skills/summarize-youtube/SKILL.md
Summarize one or more YouTube videos from their links. Use this whenever the user pastes a youtube.com or youtu.be URL (or several) and wants to know what it's about — phrasings like "summarize to telegram", "tldr these videos", "what do these say", "summary of this talk", or just dropping links with no instruction at all. Fetches each video's real transcript via yt-dlp (not the page text, which never contains the transcript), cleans the captions, and writes a per-video summary. Default delivery is Telegram; honor any other surface the user names ("to my notes", "just here in chat", "email it"). Trigger even when the user only pastes bare links — bare YouTube links almost always mean "tell me what's in these".
npx skillsauth add razbakov/skills summarize-youtubeInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Turn YouTube links into faithful, skimmable summaries.
A plain web fetch of a YouTube watch page returns nav chrome and, at best, the
title — never the transcript. The reliable source of truth is the video's
captions, pulled with yt-dlp. Auto-generated captions arrive as rolling
lines (each cue repeats the tail of the previous one), so raw SRT is ~3x
duplicated noise. The bundled script handles both problems, so you summarize
from clean prose instead of fighting caption formatting every time.
Pull every YouTube URL from the user's message. Note any delivery instruction ("to telegram", "in chat", "email me") and any focus ("just the action items", "compare them"). No instruction → default to a Telegram summary (see Delivery).
Run the bundled script with all the links at once (it dedupes captions for you):
python3 <skill>/scripts/fetch_youtube.py <url1> <url2> ... --outdir /tmp
It prints one tab-separated line per video —
id TITLE CHANNEL DURATION UPLOAD_DATE /tmp/clean_<id>.txt — and writes the
cleaned transcript to each clean_<id>.txt. A video with no captions gets an
empty path; for those, fall back to transcribing the audio (see
/transcribe-via-faster-whisper) or tell the user it has no captions.
Read each clean_<id>.txt. These are full transcripts — read the whole thing,
don't skim, so the summary is grounded in what was actually said.
Write the summary from the transcript, not from the title or your priors. Lead with the concrete claims, structure, and any conclusions the video reaches.
Per video, use this shape (scale length to the video — a 5-min clip gets a few lines, a 40-min talk gets the bullets):
<Title> — <Channel> (<duration> · <date>)
https://youtu.be/<id>
<1-2 sentence thesis: what the video is actually about / its main claim>
• <key point / argument / step>
• <key point>
• <takeaway or conclusion>
Relevance: <why this matters to *this* user — tie to their projects, role, or
known interests; say "no direct tie — <reason to watch anyway>" when there isn't one>
Two non-negotiable fields, because users ask for them every time if omitted:
https://youtu.be/<id>).
Paste it as a raw URL on its own line, not a markdown [title](url) — chat
surfaces like Telegram render raw URLs but not markdown link syntax.Grounding rules that keep summaries trustworthy:
Default — Telegram. Do not ask which surface. When the user gives no delivery instruction, send the summary to Telegram and then recap in chat — asking "should I send this to Telegram?" defeats the point, because Telegram is already the answer. Only deliver elsewhere if the user explicitly named a different surface in their request.
Send via the instance's proactive Telegram sender
(in this setup: .bin/telegram-send.py; the agent/bot mapping lives in your
private CLAUDE.md — pick the agent whose domain fits the video topic). Telegram
renders HTML only, not Markdown — use <b>, <i>, <code>, line breaks;
no # headers, no * bullets (use •), no code fences. Always write the
message body to a temp file and pass it with --file; inline multi-byte text on
the command line corrupts. Example:
python3 .bin/telegram-send.py --agent <agent> --file /tmp/yt_summary.html
Other surfaces. If the user named one, deliver there instead (a saved file, a chat reply, an email draft, a note). Match that surface's formatting.
After delivering, give the user a short in-chat recap too, so they see the result without leaving the conversation.
--lang <code> (e.g. --lang de). Summarize in
the user's language unless told otherwise./youtube-metadata-updater; for deep multi-source research off a video, use
/youtube-notebooklm-research.yt-dlp on PATH.tools
--- name: handoff description: Get an agent past a browser/UI wall it can't (or must not) cross on its own — a login-gated dashboard, a CAPTCHA, a 2FA prompt, an API that keeps rejecting the write, or an irreversible click that policy says a human must make. This skill is an ESCALATION LADDER, not a first move: it tells you to try the automated browser surfaces FIRST (Chrome-in-Claude, computer-use, an autonomous browser sub-agent) and only fall back to the Handoff app — a wrapper browser that h
data-ai
Daily Digest — Chief-of-Staff role consolidates the six top-managers into one Telegram message to the Commander, instead of six. Implements the protocol from agent-proactivity.md.
development
Seed a new or empty Instagram account with a 9-post grid (3×3) so the profile looks established the moment a new visitor lands. Designed for festivals, new businesses, product launches, conferences, communities — any time an empty IG profile would hurt conversion from external traffic (QR scans, flyer drops, cross-promo). Generates assets via /image-from-gemini (per content-publishing rules — never HTML), writes captions with hashtag sets, and outputs a posting order + cadence plan. Trigger generously: phrases like '9 posts for instagram', 'fill my IG', 'starter grid', 'launch grid', 'instagram seed', '9-post grid', 'IG account not to look empty', 'first instagram posts', 'feed bootstrap', '3x3 grid', 'instagram launch content'. Even if the user mentions only one piece (just the images, just the captions, just the order), use this skill — the grid only works as an integrated bundle.
testing
Translate one English blog post into multiple target languages via parallel sub-agents, preserving frontmatter conventions, hero image, and brand voice. Use when the user shares a published English post URL or markdown path and says 'translate it', 'add other languages', 'publish in DE/ES/RU/UK', 'translate to 5 languages', or asks for localized versions of a specific post.