case-feedback-skill

Submit user feedback and conversation context via a Node.js script.

119|17|Updated Dec 19, 2025
One-click install
npx skills add https://github.com/zai-org/zai-coding-plugins --skill case-feedback-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: case-feedback-skill
Source: https://github.com/zai-org/zai-coding-plugins/tree/main/plugins/glm-plan-bug/skills/case-feedback-skill
Command: npx skills add https://github.com/zai-org/zai-coding-plugins --skill case-feedback-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the collection and submission of user feedback and the surrounding conversation context for issue tracking, reducing back-and-forth and preserving context.

Core Features & Use Cases

  • Context-aware submission: captures feedback, the full conversation context, and optional metadata (code type, time, request ID).
  • Platform-agnostic delivery: detects the correct endpoint (ZAI or ZHIPU) from ANTHROPIC_BASE_URL and submits feedback accordingly.
  • Simple integration: minimal CLI invocation to submit feedback with optional fields.

Quick Start

Run the feedback submission script from the plugin root: node scripts/submit-feedback.mjs --feedback "your feedback" --context "conversation summary" --code_type "javascript" --happened_time "2025-12-10 11:15:00" --request_id "req-123"

Frequently Asked Questions about case-feedback-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I submit feedback with conversation context?

Submit feedback with conversation context by running the case feedback script with your feedback text, conversation summary, and optional metadata like code type and timestamp. The script captures the full context and submits it to the appropriate endpoint, preserving all details for issue tracking.

Can I include code samples and metadata when submitting feedback?

Yes, the feedback submission supports optional code_type, happened_time, and request_id parameters alongside your feedback and context. This metadata helps track issues and reconstruct the exact state when feedback was submitted.

How does the feedback script detect which endpoint to use?

The script detects the correct endpoint—ZAI or ZHIPU—automatically by reading your ANTHROPIC_BASE_URL environment variable, eliminating manual configuration and routing feedback to the right platform.

What information should I include in case feedback for best results?

Include your specific feedback, a summary of the conversation context, the code type if applicable, when the issue occurred, and any request ID. Complete context reduces back-and-forth and helps teams understand and resolve issues faster.

When should I use the case feedback submission instead of manual reporting?

Use case feedback submission when you need to capture the full conversation context automatically with minimal CLI invocation. It's ideal for preserving context during active sessions rather than manually copying logs later.

Does the feedback script require any dependencies or setup?

The script runs via Node.js with no external dependencies listed, requiring only the ANTHROPIC_BASE_URL environment variable to be configured for endpoint detection.