analystacademy/claude-skills/youtube

Claude Code and agent skill by analystacademy/claude-skills

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Search YouTube intelligently for the best video on any topic. Use this skill whenever the user wants to find YouTube videos, search for tutorials, watch something, or discover content on a topic — even if they just say "find me a video about X" or "look up X on YouTube." Runs multiple searches, interprets the user's intent, and returns one clear recommendation plus a few alternatives.

Install

npx vskill@latest install analystacademy/claude-skills/youtube

SKILL.md

YouTube Search Skill

Find the single best YouTube video for what the user needs, plus 3–4 solid alternatives. No filters, no menus — just good judgment.


Workflow

Step 1 — Interpret the intent

Before searching, think about what the user actually wants:

  • Are they a beginner or do they seem technical?
  • Do they want a quick overview or a deep dive?
  • Is this a how-to, an explainer, a review, or something else?
  • What would the ideal video look like for this person?

Use this to guide your search strategy and final pick.

Step 2 — Run multiple searches

Generate 3–4 distinct search angles and run them via Zapier:youtube_find_video. Each search should approach the topic differently — vary the framing, vocabulary, and specificity. Don't just repeat the same query with minor tweaks.

Example for "what is MCP":

  • "Model Context Protocol explained" — direct explainer angle
  • "MCP AI agents tutorial beginner" — hands-on/beginner angle
  • "why MCP matters AI tools 2025" — strategic/why-it-matters angle

For each search call use:

max_results: 10
order: relevance
published_after: <12 months ago in ISO 8601>
output_hint: title, video URL, duration, published date, channel name
Step 3 — Pool and evaluate candidates

Combine all results across searches (deduplicating by video ID). For each candidate assess:

  • Relevance: Does it directly address what the user needs?
  • Quality signals: Channel credibility, title clarity, not clickbait
  • Duration fit: Does the length match the likely intent? (Quick explainer vs. deep dive)
  • Recency: More recent is generally better
  • Avoid: Shorts under 2 min, tangentially related content, duplicate channels (max 1 per channel in final output)
Step 4 — Pick the best and select alternatives

Choose the single video you'd genuinely recommend if a friend asked. Then pick 3–4 alternatives that offer something meaningfully different — different depth, angle, channel style, or length. Don't just list the next highest-ranked; make sure each alternative has a distinct reason to exist.

Step 5 — Present results

Use this format exactly:


Recommended Title · Channel · Duration One sentence on why this is the best pick for what they asked.

Also worth watching

  1. Title · Channel · Duration — one phrase on what makes this different
  2. Title · Channel · Duration — one phrase on what makes this different
  3. Title · Channel · Duration — one phrase on what makes this different
  4. Title · Channel · Duration — one phrase on what makes this different (optional)

Keep the "also worth watching" descriptions short — a phrase, not a sentence. The recommendation gets the full sentence; the alternatives just need a differentiating hook.


Tone

  • Confident. You picked one. Don't hedge with "this might be good" — say why it's the best fit.
  • Don't narrate the search process.
  • If the topic is ambiguous, interpret and go — don't ask for clarification first.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
39
Repository forks
12
7-day trend score
0

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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