Nate B Jones Digest
Monitor Nate B Jones's YouTube channel, pull each new video transcript (YouTube captions or auto-transcribed audio), summarize it with an abstract + bullet h...
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SKILL.md
Overview
Use this skill whenever you need to keep Richard (or any configured subscriber) up to date on new Nate B Jones videos. The workflow:
- Detect a new upload on https://www.youtube.com/@NateBJones.
- Retrieve the transcript (official captions first, Whisper fallback if missing).
- Summarize the video into an abstract, bullet highlights, and a "References & Links" list.
- Publish according to the installation's config: email, Control UI/Telegram chat, Google Doc, Markdown file, etc.
All runtime options live in references/config-example.yml. Copy that file, rename it (e.g. config.yml), fill in your preferences, and point the workflow to it.
1. Configure
- Copy
references/config-example.ymltoconfig.yml(or any path you prefer). - Fill in:
channel_urlorchannel_id(the example already targets @NateBJones).poll_cron(default daily at 09:00 local).outputs.email.to,outputs.chat.targets,outputs.doc.type/path.- API credentials: YouTube Data API key (for upload polling), Gmail/Google Docs auth handled via
gogskill.
- Store the config path somewhere easy to reference (e.g.
skills/nate-b-jones-digest/config.yml).
2. Poll for new videos
- Preferred: use the YouTube Data API
playlistItemsendpoint for the channel's uploads playlist. Example:curl "https://www.googleapis.com/youtube/v3/playlistItems?part=snippet,contentDetails&maxResults=5&playlistId=UPLOADS_PLAYLIST_ID&key=$YOUTUBE_API_KEY" - Lightweight alternative: use
yt-dlpto check the latest upload ID without downloading video:yt-dlp --flat-playlist --dump-json "https://www.youtube.com/@NateBJones/videos" | head -n 1 > latest.json jq -r '.id' latest.json - Compare the discovered video ID with the last processed ID stored in your run logs (e.g., a simple
last_video.txtor a Notion/Sheets tracker). Only proceed if it's new.
3. Fetch transcripts
- Try official captions via
youtube_transcript_api:from youtube_transcript_api import YouTubeTranscriptApi transcript = YouTubeTranscriptApi.get_transcript(video_id, languages=['en']) text = '\n'.join([chunk['text'] for chunk in transcript]) - If captions are unavailable, download audio and run Whisper:
yt-dlp -f 140 -o audio.m4a "https://www.youtube.com/watch?v=$VIDEO_ID" whisper audio.m4a --model medium --language en --task transcribe --output_format txt - Save the raw transcript alongside metadata (title, URL, publish date, duration). Keep it in your logs for traceability but do not distribute it by default.
4. Summarize
Produce:
- Abstract (2–3 sentences) summarizing the thesis of the video.
- Highlights – 4–6 bullets (verb-led). Mention timestamps where possible (e.g.,
[05:42] Key insight). - References & Links – always include the YouTube URL and any external resources the video mentions.
Template:
# Nate B Jones Daily Digest — {{DATE}}
**Video:** {{TITLE}} ({{DURATION}}) → {{URL}}
**Abstract:** ...
## Highlights
- ...
## References & Links
- {{URL}}
- ...
5. Publish per config
Email (uses gog skill)
Do not attach the transcript unless someone explicitly asks for it—email only the digest body linked above.
GOG_KEYRING_PASSWORD=... gog gmail send \
--to "{{config.outputs.email.to}}" \
--subject "Nate B Jones Digest — {{DATE}}" \
--body-file summary.txt \
--body-html summary.html
Chat
- Control UI / Telegram: paste the summary or use the relevant messaging command (e.g.,
message action=send ...). - Respect
config.outputs.chat.targets(list of surfaces).
Document archive
- Google Docs:
gog docs create "Nate B Jones Digest {{DATE}}" --body summary.md gog docs share <docId> --email {{config.outputs.doc.share_with}} - Markdown on disk: write to the specified path in
outputs.doc.path.
6. Automate (optional)
- Create a cron job or OpenClaw cron entry using
poll_cronfrom config. Each run should:- Poll for new video.
- If found, fetch transcript, summarize, publish, log the video ID.
- Keep lightweight audit logs (CSV or JSON) so you can prove what was sent and avoid duplicate emails.
References
references/config-example.yml— copy/edit this to match each installation.youtube_transcript_apidocs: https://pypi.org/project/youtube-transcript-api/- Whisper CLI: https://github.com/openai/whisper
Stick to the playbook format every time so downstream consumers get consistent digests, and always fall back to Whisper if captions are missing.
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