Analytics Learning
Process YouTube analytics to extract actionable insights
npx skills add majiayu000/claude-skill-registry --skill analytics-learning-randysalars-dreamweaving --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Analytics Learning Skill > **Data-Driven Improvement** This skill processes YouTube Studio analytics to understand what works and improve future sessions. --- ## Purpose Extract actionable insights from performance data and update the knowledge base. --- ## Command ```bash /learn-analytics session-name ``` --- ## Input Data User provides from YouTube Studio: | Metric | Description | |--------|-------------| | Views | Total view count | | Watch Time | Total hours watched | | Average View Duration | Mean watch time | | Retention % | % of video watched | | Likes / Dislikes | Engagement signals | | Comments | Comment count | | Shares | Social shares | | Subscribers Gained | New subscriptions | | Impressions | How often shown | | CTR | Click-through rate | --- ## Analysis Process ### 1. Benchmark Comparison Compare session metrics to portfolio averages: | Metric | This Session | Average | Verdict | |--------|--------------|---------|---------| | Retention | 48% | 42% | Above average | | Like Ratio | 6.2% | 5.8% | Slightly above | | Comments | 24 | 18 | Above average | ### 2. Pattern Identification Correlate session attributes with performance: | Attribute | Correlation | |-----------|
- Purpose
- Command
- Input Data
- Analysis Process
- 1. Benchmark Comparison
- 2. Pattern Identification
- 3. Insight Extraction
- 4. Knowledge Update
- Retention Analysis
- Retention Curve Patterns
- Target Retention by Section
- Engagement Analysis
- Like Ratio Interpretation
- Comment Analysis Signals
What does the Analytics Learning skill do?
Process YouTube analytics to extract actionable insights
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill analytics-learning-randysalars-dreamweaving --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.