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github-deep-research

Research GitHub repositories and generate structured markdown reports.

Updated Aug 23, 2026
Search Tags:#github#competitive analysis#repository analysis#timeline reconstruction#in-depth investigation
One-click install
npx skills add https://github.com/ainlper/dra-drb2 --skill github-deep-research-ainlper
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-deep-research
Source: https://github.com/ainlper/dra-drb2/tree/main/deer-flow/skills/public/github-deep-research
Command: npx skills add https://github.com/ainlper/dra-drb2 --skill github-deep-research-ainlper

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill solves the problem of conducting thorough research on GitHub repositories, including in-depth analysis, timeline reconstruction, and competitive assessment.

Core Features & Use Cases

  • Multi-Round Research: Combines GitHub API, web search, and web_fetch for comprehensive analysis.
  • Structured Reports: Generates markdown reports with executive summaries, timelines, and metrics.
  • Use Case: Ideal for users needing detailed analysis of a GitHub repository, including timeline reconstruction, competitive analysis, or in-depth investigation.

Quick Start

To initiate research on a GitHub repository, provide the URL or open-source project name using the github-deep-research skill.

Frequently Asked Questions about github-deep-research

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

FAQPage Schema
How do I conduct comprehensive competitive analysis on a GitHub repository?▼

To conduct competitive analysis on a GitHub repository, you need multi-round research combining GitHub API data, web search, and web fetch to generate structured markdown reports with executive summaries, timelines, and metrics.

What is the best way to reconstruct the development timeline of an open source project?▼

Reconstructing a development timeline involves fetching historical repository data via the GitHub API and enriching it with web search context to produce a structured chronological report of project milestones and metrics.

Can I generate an in-depth investigation report for a GitHub repository automatically?▼

Yes, you can generate an in-depth investigation report by executing multi-round research that aggregates GitHub API data, web search results, and fetched web context into a structured markdown format.

Does GitHub repository analysis require API access to fetch metrics and timelines?▼

Yes, GitHub repository analysis requires GitHub API access to retrieve core data metrics, alongside web search and web fetch capabilities to gather additional context for the final structured markdown report.

How do I perform an in-depth investigation of a GitHub repository without missing external context?▼

Performing an in-depth investigation requires combining GitHub API data retrieval with web search and web fetch to capture external context, ensuring the final markdown report includes comprehensive metrics and timeline reconstruction.

What limitations exist when using web search and GitHub API for repository analysis?▼

Limitations include dependency on GitHub API access and web search capabilities, meaning analysis depth is constrained by API rate limits and the availability of indexed web information for generating structured markdown reports.

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