ralph-research

Research GitHub issues by analyzing codebases and documenting findings in Markdown.

2|Updated Jan 23, 2026
One-click install
npx skills add https://github.com/cdubiel08/ralph-hero --skill ralph-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ralph-research
Source: https://github.com/cdubiel08/ralph-hero/tree/main/plugin/ralph-hero/skills/ralph-research
Command: npx skills add https://github.com/cdubiel08/ralph-hero --skill ralph-research

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of researching GitHub issues, investigating codebases, and documenting findings to prepare them for implementation.

Core Features & Use Cases

  • Automated Issue Triage: Selects and researches small to extra-small GitHub issues needing investigation.
  • Codebase Analysis: Investigates relevant code files and patterns related to the issue.
  • Research Documentation: Creates detailed research documents with findings, affected files, and recommendations.
  • Dependency Management: Analyzes and updates inter-issue dependencies based on research.
  • Use Case: When a new issue is created that requires understanding existing code or identifying potential solutions, this Skill can autonomously research the problem, document its findings, and update the issue's status, allowing developers to focus on implementation.

Quick Start

Use the ralph-research skill to research issue number 123.

Frequently Asked Questions about ralph-research

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

FAQPage Schema
How do I automate GitHub issue research and codebase analysis?

Automating GitHub issue research involves selecting backlog items, investigating relevant code patterns, and documenting findings in structured Markdown. This Skill transitions issues to "Ready for Plan" after synthesizing code and external information into a comprehensive research document.

Can I automatically triage and research small GitHub issues?

Yes, automated issue triage selects small to extra-small issues from a backlog, transitions them to "Research in Progress," and performs autonomous codebase analysis to prepare structured documentation for development planning.

What is the best way to document codebase analysis for GitHub issues?

Documenting codebase analysis for GitHub issues is best handled by synthesizing investigated code patterns and external sources into structured Markdown files. This process includes recording affected files, findings, and recommendations directly on the issue.

How does autonomous issue triage prepare issues for implementation?

Autonomous issue triage prepares issues for implementation by investigating the codebase, creating detailed research documents with findings and affected files, and updating the GitHub issue status so developers can focus directly on coding.

When should I not use autonomous research for GitHub issues?

Autonomous research for GitHub issues is not suited for large or complex issues outside the small to extra-small scope. It is designed for targeted codebase investigation and pattern documentation rather than handling broad architectural changes.