skill-gsb-summary

Analyze GSB model dialogues and generate evaluation summary forms.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/attitudeshuai/ai-apps-workspace --skill skill-gsb-summary
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-gsb-summary
Source: https://github.com/attitudeshuai/ai-apps-workspace/tree/main/.kimi/skill/skill-gsb-summary
Command: npx skills add https://github.com/attitudeshuai/ai-apps-workspace --skill skill-gsb-summary

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires implementation-reviewer, humanizer-zh, git, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the analysis of GSB model dialogues and generates a standardized evaluation summary form, saving time and reducing manual effort.

Core Features & Use Cases

  • Dialogue Analysis: Automatically analyzes all models' dialogue content files.
  • Code Review: Integrates code changes from corresponding repository branches.
  • Evaluation Summary: Generates a detailed evaluation summary form for each project.
  • Use Case: After completing GSB model dialogues, use this Skill to generate an evaluation summary form for each project, containing analysis results and model performance evaluations.

Quick Start

Run the analyze command to generate an evaluation summary for the 'projectX' project.

Frequently Asked Questions about skill-gsb-summary

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

FAQPage Schema
How do I automate GSB model dialogue analysis and evaluation summary generation?

Automate GSB model dialogue analysis by running the analyze command to process dialogue content, extract code changes from repository branches, and generate a standardized evaluation summary form for each project.

What's the best way to include code review results in a GSB evaluation summary?

Include code review results in a GSB evaluation summary by integrating repository branch data and leveraging the implementation-reviewer agent to analyze code changes alongside dialogue content for comprehensive project evaluation.

Do I need specific agents to generate evaluation summaries for GSB model dialogues?

Yes, generating GSB model evaluation summaries requires the implementation-reviewer and humanizer-zh agents, along with specific scripts for configuration and file handling, to automate dialogue analysis and code review integration.

Can I retrieve code changes directly from repository branches during model analysis?

Retrieve code changes directly from repository branches during model analysis by utilizing the integrated git dependency, which fetches branch data to correlate code modifications with GSB model dialogue performance.

Why does GSB model analysis require separate scripts for configuration and file handling?

GSB model analysis requires separate scripts for configuration and file handling to systematically process dialogue content files across all models and structure the extracted data into a standardized evaluation summary form.

When should I use an automated evaluation summary for GSB model projects?

Use an automated evaluation summary for GSB model projects immediately after completing model dialogues to save time, reduce manual effort, and standardize performance analysis across multiple project branches.