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github-deep-research

Analyze GitHub repositories via API and web research into structured markdown reports.

Updated Mar 7, 2026
Search Tags:#developer tools#research#open source#github#code metrics#repository analysis
One-click install
npx skills add https://github.com/aifredoai/sdk --skill github-deep-research-aifredoai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-deep-research
Source: https://github.com/aifredoai/sdk/tree/main/deerflow/skills/public/github-deep-research
Command: npx skills add https://github.com/aifredoai/sdk --skill github-deep-research-aifredoai

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates comprehensive research and analysis of GitHub repositories, providing structured reports that save significant time and effort in understanding open-source projects.

Core Features & Use Cases

  • Automated Repository Analysis: Conducts multi-round research using GitHub API, web searches, and content fetching to generate detailed reports.
  • Structured Reporting: Produces markdown reports including executive summaries, timelines, metrics, and diagrams.
  • Use Case: When evaluating a new open-source project for potential integration, use this Skill to get a deep understanding of its history, architecture, community engagement, and key metrics.

Quick Start

Use the github-deep-research skill to analyze the repository located at https://github.com/owner/repo.

Frequently Asked Questions about github-deep-research

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

FAQPage Schema
How do I perform deep research and analysis on a GitHub repository?▼

To perform deep research on a GitHub repository, this Skill integrates the GitHub API, web search, and web fetching to conduct multi-round analysis. It automatically generates a structured markdown report covering executive summaries, timelines, and metrics.

What is the best way to evaluate an open source project for integration?▼

Evaluating an open source project for integration is best done by analyzing its history, architecture, community engagement, and key metrics. This Skill automates that comprehensive repository analysis to provide a deep understanding of the project.

Can I generate code metrics and chronological timelines for open source projects?▼

Yes, you can generate code metrics and chronological timelines for open source projects. The Skill processes repository data to produce structured markdown reports that include detailed metrics analysis and project timelines.

Does the repository analysis report include visual diagrams?▼

Yes, the repository analysis report includes visual diagrams. The Skill generates structured markdown reports that incorporate Mermaid diagrams to help visualize the analyzed data and architecture.

What inputs do I need to trigger automated GitHub repository analysis?▼

To trigger automated GitHub repository analysis, you need to provide a GitHub repository URL or an open source project name. The Skill prioritizes official documentation and verified sources to conduct its multi-round research.

Are there limitations to analyzing open source projects with this method?▼

A limitation of analyzing open source projects with this method is the reliance on external data fetching and the GitHub API. The depth of the analysis is constrained by the availability of official documentation and verified web sources.

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