Agent skill · Data & Analytics

video-analytics-interpreter

Interpret YouTube Analytics, TikTok Analytics, and video performance data. Identifies trends, explains metrics, and provides actionable recommendations for growth. Use when analyzing video performance, understanding metrics, or optimizing channel strategy.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill video-analytics-interpreter-nicepkg-ai-workflow --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 9 KB
Bundled scripts: none
Path: skills/analysis/video-analytics-interpreter-nicepkg-ai-workflow/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Video Analytics Interpreter Transform raw video metrics into actionable growth strategies. ## Key Metrics Explained ### YouTube Analytics ``` 📊 CORE METRICS: VIEWS - What: Total video plays (30+ seconds or full if shorter) - Good: Trending upward week-over-week - Warning: Sudden drops may indicate algorithm changes WATCH TIME - What: Total minutes watched - Why it matters: #1 factor for YouTube algorithm - Good: Higher than channel average AVERAGE VIEW DURATION (AVD) - What: Average time viewers watch - Benchmark: 50%+ of video length is good - Tip: Longer videos = lower % is acceptable CLICK-THROUGH RATE (CTR) - What: Impressions → Clicks percentage - Good: 4-10% (varies by content type) - Excellent: 10%+ - Warning: <2% needs thumbnail/title work IMPRESSIONS - What: Times thumbnail shown to users - Note: Higher impressions = YouTube promoting you - Tip: CTR × Impressions = Views potential AUDIENCE RETENTION - What: Graph showing when viewers leave - Key: Look for drop-off points - Goal: Flat line is ideal, gradual decline acceptable ENGAGEMENT RATE - What: (Likes + Comments) / Views - Good: 4-8% - Excellent: 8%+ ``` ### TikTok Analytics ``` 📊 TIKTOK METRICS: VIDEO VIEWS - Incl

What's inside
Steps it walks through
  1. Key Metrics Explained
  2. YouTube Analytics
  3. TikTok Analytics
  4. Analytics Interpretation Framework
  5. Step 1: Identify the Pattern
  6. Step 2: Diagnose the Problem
  7. Step 3: Read the Retention Graph
  8. Analytics Report Template
  9. How to Use
  10. Full Analytics Review
  11. Quick Diagnosis
  12. Trend Analysis
  13. Channel Health Check
  14. Benchmarks by Content Type
Ships with 1 file
  • metadata.json
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About this skill
What does the video-analytics-interpreter skill do?

Interpret YouTube Analytics, TikTok Analytics, and video performance data. Identifies trends, explains metrics, and provides actionable recommendations for growth. Use when analyzing video performance, understanding metrics, or optimizing channel strategy.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill video-analytics-interpreter-nicepkg-ai-workflow --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going