research-github-issue

Research a GitHub repository to answer an issue with a structured document.

1|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/DoGab/VitalStack --skill research-github-issue
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-github-issue
Source: https://github.com/DoGab/VitalStack/tree/main/.agents/skills/research-github-issue
Command: npx skills add https://github.com/DoGab/VitalStack --skill research-github-issue

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Researches and maps a GitHub repository to answer questions about a specific issue by tracing code paths, dependencies, and design context to produce a structured research document.

Core Features & Use Cases

  • Spawn parallel sub-agents to explore different parts of the repository (modules, tests, docs) and synthesize findings.
  • Capture design context and generate a map of code paths, references, and architectural decisions.
  • Produce a structured research document with file paths, line references, and cross-component connections.
  • Use Case: given a GitHub issue, research the codebase to provide context, references, and a final summary document.

Quick Start

Provide the GitHub issue number and repository, and the skill will begin parallel research to generate a structured report.

Frequently Asked Questions about research-github-issue

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

FAQPage Schema
How do I research a codebase to map context for a GitHub issue?

To research a codebase for a GitHub issue, spawn parallel sub-agents to explore different repository modules and synthesize findings into a structured document with file paths, line references, and architectural context.

How do I trace code paths and dependencies across multiple files to document architecture?

Trace code paths and dependencies across multiple files by deploying parallel sub-agents to explore different directories, capturing design context and cross-component references to generate a comprehensive architectural map.

What is the best way to generate a structured research document from a GitHub repository?

Generate a structured research document from a GitHub repository by using parallel agents to investigate specific issues, synthesizing cross-cutting insights, code structure, and rationale into a shareable report.

Can I use parallel agents to investigate cross-cutting insights for a GitHub issue?

Yes, you can use parallel agents to investigate cross-cutting insights for a GitHub issue by having them explore different repository parts simultaneously and synthesizing their findings into a unified research document.

Does this approach work for mapping references and design context across large repositories?

Mapping references and design context across large repositories works by spawning multiple sub-agents to handle different parts of the codebase, ensuring comprehensive research and synthesized cross-component connections.

When should I not use parallel sub-agents for codebase research?

Avoid using parallel sub-agents for codebase research when an issue demands only localized, single-file inspection without cross-cutting insights, as the overhead of synthesizing multiple agents is unnecessary for simple tasks.