yt-chapters
Skill1 starsChanged 11 days agoApache-2.0View on GitHub
Write YouTube chapters from a transcript, validated against YouTube's own rules so they actually render. Use for "add chapters", "timestamps", "break this video into sections".
8 other projects use a version of this, 6 of them edited.
Adopted by
Most recently taken up by
- gladosAagman/youtube-agent-skilledited, first seen Nov 15, 2026
- utillayer/youtube-agent-skilltheir own version, first seen Nov 8, 2026
- uplika/uplika-pluginedited, first seen Oct 25, 2026
- swayamdhawan/youtube-agentedited, first seen Oct 15, 2026
- ahmedsakri/youtube-agent-proedited, first seen Oct 15, 2026
- nessalazne/youtube-agent-skilledited, first seen Sep 23, 2026
Used with
Projects with it also use yt-audit, yt-edit and 4 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
JakeschincariolSkillyt-audit
Audit a YouTube channel end to end - packaging, consistency, the first fifteen seconds, and what to fix first. Use for "audit my channel", "why isn't my channel growing", "review my videos", or a pasted channel URL.
Also in 6 projects that use this
JakeschincariolSkillyt-edit
Turn a raw recording's transcript into an edit decision list - dead air, filler cues and retakes, with timecodes. Use for "edit this", "cut the dead space", "tighten this video", "I rambled", or any request to shorten footage from a transcript.
Also in 6 projects that use this
- +4 more from Jakeschincariol
Other versions8 projects use a version of this.
Word for word · 0
None found.
Edited · 6
- Jakeschincariol/youtube-agent-skill★ 4798% same
- nessalazne/youtube-agent-skill★ 574% same
- uplika/uplika-plugin★ 321% same
- ahmedsakri/youtube-agent-pro★ 153% same
- gladosAagman/youtube-agent-skill★ 182% same
- swayamdhawan/youtube-agent★ 098% same
Wrote their own version · 2
- utillayer/youtube-agent-skill★ 10same name
- tylerprogramming/claude-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository11 other files it gives its agents.
- youtubeSkill
- tiktok-studioSkill
- yt-analyticsSkill
- yt-briefSkill
- yt-commentSkill
- yt-ideationSkill
- yt-outlineSkill
- yt-packagingSkill
- yt-researchSkill
- yt-studioSkill
- yt-title-lintSkill
The file
Files
yt-chapters
python3 "${CLAUDE_SKILL_DIR}/chapters.py" transcript.srt --target 8The rules, which are not optional
A chapter list that breaks any of these silently does not become chapters at all - the block just sits in the description doing nothing:
- The first entry must be 00:00.
- There must be at least three.
- Each must be at least 10 seconds long.
The tool checks all three and tells you when a list is invalid rather than letting you paste it.
Retitle every line
chapters.py finds the BOUNDARIES well - it scores the pauses you actually took by how much the
vocabulary shifts across them. The titles it emits are the topic words, and they are a draft. A
chapter called "Thumbnails Titles Packaging" is a placeholder. Rewrite each one as the promise of
that section, in the user's voice, three to five words.
Chapters are also a retention diagnostic: if a section cannot be named in five words, it is two sections or it is filler.
The gate
Nothing here publishes. This skill writes and you publish. Every output ends in a block the user copies, and the last line of every run is the question: ship it, or change it?
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

