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Video SEO Optimiser

YouTube SEO is two problems pretending to be one — rank in search, *and* get clicked when you appear. Most creators solve one and lose the other. The Video SEO Optimiser produces title, description, tags, and chapters that handle both.

What this skill does

YouTube SEO is a dual-optimisation problem. Most creators do one half and assume the other will follow — either keyword-stuffing every field and getting indexed but never clicked, or writing punchy titles that nobody can find. This skill works both sides. Primary keyword goes in the title front-half and the first sentence of the description; clickability gets a differentiator like year, scope, or level; a parenthetical curiosity hook earns the click when the keyword has done the search work.

Titles get generated in three flavours — search-optimised, curiosity-optimised, and a hybrid recommendation — all under 60 characters because mobile truncates the rest. Descriptions are structured by zone: zone 1 above the fold (the only part most viewers see), zone 2 chapter timestamps with keyword-rich titles that rank independently in search, zone 3 the 150-300 word natural-language body where secondary and LSI keywords sit without stuffing, and zone 4 the links, hashtags, and related-video pointers that keep viewers in your content. Tags follow a tiered order — exact primary first, secondary, broad topic, brand — capped at 15-20 tags and 500 characters.

Chapter markers serve three jobs at once. They rank independently in search. They cut bounce because viewers can skip to the relevant bit. And Google shows them in search results, raising CTR. The skill enforces the rules — minimum three chapters, maximum ten, each at least ten seconds, first chapter must start at 0:00, titles specific and keyword-aware.

Where this earns its keep is the diagnostic work on existing libraries. High impressions + low CTR is a title or thumbnail problem; high CTR + low impressions is an SEO problem; good retention + low overall views is a distribution problem needing better metadata. Updating ten existing videos often outperforms publishing ten new ones, and the skill produces a priority list when the user has a back catalogue. It also matches keyword difficulty to channel authority — a 2,000-sub channel shouldn't fight for "how to lose weight" when there's a long-tail variant they can actually win. The output ends with a search-positioning note that names the differentiation angle and the expected competition level honestly.

When this triggers

  • ·You're publishing a video and the title, description, and tags are still placeholder
  • ·Your video has high impressions but low CTR — the title or thumbnail needs surgery
  • ·Your video has high CTR but low impressions — the SEO and keywords need work
  • ·You have a back catalogue of videos and want a priority list for metadata fixes
  • ·You're publishing across markets and need to handle bilingual title decisions sensibly

Example

Trigger

User: 'Video on editing YouTube videos on iPhone using free tools. 8 mins long. Audience: beginner creators.'

Output

Primary keyword: edit YouTube videos on iPhone Differentiator: free tools + beginners TITLES 1. Search: "How to Edit YouTube Videos on iPhone for Free (2026)" 2. Curiosity: "I Edit My YouTube Videos on Just an iPhone — Here's How" 3. Hybrid (recommended): "Edit YouTube Videos on iPhone — Free Tools, No Mac (2026)" DESCRIPTION [Zone 1, 3 lines, primary keyword in first sentence, "Jump to the workflow: 2:14"] [Zone 2, 6 chapter timestamps with keyword-rich titles] [Zone 3, 180 words natural context + 4 hashtags] [Zone 4, links to 2 related videos] TAGS (17 total, 380/500 chars) CHAPTERS, SEO checklist, search positioning notes.

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What you get

  • 181-line SKILL.md, ready to drop into ~/.claude/skills/
  • Tested through 3 Karpathy-loop iterations (versions v1.0.0 → v1.3.0)
  • Triggers automatically when relevant — no command to remember
  • Lifetime updates as the skill is refined further

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