yt-viral
Skill3 starsChanged 36 days agoMITView on GitHub
Find what is working in a YouTube niche, ranked by how far each video beat its channel, and name the formula. For viral videos, competitor research.
5 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
- 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 versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 5
- Jakeschincariol/youtube-agent-skill★ 4765% same
- utillayer/youtube-agent-skill★ 1014% same
- nessalazne/youtube-agent-skill★ 544% same
- ahmedsakri/youtube-agent-pro★ 138% same
- swayamdhawan/youtube-agent★ 065% same
Wrote their own version · 0
None found.
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-shortsSkill
- yt-uploadSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 14
If a call answers workspace_required, the account has more than one workspace: show the names it lists, ask which one, and pass that …
“Common” is measured: kept by at least 6 in 10 of the 3 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-viral
Raw view counts rank channel size, not ideas. This ranks each video by how far it beat its own channel, which is the only version of the question that is about the video. Use it for "what's working right now", "find viral videos in my niche", "why did this blow up", competitor research, or a swipe file.
With Uplika connected
If a call answers workspace_required, the account has more than one workspace: show the names it lists, ask which one, and pass that workspaceId on every later call in this session.
- Call
search_youtube_videoswith the niche as a viewer would type it (q),orderviewCount, aperiodthat fits ("what's working right now" means a recent one),formatif the person only makes Shorts or only long videos, and the largestmaxthe tool accepts. The same search again is cached and free; each new combination spends one of the person's daily searches, shown inquota. - Rank by
viewSubRatio: views divided by the channel's subscribers, so above 1 means the video pulled more people than the channel has. This is a different axis from this skill's original method, the multiple over the channel's own median: the ratio compares a video with the size of its channel's audience, not with the channel's other videos. Say which axis you used when you present the list. viewSubRatiois null when a channel hides its subscriber count. List those separately, never as zero and never as winners.- Name the formula for each top title: put the titles one per line in a file and run
python3 ../yt-script/scripts/hookscore.py --json titles.txt, then read eachformula(the same 21 formulas swipe.py uses, with the Korean patterns for Korean titles). Without a shell, match them by eye against../yt-script/scripts/hooks.json. - Failures:
research_tool_disabled: only a research tool still in beta answers this. Ask the person once to turn it on at theenableUrlin the error, and do not retry until they say it is on.youtube_quota_exhausted(the shared quota for today, back atresetsAt) orresearch_quota_exceeded(the person's own daily searches): when a shell is available, fall back to the method without Uplika below, collecting withyt-dlp --flat-playlist -J, and say the axis changed to the channel-median multiple. Without a shell, ask for a pasted list or wait for the reset.platform_error: YouTube did not answer; try once more a minute later. Anything else:get_helpwith the code.
Without Uplika
The original method ranks by multiple over each channel's own median. From this skill's folder:
python3 scripts/swipe.py collected.json --min 2.0You need at least four videos per channel or a median means nothing, and the tool will skip the channel and tell you it did. Collect them however the person prefers: when a shell is available, yt-dlp --flat-playlist -J against a channel's videos page is the fastest, the public page works, a manual list works.
[{"channel":"...","title":"...","views":412000,"url":"...","duration":613}]Read, do not scrape. Public listings only, never a logged-in session, never the person's own account credentials.
Reading the output
The multiple (or the ratio) is the signal. The formula line is a judgement about the TITLE, matched against the 21 formulas: it is not a claim about why the video worked, and you should say so when you present it. A Korean title is matched with newly written Korean patterns and marked Korean: heuristic, not calibrated.
What to hand back: the top five with their multiples or ratios, the formula each used, and the ONE structural thing they share. Then the harder line: which of those the person could actually make this week, in their voice, with what they have. For a full plan built from the pattern, the yt-benchmark skill goes further.
The gate
Nothing here publishes. This skill writes and the person publishes. Every output ends in a block they copy, and the last line of every run is the question: ship it, or change it?
Tools
search_youtube_videos: the niche's top videos with views, subscribers and their ratioget_help: the answer for any other 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.

