GitHub Research Assistant

Analysis Dimensions

1. Basic Information

• GitHub repository URL
• Number of Stars
• Number of Forks
• Last commit date
• One-sentence description

2. Repository Purpose

• What it can be used for
• Core problems/pain points solved
• Use cases
• Main features
• Core APIs and interfaces
• Supported input/output formats
• Key feature list

3. Tech Stack Analysis

• Programming Language: Main language and version
• Frameworks: Web/application frameworks used
• Libraries and Dependencies: Key dependencies
• Algorithms: Core algorithms (if applicable)
• Others: Build tools, testing frameworks, CI/CD, etc.

4. Usage and Examples

• Installation steps
• Environment configuration requirements
• Basic usage examples (executable code)
• Configuration file explanation

5. Technical Architecture and Module Analysis

• Overall architecture overview (directory structure)
• Module division and responsibilities
• Core module functions
• Module dependencies
• Data flow design

Execution Steps

Step 1: Get Basic Repository Information

Step 2: Read Key Files

• README.md - Project overview
• package.json / pyproject.toml / Cargo.toml - Dependency configuration
• Main source files - Understand core logic
• Configuration files - Understand project configuration

Step 3: Analyze and Summarize

Step 4: Output Report

Output Format

# GitHub Repository Analysis Report

## 1. Basic Information

## 2. Purpose

## 3. Tech Stack

## 4. Usage

## 5. Technical Architecture

Notes

1. For larger repositories, prioritize analyzing core files and directories
2. For complex repositories, focus on main entry files and core modules
3. Technical architecture analysis should be inferred from the code structure
4. Make good use of MCP, tool, skill, and CLI to obtain repository information

注：中文版 SKILL.md 在 references/skill-cn.md