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UXMagicaiUXMagicai/seosorted-skills/skills/youtube-channel-audit/SKILL.md

youtube-channel-audit

Skill0 starsChanged 41 days agoMITView on GitHub

Audit the YouTube SEO of any public channel or video with SEOsorted — channel stats, upload cadence, engagement, top videos, and a per-video metadata audit (title, description, tags, chapters, captions, keyword placement) with pass rates — or review the workspace's own connected channel. Use when the user asks to audit a YouTube channel, review video SEO or metadata, benchmark a competitor channel, or check why videos don't get found.

2 other projects use a version of this.

Adopted by

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The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    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
  1. Very specific:

    Add target_keyword for keyword checks in title, description opening and tags.

    line 11

≈ “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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

YouTube channel audit

Any public channel or video

  1. analyze_any_youtube_channel with channel (URL, @handle or UC… id) and sample (5–50 recent uploads, default 30). Returns subscribers, median and average views, engagement, upload cadence, Shorts share, the five most-viewed videos, a per-video metadata audit and channel-wide pass rates. Free.
  2. Add target_keyword for keyword checks in title, description opening and tags.
  3. profile: true adds an AI read of content mix, tone and recurring topics — 1 keyword lookup; ask first.
  4. Individual videos: videos (up to 10 URLs or ids) instead of channel; with 5 or fewer, captions are read to check whether the keyword is spoken in the opening (transcripts: false skips that).
  5. Fuller stats: research_youtube operation: "channel_stats" with channel (free) — uploads in the last 30/90 days and recent videos.

Checks cover title length, description length, whether the first 150 characters restate the title, tag count, chapters on videos over 3 minutes.

The workspace's own channel

manage_my_youtube_channel operation: "analysis" (stored analysis) and "published" (videos with views, AI-answer citation counts and 30-day change). "run_analysis" refreshes it in the background (no metered credits). "update_video" only changes SEOsorted's records, never YouTube.

Output

Scorecard: stats, cadence, pass rate per check. Then the 5 highest-impact fixes with the videos they apply to, and for a competitor, what they do better.

Compare with find_youtube_videos_cited_by_ai to see which videos AI answers cite instead.

Download now (ZIP)

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What did you use it for? e.g. Reviewing pull requests in a Rails app

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.

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