github-research

Map GitHub repositories from research outputs into an integration blueprint.

4|1|Updated Apr 8, 2026

Search Tags:#research #integration #github #blueprint #code-analysis #repo-discovery

Ready to run

npx skills add https://github.com/ARAVINDAN20/Claude-Research-Paper-OS --skill github-research-aravindan20

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: github-research
Source: https://github.com/ARAVINDAN20/Claude-Research-Paper-OS/tree/main/.claude/skills/agent-research-skills/skills/github-research
Command: npx skills add https://github.com/ARAVINDAN20/Claude-Research-Paper-OS --skill github-research-aravindan20

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Discover and map GitHub repositories related to a research topic to assemble a structured integration blueprint.

Core Features & Use Cases

Discovers repositories from multiple sources (GitHub search, Papers With Code, code search) relevant to a topic.
Reads deep-research outputs and generates per-repo analyses and integration blueprints.
Produces an end-to-end workflow from discovery to a reusable blueprint ready for implementation.

Quick Start

Open Claude Code, point the GitHub Research skill at your topic and supply the deep-research output directory to begin the discovery pipeline.

Frequently Asked Questions about github-research

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

FAQPage Schema

How do I discover GitHub repositories relevant to a specific research topic?▼

To discover GitHub repositories for a research topic, use a six-phase pipeline that searches multiple sources like GitHub search and Papers With Code to produce a prioritized, ready-to-use repo set.

How do I generate an integration blueprint from deep-research outputs?▼

Generating an integration blueprint from deep-research outputs requires pointing the pipeline at your research directory to analyze multi-source signals and produce structured phase artifacts and a final actionable report.

Can I map code-analysis results from Papers With Code into a reusable repo set?▼

Yes, mapping code-analysis results from Papers With Code into a reusable repo set is supported, reading deep-research outputs to generate per-repo analyses and an actionable integration plan.

Do I need a deep-research output directory to start repo discovery?▼

Yes, a deep-research output directory is required to start the repo discovery pipeline, which uses it to apply multi-source signals and generate an end-to-end workflow from discovery to blueprint.

What is the best way to prioritize GitHub repos for an integration plan?▼

The best way to prioritize GitHub repos for an integration plan is applying a six-phase pipeline across deep-research outputs and multi-source signals to generate a structured, prioritized repo set.

Are there limitations when discovering repos across multiple sources for research?▼

Limitations when discovering repos across multiple sources include dependency on the deep-research output directory path and the need for multi-source signals to produce a complete integration blueprint.