yt-shorts
Skill3 starsChanged 35 days agoMITView on GitHub
Find the Shorts inside a long YouTube video from its transcript, write a new first line for each, and upload them. For 'cut this into shorts', clips.
7 other projects use a version of this, 5 of them edited.
Adopted by
Most recently taken up by
- utillayer/youtube-agent-skilledited, first seen Nov 8, 2026
- Rohit-Kumar-AI/youtube-creator-agenttheir own version, first seen Oct 20, 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
- Jakeschincariol/youtube-agent-skilledited, first seen Sep 16, 2026
Other versions7 projects use a version of this.
Word for word · 0
None found.
Edited · 5
- Jakeschincariol/youtube-agent-skill★ 4774% same
- utillayer/youtube-agent-skill★ 1013% same
- nessalazne/youtube-agent-skill★ 562% same
- ahmedsakri/youtube-agent-pro★ 141% same
- swayamdhawan/youtube-agent★ 074% same
Wrote their own version · 2
- Rohit-Kumar-AI/youtube-creator-agent★ 0same 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 repository50 other files it gives its agents.
- automationsSkill
- commentsSkill
- hooksSkill
- ig-auditSkill
- ig-captionSkill
- ig-carouselSkill
- ig-dmSkill
- ig-humanSkill
- ig-profileSkill
- ig-reelSkill
- ig-storySkill
- ig-viralSkill
- inboxSkill
- linkedin-comment-drafterSkill
- linkedin-content-plannerSkill
- linkedin-employee-advocacySkill
- linkedin-engager-analyticsSkill
- linkedin-hook-extractorSkill
- linkedin-humanizerSkill
- linkedin-interviewerSkill
- linkedin-post-writerSkill
- linkedin-profile-optimizerSkill
- linkedin-reply-handlerSkill
- linkedin-repurposerSkill
- linkedin-thread-monitorSkill
- naver-ai-citeSkill
- naver-draftsSkill
- naver-engageSkill
- naver-keywordsSkill
- naver-postSkill
- performance-reviewSkill
- publishSkill
- repurposeSkill
- schedule-weekSkill
- setupSkill
- threadsSkill
- troubleshootSkill
- voice-profileSkill
- yt-auditSkill
- yt-benchmarkSkill
- yt-chaptersSkill
- yt-commentSkill
- yt-editSkill
- yt-packageSkill
- yt-planSkill
- yt-retentionSkill
- yt-scriptSkill
- yt-seoSkill
- yt-uploadSkill
- yt-viralSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 0 are distinctive, and 4 are very specific to this project.
0
Common
Most of the 7 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 20
Read ~/.uplika/<workspace-slug>/voice.md if it exists, for the new first lines.
- Very specific: line 24
Read the transcript and find spans of roughly 20-55 seconds (the original pack's rule of thumb for a Short that holds.
- Very specific: line 45
Read YouTube's shorts rule in list_platforms: a vertical video inside that length goes up as a Short, and a custom thumbnail does not apply …
- Very specific: line 48
If a call answers workspace_required, show the workspaces it lists, ask which one, and pass workspaceId.
“Common” is measured: kept by at least 6 in 10 of the 7 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
Adapted from Jakeschincariol/youtube-agent-skill (MIT). Not affiliated with the original author.
yt-shorts
A Short cut out of a long video is not a clip of the best moment. It is a moment that survives without the video around it, which is a much smaller set. Use it for "cut this into shorts", "clip this", "repurpose this video", "what should I clip".
The input is the long video's transcript (srt, vtt or whisper json). When a shell is available and the video is on YouTube, this saves its automatic captions (use the video's language code):
yt-dlp --skip-download --write-auto-subs --sub-langs ko --convert-subs srt "<video link>"Before you write
Read ~/.uplika/<workspace-slug>/voice.md if it exists, for the new first lines. If it does not exist, create it with the voice-profile skill, or ask its three questions (tone, ending style, words to avoid) and use the answers for this session.
Picking
Read the transcript and find spans of roughly 20-55 seconds (the original pack's rule of thumb for a Short that holds; YouTube's own Shorts rule is in list_platforms) where all three are true:
- It opens on a complete thought. If the first sentence needs the previous minute, it is not a Short.
- There is a turn in it: a claim, then something that complicates or proves it.
- It ends on a line, not a trail-off.
Rank the candidates and show the person the top five with their timecodes and first line, so they can reject one without reading the whole transcript.
Writing each one
- A NEW first line. The long video's line assumes context this viewer does not have. Write the replacement and run it through
../yt-script/scripts/hookscore.py(a Korean line gets a rank-only score markedKorean: heuristic, not calibrated). - On-screen text for the first two seconds, different words from the spoken line.
- A loop point: what the last line sets up so the first line answers it.
- Vertical framing note: what gets cropped out of a 16:9 frame and whether that matters.
With Uplika connected
Uplika cannot cut video: the person cuts each Short in their editor as a vertical clip. Then, for each Short:
select_channelswith scopeyoutubegives the account id to post to, andskippedwith a reconnect link if the connection needs it. Nothing connected: https://uplika.com/dashboard/connections.- The file: if it has a public https address,
media_from_url; if it is on the person's computer or phone, upload it the way theyt-uploadskill does. - Read YouTube's
shortsrule inlist_platforms: a vertical video inside that length goes up as a Short, and a custom thumbnail does not apply to it. - Show the person the title (
options.youtube.title; the new first line is a good start), the description, the privacy (options.youtube.privacyStatus; left out, it goes up private), whether it is made for kids (options.youtube.madeForKids: ask, and send it only from their answer), and when it goes out. Only after they approve, callpublishwith the account id, the media id,wait: true, andscheduledAtwith a time zone offset if it should go out later. get_postgives the status, the link and any warning (for example the privacy YouTube actually applied). Read the warning out.- If a call answers
workspace_required, show the workspaces it lists, ask which one, and passworkspaceId. Errors:get_helpwith the code.
Without Uplika
The person cuts and uploads the Shorts themselves: hand them the titles, first lines, on-screen text and timecodes.
The gate
Nothing goes out until the person says yes. Every output ends in a block they can copy, and the last line of every run is the question: ship it, or change it? With Uplika connected, "ship it" means you upload the approved Shorts with publish.
Tools
select_channels: the YouTube account to post tolist_platforms: YouTube's Shorts rulemedia_from_url: attach a Short that already has a public https addresspublish: upload an approved Short, now or atscheduledAtget_post: status, link and warnings after the uploadget_help: the answer for an error code
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.

