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research-codebase

Analyze codebase structure by spawning parallel sub-agents to explore components and connections.

3|Updated Feb 20, 2026
Search Tags:#automation#architecture#documentation#research#codebase#components#parallel-agents
One-click install
npx skills add https://github.com/theomonfort/theomonfort --skill research-codebase-theomonfort
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-codebase
Source: https://github.com/theomonfort/theomonfort/tree/main/.github/skills/research-codebase
Command: npx skills add https://github.com/theomonfort/theomonfort --skill research-codebase-theomonfort

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps users understand and document a codebase by coordinating parallel research tasks across components, producing a comprehensive map of how the system is structured and how components interact.

Core Features & Use Cases

  • Orchestrates parallel sub-agent tasks to investigate different areas of a codebase.
  • Reads and documents file locations, interactions, and architecture without proposing changes.
  • Generates a structured research document with precise file paths and references for developers.

Quick Start

Provide your research question and I will spawn parallel sub-agents to explore the codebase and synthesize findings into a comprehensive report.

Frequently Asked Questions about research-codebase

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

FAQPage Schema
How do I document a codebase architecture using parallel agents?▼

Document a codebase architecture by spawning parallel sub-agents to explore different components and connections, synthesizing findings into a structured research document with precise file paths and source references.

What is the best way to map codebase structure and trace system interactions?▼

Mapping codebase structure involves orchestrating parallel research tasks across the repository to locate architectures, trace component interactions, and produce a comprehensive map of how the system is organized.

Can I use this to research how code components relate without modifying the codebase?▼

Yes, you can research how code components relate by reading specified files first and documenting interactions without proposing changes, ensuring the codebase remains untouched while producing a structured research document.

How do I coordinate multi-agent research tasks to explore a large repository?▼

Coordinate multi-agent research tasks by spawning parallel sub-agents to investigate different areas of the codebase simultaneously, reading file locations and architecture to synthesize a comprehensive report.

Does this approach generate source-referenced documentation for developers?▼

Yes, it generates a structured research document with precise file paths and references for developers, ensuring all traced component interactions and architectural findings are source-referenced.

When should I use parallel agents for codebase research instead of manual exploration?▼

Use parallel agents for codebase research when you need to understand extensive component connections and trace system interactions across a large repository quickly, rather than manually reading files sequentially.

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