feedback-analyzer
Analyze skill effectiveness through usage feedback, metrics analysis, and outcome assessment. Task-based operations for feedback collection, effectiveness measurement, trend analysis, and insight extraction. Use when analyzing skill effectiveness, measuring ROI, understanding usage patterns, or evaluating toolkit impact based on real usage data.
npx skills add majiayu000/claude-skill-registry --skill feedback-analyzer --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.
# Feedback Analyzer ## Overview feedback-analyzer evaluates skill effectiveness through analysis of usage data, feedback, metrics, and outcomes. **Purpose**: Data-driven understanding of what works and what doesn't **The 4 Analysis Operations**: 1. **Collect Usage Data** - Gather metrics on skill usage and effectiveness 2. **Measure Effectiveness** - Quantify impact and ROI of skills 3. **Analyze Trends** - Identify patterns in usage and effectiveness 4. **Extract Insights** - Generate actionable insights from data ## When to Use - After skills have been used (have usage data) - Measuring toolkit ROI and impact - Understanding which skills provide most value - Identifying underutilized skills - Data-driven improvement decisions ## Operations ### Operation 1: Collect Usage Data **Purpose**: Gather data on how skills are used **Data Sources**: - Build times (how long to build skills?) - Usage frequency (which skills used most?) - Effectiveness metrics (do skills achieve purposes?) - Quality scores (from reviews) - User feedback (satisfaction, issues) **Process**: 1. Identify data sources 2. Collect available metrics 3. Document usage patterns 4. Organize data for analysis **Output**:
- Overview
- When to Use
- Operations
- Operation 1: Collect Usage Data
- Operation 2: Measure Effectiveness
- Operation 3: Analyze Trends
- Operation 4: Extract Insights
- Example Analysis
- Quick Reference
What does the feedback-analyzer skill do?
Analyze skill effectiveness through usage feedback, metrics analysis, and outcome assessment. Task-based operations for feedback collection, effectiveness measurement, trend analysis, and insight extraction. Use when analyzing skill effectiveness, measuring ROI, understanding usage patterns, or evaluating toolkit impact based on real usage data.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill feedback-analyzer --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.