What is the difference between the summary and full report?

The quick summary provides a high-level overview of ratings and top performers, while the --full report includes detailed distribution charts, recent comments, and specific recommendations.

Can I filter reports for a specific agent?

Yes, you can use the --agent argument followed by the agent name to focus the report on a specific component's performance.

Is the feedback data private?

Yes, the skill processes feedback from your local storage. It includes built-in privacy considerations such as anonymizing personal information and only showing comments from local sessions.

How does this skill collect feedback data?

The skill itself does not collect data; feedback is captured automatically via system hooks and stored in a local SQLite database, which this skill then queries for analysis.

Feedback Insights Report

Name: Feedback Insights Report
Author: jrc1883

byjrc1883

분석 및 모니터링

Generates actionable analytics and performance metrics from user feedback data to optimize agent behavior and workflows.

소개

The pop-feedback-report skill provides developers with a comprehensive analytical overview of how Claude agents and commands are performing based on real-world user interactions. By aggregating ratings, identifying trends, and flagging low-rated items, it enables a continuous cycle of self-improvement for AI-powered development environments. Whether you need a quick summary of recent performance or a deep dive into a specific agent's effectiveness, this tool transforms raw feedback data into structured visual reports and clear recommendations for system refinement.

주요 기능

Visual rating distribution charts using clear ASCII visualizations
Comprehensive performance analytics for individual agents and commands
Flexible export options to save feedback data into JSON format for external review
Trend analysis to track performance improvements or regressions over time
0 GitHub stars
Automatic identification of low-rated items requiring developer attention

사용 사례

Identifying specific commands or workflows that users find unhelpful or confusing
Reviewing agent performance metrics after deploying updates to the AI system
Generating periodic reports on system-wide helpfulness and user satisfaction trends

소개

주요 기능

Visual rating distribution charts using clear ASCII visualizations
Comprehensive performance analytics for individual agents and commands
Flexible export options to save feedback data into JSON format for external review
Trend analysis to track performance improvements or regressions over time
0 GitHub stars
Automatic identification of low-rated items requiring developer attention

사용 사례

Identifying specific commands or workflows that users find unhelpful or confusing
Reviewing agent performance metrics after deploying updates to the AI system
Generating periodic reports on system-wide helpfulness and user satisfaction trends