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github-deep-research

Conduct multi-round GitHub repository research and generate citation-backed markdown reports.

135|12|Updated Mar 30, 2026
Search Tags:#research#mermaid#github#commit-history#repo-analysis#contributors#github-api
One-click install
npx skills add https://github.com/Citrus-bit/medrix-flow --skill github-deep-research-citrus-bit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-deep-research
Source: https://github.com/Citrus-bit/medrix-flow/tree/main/skills/public/github-deep-research
Command: npx skills add https://github.com/Citrus-bit/medrix-flow --skill github-deep-research-citrus-bit

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Provides a systematic, multi-round approach to transform a GitHub repository URL into a comprehensive, citation-backed markdown research report, solving the common pain of fragmented and superficial repo investigations by producing timelines, metrics, and architecture analysis.

Core Features & Use Cases

  • Multi-round research workflow: Orchestrates GitHub API calls, web discovery, targeted web fetches, and commit/issue analysis across four research rounds.
  • Executable tooling: Includes scripts/github_api.py to fetch repo info, readme, tree, languages, contributors, commits, issues, PRs, releases and generate summaries programmatically.
  • Structured report output: Uses assets/report_template.md to produce consistent markdown reports with executive summaries, chronological timelines, metrics tables, confidence scoring, and Mermaid diagrams.
  • Use cases: Competitive analysis, timeline reconstruction, contributor/activity forensics, release and feature evolution reviews, and onboarding technical stakeholders.

Quick Start

Run the GitHub Deep Research skill on the repository URL https://github.com/owner/repo to generate a complete markdown research report including executive summary, timeline, metrics, mermaid diagrams, and cited sources.

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 research report from a GitHub repository?▼

You can generate a structured GitHub repository research report by running a multi-round research workflow that orchestrates GitHub API calls, web discovery, and commit analysis to produce citation-backed markdown outputs with timelines, metrics, and Mermaid diagrams.

Can I analyze GitHub commit history and contributors programmatically?▼

Yes, you can analyze GitHub commit history and contributors programmatically by executing Python scripts that fetch repository info, commits, issues, and PRs via the GitHub API to generate structured summaries and contributor forensics.

Does GitHub repository analysis require a personal access token for API calls?▼

A GitHub personal access token is optional for repository analysis but recommended to achieve higher rate limits when orchestrating multi-round API calls for commits, issues, PRs, and releases data.

What is the best way to reconstruct a project timeline from a GitHub repo?▼

The best way to reconstruct a project timeline from a GitHub repo is to conduct deep research across commits, issues, and releases, mapping the chronological evolution into a structured markdown report with Mermaid diagrams.

How do I create Mermaid diagrams for GitHub repository analysis?▼

You create Mermaid diagrams for GitHub repository analysis by applying a structured report template that translates fetched commit history, contributor activity, and release metrics into visual markdown outputs.

What are the limitations of using the GitHub API for repository research?▼

The primary limitation of using the GitHub API for repository research is rate limiting, which restricts the volume of fetches for commits, issues, and PRs unless an optional personal access token is provided.

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