youtube-seo-optimizer
Skill5 starsChanged 17 days agoMITView on GitHub
Optimizes YouTube videos and channels for search and click-through, covering keyword research, titles, descriptions with chapters, tags, thumbnail concepts, end screens, playlists, channel page audits, and analytics reviews. Use when the user asks for YouTube titles, thumbnail ideas, tags, chapters, the video description box, better CTR or search ranking, or a YouTube channel audit.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- Insightful-Pipe/social-media-skillstheir own version, first seen Nov 1, 2026
- Tom-Babb/ai-marketing-skills-with-by-tom-babbtheir own version, first seen Jul 12, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- Tom-Babb/ai-marketing-skills-with-by-tom-babb★ 30same name
- Insightful-Pipe/social-media-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 repository56 other files it gives its agents.
- docs/llms.txtllms.txt
- a11y-fixerSkill
- ad-copy-generatorSkill
- agent-guardrailsSkill
- agent-memory-keeperSkill
- ai-slop-detectorSkill
- api-to-sdkSkill
- app-store-optimizerSkill
- architecture-doctorSkill
- brand-voice-guideSkill
- bug-detectiveSkill
- changelog-from-gitSkill
- codebase-explainerSkill
- codebase-time-machineSkill
- commit-craftSkill
- competitor-spySkill
- content-repurposerSkill
- cost-cutterSkill
- demo-recorderSkill
- dependency-doctorSkill
- dockerize-anythingSkill
- durable-agent-workflowsSkill
- e2e-flow-testerSkill
- email-campaign-writerSkill
- env-secrets-guardSkill
- gh-actions-auditorSkill
- hook-generatorSkill
- incident-commanderSkill
- influencer-outreachSkill
- instagram-growth-managerSkill
- landing-page-roasterSkill
- launch-post-writerSkill
- meeting-notes-to-ticketsSkill
- merge-conflict-resolverSkill
- migration-wizardSkill
- plan-grillerSkill
- prompt-injection-scannerSkill
- pr-reviewer-proSkill
- readme-glow-upSkill
- roast-my-githubSkill
- screenshot-to-componentSkill
- seo-blog-writerSkill
- skill-creator-proSkill
- skill-finderSkill
- skills-doctorSkill
- social-analytics-reporterSkill
- social-media-calendarSkill
- social-media-managerSkill
- sql-optimizerSkill
- startup-idea-validatorSkill
- tdd-loopSkill
- terse-modeSkill
- test-gap-hunterSkill
- tiktok-viral-creatorSkill
- ui-tasteSkill
- youtube-script-writerSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
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 12
Start from the video topic and the viewer's intent: how-to, review, comparison, entertainment.
- Distinctive: line 21
Never use clickbait the video doesn't deliver on, because that destroys retention.
- Distinctive: line 57
Don't promise rankings or quote invented search volumes.
- Distinctive: line 58
Never use misleading metadata or keyword stuffing, which violate YouTube's spam policies.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
YouTube SEO Optimizer
Get more people to find the video (search and suggested) and click on it (CTR).
1. Keyword research
- Start from the video topic and the viewer's intent: how-to, review, comparison, entertainment.
- Mine real queries from YouTube autocomplete ("topic a…", "how to topic…"), the "People also search" box and the titles of top-ranking videos. Ask the user to paste these, or fetch them with a browser or search tool if one is available.
- Choose one primary keyword plus 2–4 secondary ones. Prefer specific long-tail phrases for small channels.
2. Title (5 options)
- 60 characters or fewer so nothing gets cut off, with the primary keyword near the start where it sounds natural.
- Combine a keyword with a curiosity or benefit angle: numbers, a timeframe, a result, a contrast ("I Tried X for 30 Days (Honest Results)").
- The title and thumbnail should complement each other, not repeat the same words.
- Never use clickbait the video doesn't deliver on, because that destroys retention.
3. Thumbnail concepts (3 options)
For each: the main subject (a face with clear emotion, or the object), 3–4 words of text at most, a high-contrast color scheme and one focal point. It must be readable at mobile size. Describe the composition precisely enough for a designer or an image tool, and suggest an A/B test with YouTube's "Test & Compare" feature.
4. Description
Line 1–2: hook + primary keyword (shows in search)
Link/CTA (lead magnet, product) — above the fold
150–300 words: what viewers learn, naturally using secondary keywords
CHAPTERS:
0:00 Intro
0:45 ...
Resources / links mentioned · Related videos/playlist · Social links
#hashtag1 #hashtag2 #hashtag3 (max 3, shown above title)Chapters must start at 0:00, list at least 3 timestamps, and each chapter must be at least 10 seconds long. Build them from the transcript if one is provided.
5. Tags, end screen, playlists
5–10 tags (tags matter little, but they help with misspellings), plus end-screen and card suggestions pointing to the best related video and playlist placement for binge sessions.
6. Channel audit
Banner value proposition, channel trailer, sections layout, about/keywords, upload consistency, playlist structure and content-gap ideas based on what's working for competitors.
7. Analytics review (from data the user provides)
Impressions, CTR (benchmark against the channel's own average), average view duration, the audience retention graph (look for dips and spikes), traffic sources, and returning vs new viewers.
Diagnose: low CTR means the title or thumbnail needs work, and low retention means the hook or pacing does (pass it to youtube-script-writer). Then recommend the next 3 videos to make.
Rules
- Don't promise rankings or quote invented search volumes. Label estimates clearly.
- Never use misleading metadata or keyword stuffing, which violate YouTube's spam policies.
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.

