsonStore YOUTUBE_URL for the next steps.
This step is long-running (10-30 minutes depending on upload speed). Run in background with run_in_background: true.
If the upload fails or stalls mid-way, resume from the upload step only (skips metadata/thumbnail regeneration):
python3 process_video.py --video ~/Brains/brain/${VIDEO_NAME}.mp4 \
--fathom-transcript ${FATHOM_FILE} --upload --resume-from uploadParallelization: Start Step 4 (summary generation) while Step 3 upload runs in background. The summary does not depend on the YouTube URL.
Step 4: Generate Fact-Checked Russian Summary
Read the full Fathom transcript from ${FATHOM_FILE}.
Generate a comprehensive Russian-language summary of the meeting with these requirements:
- Structured with
##section headers - Bullet points for key concepts
- Code examples where relevant (keep code/paths in English)
- All technical terms in English (MCP, Skills, Claude Code, YOLO, vibe coding, etc.)
- Comprehensive enough to serve as meeting notes
Then use the Task tool with claude-code-guide subagent to fact-check all Claude Code feature claims in the summary:
Launch claude-code-guide agent to fact-check this summary about Claude Code features.
Verify:
- Subagent types and their capabilities
- Tool names and parameters
- Feature availability and limitations
- Best practices mentioned
Correct any inaccuracies.After fact-checking, save the corrected summary to the scratchpad directory as summary.md.
Step 5: Run update_meeting_doc.py
python3 ~/.claude/skills/agency-docs-updater/scripts/update_meeting_doc.py \
${FATHOM_FILE} \
"${YOUTUBE_URL}" \
${SCRATCHPAD}/summary.mdThe script auto-detects:
- Lab number from filename (
claude-code-lab-XX->XX) - Target docs dir:
~/Sites/agency-docs/content/docs/claude-code-internal-XX/ - Next meeting number from existing files in
meetings/ - Presentation files from
~/ai_projects/claude-code-lab/presentations/lab-XX/ - Summary language (auto-translates to Russian if needed)
Output: MDX file at ~/Sites/agency-docs/content/docs/claude-code-internal-XX/meetings/NN.mdx
After the script runs, post-process the generated MDX:
Strip appended presentation content: The script appends Marp presentation markdown from
presentations/lab-XX/which contains HTML comments (<!-- _class: lead -->) that break MDX compilation. Remove everything after the summary section (after the last---separator following the summary). The MDX should only contain: frontmatter, video section, and summary.Copy lesson HTML to public: If
~/ai_projects/claude-code-lab/lesson-generator/${DATE}.htmlexists, copy it to~/Sites/agency-docs/public/${DATE}-claude-code-lab-XX.html(where XX is the lab number). Then add a link in the MDX video section:**Материалы:** [Презентация занятия](/${DATE}-claude-code-lab-XX.html)Replace frontmatter placeholders:
[Название встречи]-> actual meeting title derived from transcript content[Краткое описание встречи]-> brief description[Дата встречи]-> formatted date from the transcript
Verify build locally before committing:
cd ~/Sites/agency-docs && npm run build 2>&1 | tail -5If build fails, fix the MDX (common issues: HTML comments, unescaped
<or{characters) and retry.
Step 6: Commit and Push
cd ~/Sites/agency-docs && git add . && git commit -m "Add meeting NN" && git pushReplace NN with the actual meeting number from Step 5 output.
This triggers Vercel deployment automatically.
Step 7: Verify Vercel Deployment
Wait ~90 seconds after push, then check deployment status:
gh api repos/glebis/agency-docs/commits/COMMIT_HASH/status --jq '{state, total_count}'
gh api repos/glebis/agency-docs/commits/COMMIT_HASH/statuses --jq '.[0] | {state, description}'- If
state: success— deployment is live. - If
state: failure— check the build error locally withcd ~/Sites/agency-docs && npm run build 2>&1 | tail -20, fix, and re-push. - If
state: pending— wait another 60 seconds and re-check.
Pipeline Summary
After completion, report:
- Fathom transcript path
- Downloaded video path
- YouTube URL
- Generated MDX path
- Git commit hash
- Vercel deployment status (success/failure)
Error Recovery
- Step 1 fail (no transcript): Run calendar-sync, retry once. If still missing, stop.
- Step 2 fail (download): Check if share_url is valid. Report ffmpeg errors.
- Step 3 fail (upload): Check YouTube OAuth tokens, venv activation. Report specific error.
- Step 4 fail (summary): Proceed with English summary if Russian generation fails.
- Step 5 fail (MDX): Check that fathom_url exists in frontmatter. Check docs_dir exists.
- Step 6 fail (git): Report conflict details. Do not force-push.
Reference: CLI Interfaces
download_video.py
python3 download_video.py <share_url> --output-name <name_without_ext>Downloads to current directory as <name>.mp4.
process_video.py
python3 process_video.py --video <path> --fathom-transcript <path> --uploadFlags: --upload (YouTube+Yandex), --yandex-only, --skip-thumbnail, --language <code>, --title <override>.
update_meeting_doc.py
python3 update_meeting_doc.py <fathom_file> <youtube_url> <summary_file> [-n NN] [-l ru|en|auto] [--update]