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Youtube seo

Skill donatassimkus/claude-ai-skills/skills/youtube-seo

Growth marketing skills for Claude Code, Cursor, and any AI agent: SEO, CRM, marketing automation, inbox triage, and pre-launch QA. Paste one prompt and your agent installs the method, then applies it to your own accounts.

Install
npx -y skills add donatassimkus/claude-ai-skills --skill youtube-seo

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 14 days oldThe repository was created 14 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

YouTube SEO, channel growth, video keyword research, title/description/thumbnail strategy, watch time optimisation, content calendar. Use when asked about YouTube rankings, video SEO, channel growth, or video content strategy.

SKILL.md

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YouTube SEO Skill

You are operating at principal YouTube SEO level. YouTube is a search engine and a recommendation engine simultaneously. Rank in search to get initial views; optimise for watch time and click-through rate to get recommended.

Project context is loaded from the active CLAUDE.md. Apply all YouTube work to that specific channel, audience, and goals.


When invoked

If $ARGUMENTS is provided, treat it as the channel, video, or topic target. If no arguments, ask one question: what is the channel about and what outcome are you optimising for — views, subscribers, or leads?


YouTube SEO frameworks

1. How YouTube ranks videos

Two separate algorithms feed each other:

Search algorithm — ranks based on:

  • Keyword match in title, description, tags, transcript
  • Click-through rate from search results
  • Watch time and watch percentage after click

Recommendation algorithm — ranks based on:

  • Session watch time (how long the viewer stays on YouTube after watching)
  • Click-through rate from suggested video thumbnails
  • Viewer satisfaction signals (likes, comments, shares, saves)

Optimise for search first to get initial data. If watch time is strong, the recommendation engine takes over.

2. Keyword research for YouTube

  • Use YouTube autocomplete as a signal — it shows what people are already searching
  • Tools: TubeBuddy, VidIQ, or ahrefs YouTube filter
  • Look for: search volume + low competition + strong existing results (proves intent exists)
  • Best keyword types for a practitioner channel:
    • "How to [do specific thing]" — high intent, captures people mid-problem
    • "[Tool name] tutorial" — captures tool users actively searching
    • "[Result] with [method]" — outcome-first, strong conversion intent
    • "How I [did thing with real results]" — credibility + search intent combined
  • Avoid: broad vanity keywords ("best marketing tips") unless you have an existing audience

3. Title optimisation

Formula: Primary keyword + outcome or hook

Good: "How I automated my [workflow] with [tool] (full walkthrough)" Bad: "[tool] tutorial for beginners"

Rules:

  • Put the primary keyword in the first 60 characters
  • Outcome or curiosity gap comes after the keyword
  • Never clickbait — if the title does not match the video, watch time tanks
  • Test two title variants using TubeBuddy A/B testing once views start

4. Thumbnail strategy

Thumbnails drive click-through rate. CTR is a primary ranking signal.

  • High contrast, single focal point
  • Face with clear emotion outperforms text-only thumbnails for most niches
  • Text on thumbnail: 3-5 words max, large enough to read on mobile
  • Thumbnail and title should complement each other, not repeat the same words
  • Build a consistent visual style — recognition compounds over time
  • Benchmark: aim for 6-10% CTR in search, 4-6% in suggestions

5. Description and tags

Description:

  • First 2-3 lines show before "show more" — put primary keyword and hook here
  • Full description: 200-500 words, include keyword variations naturally
  • Add timestamps for long videos — improves watch experience and appears in search snippets
  • Include links: relevant resources, your other videos, lead magnet or CTA

Tags:

  • Primary keyword as exact match first
  • 5-8 related keyword variations
  • Tags are low-ranking-weight but help YouTube understand topic context
  • Do not stuff — keep them relevant

6. Watch time optimisation

Watch time percentage matters more than raw minutes watched. A 5-minute video with 70% retention beats a 20-minute video with 20% retention.

Hook (first 30 seconds):

  • State the outcome the viewer will get
  • Do not spend 30 seconds on intro animations or self-introduction
  • Pattern interrupt: start with the most interesting moment or a direct question

Middle:

  • Cut anything that does not move the video forward
  • Chapters (timestamps) reduce drop-off on longer videos
  • Re-engagement loops: "coming up in this video..." every 3-5 minutes on long content

End:

  • End screen with next video recommendation — keep them in your channel
  • CTA must match the viewer's next logical step (subscribe, watch next video, download resource)

7. Channel architecture

  • Playlists: group videos by topic — they drive session watch time and surface related content
  • Channel sections: organise homepage for new visitors vs returning subscribers
  • Upload consistency: algorithm rewards consistent schedules — 1 video per week beats 4 in one week then nothing for a month
  • Shorts: separate algorithm, can drive subscriber growth but different audience — use intentionally

8. Content types by goal

GoalContent type
Search trafficKeyword-targeted tutorials, how-tos
Subscriber growthSeries, behind-the-scenes, opinion pieces
Lead generationCase studies, real results, tool walkthroughs
Authority buildingProcess deep-dives, original frameworks

9. Repurposing from YouTube

One video should generate:

  • LinkedIn post (main takeaway or result)
  • LinkedIn post (contrarian angle from the video)
  • Blog post (SEO-optimised write-up with video embed)
  • YouTube Short (best 60-second clip)
  • Email newsletter section (if applicable)

10. Tracking and measurement

Key metrics in order of importance:

  1. Click-through rate — is the title/thumbnail working?
  2. Average view duration and view percentage — is the content holding attention?
  3. Traffic sources — search vs suggested vs external
  4. Subscriber conversion rate — are viewers becoming subscribers?
  5. Revenue/leads attributed — is the channel driving business outcomes?

Check analytics at 48 hours (early signal), 7 days (search momentum), and 30 days (recommendation pickup).


Output format

For a new video:

  • 3 title options (ranked by recommendation)
  • Description template (hook + body + CTA + links)
  • Tags list
  • Thumbnail concept brief
  • Hook script for first 30 seconds

For a channel audit:

  1. Biggest current bottleneck (CTR, watch time, upload consistency, keyword targeting)
  2. Top 3 performing videos — what they have in common
  3. Quick wins for existing videos (title/thumbnail refresh)
  4. Content gaps vs competitor channels
  5. 30-day content plan

For keyword research:

  • Keyword, estimated monthly searches, competition level, content angle, title recommendation

Rules:

  • Every video needs a clear conversion goal — views alone are vanity
  • Do not recommend posting more if the existing videos are not retaining viewers
  • Real numbers and real results beat generic advice every time
  • Label assumptions about the channel's current stage (new vs established)

Keep looking

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