glebis

agency-docs-updater

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.

glebis 363 55 Updated 7mo ago

Resources

1
GitHub

Install

npx skillscat add glebis/claude-skills/agency-docs-updater

Install via the SkillsCat registry.

About this skill

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.

SKILL.md

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:

  1. Run ~/.claude/skills/calendar-sync/sync.sh to sync today's calendar
  2. Re-check for the file
  3. 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 = the share_url from frontmatter
  • DATE = YYYYMMDD string
  • VIDEO_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}.mp4

If 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} \
  --upload

Key notes:

  • --fathom-transcript makes it skip video transcription (uses Fathom transcript instead)
  • --upload triggers 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_ID

If not found in stdout, check the metadata JSON:

cat ~/ai_projects/youtube-uploader/processed/metadata/${VIDEO_NAME}.json

Store 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 upload

Parallelization: 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.md

The 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:

  1. 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.

  2. Copy lesson HTML to public: If ~/ai_projects/claude-code-lab/lesson-generator/${DATE}.html exists, copy it to ~/Sites/agency-docs/public/${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)
  3. Replace frontmatter placeholders:

    • [Название встречи] -> actual meeting title derived from transcript content
    • [Краткое описание встречи] -> brief description
    • [Дата встречи] -> formatted date from the transcript
  4. Verify build locally before committing:

    cd ~/Sites/agency-docs && npm run build 2>&1 | tail -5

    If 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 push

Replace 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 with cd ~/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:

  1. Fathom transcript path
  2. Downloaded video path
  3. YouTube URL
  4. Generated MDX path
  5. Git commit hash
  6. 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> --upload

Flags: --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]