colonelpanic8/dotfiles/youtube-transcript
Claude Code and agent skill by colonelpanic8/dotfiles
- community
Checking that the SKILL.md file is still in the repository.
Summarize or answer questions about a YouTube video by pulling its closed captions instead of watching it. Use when given a YouTube URL or video ID and asked what it's about, for a summary, for key points or timestamps, for a specific quote or claim, or to check whether a video covers some topic.
Install
npx vskill@latest install colonelpanic8/dotfiles/youtube-transcriptSKILL.md
YouTube video summaries from closed captions
Nearly every YouTube video ships captions — human-authored or auto-generated. Fetching them costs a couple of seconds and gives you the full content of the video as text. Do that instead of guessing from the title, and never claim you watched a video.
Get the transcript
Paths are relative to this skill's directory. The script writes a header block (title, channel, duration, upload date, caption source) plus the timestamped transcript to the file, and prints the header and a word/token count to stdout. Read the file afterward.
Send output to a file rather than stdout for anything longer than a few minutes — a one-hour talk is roughly 10k words, and you want it as one deliberate read.
Useful flags:
| Flag | Purpose | |
|---|---|---|
--interval N | Seconds per timestamped paragraph (default 60). Use 120–300 for long videos, 30 when you need precise timestamps, 0 for one unbroken block. | |
--lang CODE | Preferred caption language (default en). | |
--auto | Prefer auto-generated captions over human ones (occasionally cleaner on channels with bad fan subs). | |
--list-langs | Show available caption languages and exit. |
The script uses yt-dlp for metadata and caption-track URLs only — it never downloads video or audio. If yt-dlp is missing from PATH, prefix the command with nix shell nixpkgs#yt-dlp --command.
Then summarize
Lead with what the video actually argues or shows, not a description of its structure. A useful default shape:
- One or two sentences on what the video is and its central claim or purpose.
- Key points as a short list, each with a
[m:ss]timestamp from the transcript so
the user can jump to it.
- Anything notable — a surprising claim, a caveat the speaker gives, a conclusion
that differs from the title's implication.
Match length to the ask. "What's this about?" wants three sentences; "summarize this talk" wants the full shape above. If asked a specific question, answer it directly and quote the relevant line with its timestamp rather than summarizing the whole video.
Quote sparingly — short excerpts to support a point. Do not reproduce long stretches of the transcript verbatim, and never reproduce song lyrics; summarize instead.
Caption quality caveats
Auto-generated captions have no speaker labels, no punctuation reliability, and mistranscribe proper nouns and jargon. The header line tells you which kind you got.
- With auto captions, treat unusual names, numbers, and technical terms as suspect.
Say "the speaker refers to what the captions render as X" when it matters.
- Captions carry no visual information. If the video is a demo, chart walkthrough, or
anything where the point is on screen, the transcript will have gaps like "as you can see here" — flag that limitation rather than filling it in.
- Music, applause, and effects appear as
[Music]-style markers.
When there are no captions
The script exits with an error listing available languages, or says the video has none. Options, in order:
- Retry with
--list-langs; the content may exist under a different code, or only as
auto-generated (which the default already prefers second).
- If only a non-English track exists, fetch it with
--langand summarize in English. - If there are genuinely no captions, say so. Do not download and transcribe the audio
unless the user explicitly asks — that is a much heavier operation.
Live streams in progress, age-restricted videos, and members-only content may fail at the metadata step. Report the error rather than working around it.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingdotfiles/agents/skills/youtube-transcript/SKILL.md
Popularity
- 7-day trend score
- 0
Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
Embed badge
[](https://verified-skill.com/skills/colonelpanic8/dotfiles/youtube-transcript)