jin-gcc

Analyze code from multiple AI perspectives and synthesize findings into a structured report.

2|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/cjinzy/jin-claude --skill jin-gcc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: jin-gcc
Source: https://github.com/cjinzy/jin-claude/tree/main/plugins/jin-claude/skills/jin-gcc
Command: npx skills add https://github.com/cjinzy/jin-claude --skill jin-gcc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive code analysis by leveraging multiple AI perspectives, ensuring a well-rounded evaluation of code quality, security, and potential issues.

Core Features & Use Cases

  • Multi-AI Analysis: Integrates with external CLIs like Codex and Gemini, or falls back to Claude agents for diverse viewpoints.
  • Perspective-Based Evaluation: Analyzes code from predefined or custom perspectives (e.g., backend, frontend, security, performance).
  • Synthesis Report: Consolidates findings into a structured report highlighting agreements, conflicts, and recommendations.
  • Use Case: Before merging a complex feature, use jin-gcc to get a security expert's view, a performance analyst's view, and a backend architect's view to identify potential risks and trade-offs.

Quick Start

Use jin gcc to analyze the following code snippet from a security perspective.

Frequently Asked Questions about jin-gcc

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

FAQPage Schema
How do I perform multi-perspective code analysis before merging a complex feature?

Multi-perspective code analysis evaluates code from predefined or custom perspectives like backend, frontend, security, and performance to identify potential risks and trade-offs. It leverages external CLIs or spawns Claude agents in parallel to provide a well-rounded evaluation of code quality and security.

Can I use external AI CLIs like Codex and Gemini for security review and performance analysis?

Yes, security review and performance analysis can integrate with external CLIs like Codex and Gemini. The system attempts to use these tools in parallel for diverse viewpoints, automatically falling back to spawning Claude agents if external CLIs are unavailable.

Does this multi-AI analysis approach require bash for CLI detection and agent execution?

Yes, bash is required for CLI detection and agent execution during multi-AI analysis. The Skill relies on bash to identify available external CLIs and to spawn parallel Claude agents with predefined or custom evaluation perspectives.

What is the best way to consolidate findings from multiple AI code analysis perspectives?

Consolidating findings from multiple AI code analysis perspectives involves synthesizing the results into a comprehensive structured report. This synthesis report highlights agreements, conflicts, and prioritized recommendations, providing a clear overview of code quality and potential issues.

How do I analyze code from custom perspectives beyond standard backend and frontend views?

To analyze code from custom perspectives, you can define specific viewpoints beyond standard backend, frontend, security, or performance roles. The system accepts these custom parameters to spawn targeted agents that evaluate the code snippet according to your specialized criteria.