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.
Installation
SKILL.md
feedback-analyzer evaluates skill effectiveness through analysis of usage data, feedback, metrics, and outcomes.
| Collect Usage Data | Gather metrics | 30-60m | Data collection | | Measure Effectiveness | Quantify impact, ROI | 45-90m | Effectiveness metrics | | Analyze Trends | Patterns over time | 45-90m | Trend analysis | | Extract Insights | Actionable insights | 30-60m | Recommendations |
feedback-analyzer provides data-driven understanding of toolkit effectiveness for evidence-based improvement decisions.
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. Source: adaptationio/skrillz.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/adaptationio/skrillz --skill feedback-analyzer- Source
- adaptationio/skrillz
- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is 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. Source: adaptationio/skrillz.
How do I install feedback-analyzer?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/adaptationio/skrillz --skill feedback-analyzer Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/adaptationio/skrillz
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01