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github-deep-research

Analyze GitHub repositories through multi-round research to generate structured reports.

Updated Apr 7, 2026
Search Tags:#timeline#research#github#analysis#executive-summary#markdown-report#mermaid-diagrams
One-click install
npx skills add https://github.com/easyspace-ai/minote --skill github-deep-research-easyspace-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-deep-research
Source: https://github.com/easyspace-ai/minote/tree/main/skills/public/github-deep-research
Command: npx skills add https://github.com/easyspace-ai/minote --skill github-deep-research-easyspace-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) and assets (resource) components.

What problem does it solve?

Analyze GitHub repositories thoroughly to produce structured research reports that accelerate decision-making.

Core Features & Use Cases

  • Multi-round GitHub repository analysis leveraging GitHub API and web data to create comprehensive reports.
  • Includes executive summaries, chronological timelines, metrics analysis, and Mermaid diagrams for architecture visualization.
  • Use cases include competitive analysis, repo health assessment, and feature evolution tracking.

Quick Start

Input a GitHub repository URL to trigger a deep research report.

Frequently Asked Questions about github-deep-research

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

FAQPage Schema
How do I generate a structured analysis report for a GitHub repository?▼

To generate a structured analysis report for a GitHub repository, input the repository URL to trigger multi-round analyses that produce executive summaries, chronological timelines, metrics analysis, and Mermaid architecture diagrams.

Can I visualize project architecture and feature evolution using GitHub API data?▼

Yes, you can visualize project architecture and feature evolution using GitHub API data by generating Mermaid diagrams and chronological timelines that map repository metrics and open-source project development.

What is the best way to conduct competitive analysis on open-source GitHub projects?▼

The best way to conduct competitive analysis on open-source GitHub projects is to perform multi-round repository research that aggregates web data and GitHub API metrics into a comprehensive markdown report.

Does this GitHub repository analysis require any specific dependencies or setup?▼

GitHub repository analysis requires the requests dependency to fetch API data and web information, functioning within a repeatable workflow to integrate findings into structured markdown reports.

How do I track repository health and commit history timelines for a GitHub repo?▼

Track repository health and commit history timelines by analyzing GitHub repositories through multi-round API data extraction, resulting in chronological timelines and metrics analysis within a markdown report.

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