YouTube Content

SkillSearch

Plans, scripts, packages (title + thumbnail) and optimizes YouTube videos by combining two complementary methodologies — Escola Para Youtubers (Caique Pereira — packaging-first, algorithm, CTR) and Camilo Coutinho (~20-year veteran — search/Google SEO, sustainable production system, decision-making

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the YouTube Content skill

What this skill tells your AI

The instructions your AI receives, as published by pedronauck/skills in skills/mine/yt-master/SKILL.md and read by ahel’s review.

Create or improve the requested idea, title, thumbnail concept, script, channel strategy, or performance diagnosis. Reuse established audience and packaging decisions. For a new video, align the title/thumbnail promise with the script early; an existing script request does not require a separate packaging approval gate.

Reference router

  • Idea/angle: references/piramide-e-ideia.md; optional full-video brief: assets/briefing-video.template.md.
  • Titles: references/titulos.md; thumbnail concepts: references/thumbnails.md.
  • Script/hooks/retention: references/roteiro-e-retencao.md.
  • CTR/distribution/search: references/algoritmo-e-ctr.md; Studio prompts only when useful: assets/prompts-pergunte-ao-studio.md.
  • Monetization/production/community: references/monetizacao-e-crescimento.md; channel naming/migration: references/decisoes-de-canal.md.
  • Publication review: references/checklist-publicacao.md, limited to the actual video and format.

Working principles

  • Make an honest, specific promise the content delivers. Titles and thumbnails should complement each other; techniques and formulas are options, not a quota or required clickbait device.
  • Produce the requested number of alternatives. Hooks need to orient and engage viewers, but need no fixed duration, two-function formula, or named technique in every script.
  • Diagnose the affected metric using comparable audience, format, traffic source, and observation window. Channel baselines help; a low impression count or a CTR difference alone does not establish thumbnail quality or statistical significance.
  • Set production cadence from capacity and audience response. No mandatory 52-video calendar, 40/40/20 mix, daily engagement timer, or A/B experiment for every artifact.
  • Treat corpus benchmarks and platform features as dated examples. Verify current official guidance when using monetization thresholds, platform policies, or changing features; do not present anecdotal results as guarantees.
  • Deliver the requested content or recommendation. Pixel generation, editing footage, and uploads use their own tools and the user's authorized scope.

Read-only helpers, resolved from this skill's directory: python3 <yt-master-dir>/scripts/title-check.py "<title>" gives advisory pattern signals; python3 <yt-master-dir>/scripts/ctr-baseline.py --impressoes <n> --cliques <n> --baseline <percent> calculates CTR and its difference from a supplied baseline. Neither score predicts performance.

Signals

GitHub stars
611
Forks
88
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
yt-master
Source
github.com/pedronauck/skills