github-deep-research

Analyze GitHub repositories through API calls, web searches, and content fetching.

79.6k|10.9k|Updated May 7, 2025

Search Tags:#developer tools #research #open source #github #code intelligence #repository analysis

Ready to run

npx skills add https://github.com/bytedance/deer-flow --skill github-deep-research

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: github-deep-research
Source: https://github.com/bytedance/deer-flow/tree/main/skills/public/github-deep-research
Command: npx skills add https://github.com/bytedance/deer-flow --skill github-deep-research

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 insights that would otherwise require extensive manual investigation.

Core Features & Use Cases

Automated Repository Analysis: Gathers data on repository structure, languages, contributors, commits, issues, and releases.
Multi-Round Research: Employs a phased approach, starting with API data and expanding to web searches and content fetching for in-depth understanding.
Structured Reporting: Generates detailed markdown reports with executive summaries, timelines, metrics, and diagrams.
Use Case: A product manager needs to understand a competitor's open-source project. This Skill can provide a full report on its development history, community engagement, and technical architecture.

Quick Start

Analyze the GitHub repository located at https://github.com/bytedance/deer-flow.

Frequently Asked Questions about github-deep-research

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

FAQPage Schema

How do I analyze a GitHub repository's development activity and community engagement?▼

To analyze a GitHub repository, you can trigger automated research using the repository URL or project name to gather data on commits, issues, and contributors. This process extracts development activity and community engagement metrics to generate a structured markdown report.

Can I generate a timeline and metrics report for an open-source project automatically?▼

Yes, you can automatically generate a metrics report and chronological timeline for an open-source project. By integrating GitHub API calls and web searches, the analysis produces structured markdown reports complete with executive summaries and Mermaid diagrams.

What is the best way to deep dive into a competitor's open-source technical architecture?▼

The best way to deep dive into an open-source technical architecture is using multi-round research that fetches repository details and web content. This approach analyzes structure, languages, and releases to produce a comprehensive report on the project's technical foundation.

Does the repository analysis work with just a project name, or do I need a specific GitHub URL?▼

Repository analysis works with both specific GitHub URLs and open-source project names. Providing either input triggers multi-round research that integrates GitHub API data and web searches to evaluate the repository details and development activity.

What is included in the structured report when analyzing GitHub repositories?▼

When analyzing GitHub repositories, the structured report includes an executive summary, chronological timelines, development metrics, and Mermaid diagrams. It aggregates repository structure, languages, contributors, and release history into a detailed markdown format.