yt-chapters
Skill1 starsChanged 37 days agoMITView on GitHub
Draft YouTube chapters from a timestamped transcript and check basic timestamp constraints before the creator uses them. Use for "add chapters", "timestamps", "break this video into sections".
6 other projects use a version of this, 4 of them edited.
Adopted by
Most recently taken up by
- 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
- nessalazne/youtube-agent-skilledited, first seen Sep 23, 2026
- Jakeschincariol/youtube-agent-skilledited, first seen Sep 16, 2026
- tylerprogramming/claude-skillstheir own version, first seen Aug 9, 2026
Other versions6 projects use a version of this.
Word for word · 0
None found.
Edited · 4
- Jakeschincariol/youtube-agent-skill★ 4750% same
- nessalazne/youtube-agent-skill★ 541% same
- uplika/uplika-plugin★ 312% same
- swayamdhawan/youtube-agent★ 050% 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 repository25 other files it gives its agents.
- openai/AGENTS.mdAGENTS.md
- llms.txtllms.txt
- yt-analyticsSkill
- yt-auditSkill
- yt-briefSkill
- yt-collabSkill
- yt-commentSkill
- yt-editSkill
- yt-endscreenSkill
- yt-funnelSkill
- yt-ideaSkill
- yt-packageSkill
- yt-planSkill
- yt-repurposeSkill
- yt-retentionSkill
- yt-scriptSkill
- yt-seoSkill
- yt-seriesSkill
- yt-shortsSkill
- ytSkill
- yt-sponsorSkill
- yt-thumbnailSkill
- yt-trendSkill
- yt-viralSkill
- yt-voiceSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 11
Read the shared operating guide for profile lookup, helper paths, capability limits, and cross-skill routing before using this workflow.
“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
yt-chapters
Read the shared operating guide for profile lookup, helper paths, capability limits, and cross-skill routing before using this workflow.
python3 "$YT_SKILL_DIR/chapters.py" transcript.srt --target 8Basic chapter checks
The helper checks these common YouTube chapter constraints. Verify current platform guidance and video eligibility when troubleshooting display; passing these checks alone does not guarantee chapters will render:
- The first entry must be 00:00.
- There must be at least three.
- Each must be at least 10 seconds long.
The tool checks these constraints. Verify the final chapter against the actual video end too.
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.
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.

