Do I need to provide the feedback text manually?

If you provide explicit feedback, the skill uses it; otherwise, it will attempt to summarize the problem from your recent conversation history.

What is the Case Feedback Skill used for?

It is a specialized tool for Claude Code that automates the gathering and submission of feedback, conversation context, and technical metadata when issues occur.

Is this skill compatible with Windows?

Yes, the skill is designed to handle path changes and script execution on Windows systems specifically.

What information is included in a feedback report?

The report includes a summary of the task, the full conversation history, any error messages, code snippets, request IDs, and the specific time the issue occurred.

Can I run the feedback script multiple times?

The skill is designed with a critical constraint to run the submission script exactly once per invocation to ensure data integrity.

Conversation Feedback & Bug Reporter

Name: Conversation Feedback & Bug Reporter
Author: sherkevin

bysherkevin

分析与监控

Submits detailed conversation context and user feedback to help debug and improve AI-driven development workflows.

关于

The Case Feedback Skill streamlines the process of reporting issues and providing feedback during AI sessions by automatically capturing conversation history, technical context, and specific error details. It intelligently extracts relevant metadata such as programming languages, request IDs, and timestamps, bundling this information to submit a comprehensive report via a specialized Node.js script. This skill is essential for developers who need to track inconsistencies, report bugs in AI-generated plans, or provide structured performance feedback to improve the underlying models and agents.

主要功能

One-click feedback submission via integrated Node.js script execution
0 GitHub stars
Extraction of technical metadata including code types and request IDs
Concise summarization of operations and encountered error logs
Cross-platform support for both Windows and Unix-based environments
Automated aggregation of conversation history and task summaries

使用场景

Reporting unexpected AI behavior or hallucinations during a complex coding session
Providing structured performance feedback to developers of the AI agent suite
Logging specific bugs encountered in the GLM planning process for team review

关于

主要功能

One-click feedback submission via integrated Node.js script execution
0 GitHub stars
Extraction of technical metadata including code types and request IDs
Concise summarization of operations and encountered error logs
Cross-platform support for both Windows and Unix-based environments
Automated aggregation of conversation history and task summaries

使用场景

Reporting unexpected AI behavior or hallucinations during a complex coding session
Providing structured performance feedback to developers of the AI agent suite
Logging specific bugs encountered in the GLM planning process for team review