github-deep-research

Name: github-deep-research
Availability: InStock
Author: hackeshackes

Analyze GitHub repositories via API and web search into markdown reports.

6|2|Updated Apr 10, 2026

Search Tags:#research #github #analysis #repository #reporting

Ready to run

npx skills add https://github.com/hackeshackes/deerfllow-BY --skill github-deep-research-hackeshackes

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the need for in-depth analysis of GitHub repositories, including timeline reconstruction, competitive analysis, and detailed investigation. It aids in comprehensive research for users seeking extensive insights into open-source projects.

Core Features & Use Cases

Multi-Round Research: Combines GitHub API, web_search, and web_fetch for thorough analysis.
Structured Reports: Generates markdown reports with executive summaries, timelines, metrics, and diagrams.
Use Case: Ideal for users who need a detailed analysis of a GitHub project, such as for competitive research or understanding project evolution.

Quick Start

Use the github-deep-research skill to analyze the GitHub repository '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 conduct deep research on a GitHub repository for competitive analysis?▼

Deep research on a GitHub repository involves multi-round analysis using the GitHub API, web_search, and web_fetch to generate comprehensive markdown reports with executive summaries, timelines, metrics, and diagrams.

What is the best way to analyze an open-source project's timeline and metrics?▼

Analyzing an open-source project's timeline and metrics is best handled by performing multi-round deep research on the repository URL to reconstruct its evolution and extract detailed insights into its development history.

Can I generate structured markdown reports from GitHub repository analysis?▼

Yes, you can generate structured markdown reports from GitHub repository analysis that include executive summaries, development timelines, project metrics, and visual diagrams to provide comprehensive insights.

How do I get comprehensive insights into a GitHub project's evolution?▼

To get comprehensive insights into a GitHub project's evolution, you perform multi-round research that combines GitHub API data with web searches to reconstruct the project timeline and generate detailed markdown reports.

Does GitHub repository research require any specific dependencies or setup?▼

GitHub repository research does not require specific dependencies, as the analysis operates directly on GitHub repository URLs and open-source projects using integrated web fetching and search capabilities.

What should I not expect when using automated repository reporting for open-source projects?▼

Automated repository reporting for open-source projects should not be expected to analyze private repositories, as the deep research mechanism operates strictly on public GitHub repository URLs to generate markdown reports.