research_codebase_generic

Coordinate parallel sub-agents to document codebase structure, dependencies, and interactions.

2|Updated May 8, 2026
One-click install
npx skills add https://github.com/BrightBlock/hyprlayer-cli --skill research-codebase-generic-brightblock
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research_codebase_generic
Source: https://github.com/BrightBlock/hyprlayer-cli/tree/main/claude/skills/research_codebase_generic
Command: npx skills add https://github.com/BrightBlock/hyprlayer-cli --skill research-codebase-generic-brightblock

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinates parallel sub-agents to comprehensively research a codebase, enabling thorough discovery even when project structure or documentation is incomplete, and produces a structured research artifact that reflects live findings.

Core Features & Use Cases

  • Parallel exploration: spawn multiple analysis tasks to cover components, dependencies, and architecture.
  • Cross-repo compatibility: works with projects that lack a standard thoughts directory and centralizes findings into a single artifact.
  • Artifact generation: produces a comprehensive research document with file references and architecture insights.
  • Flexible backends: supports multiple storage backends for long-term knowledge base integration.

Quick Start

Spawn parallel sub-agents to analyze the codebase and generate a structured research artifact.

Frequently Asked Questions about research_codebase_generic

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

FAQPage Schema
What is the best way to document codebase architecture across multiple components?

Parallel sub-agents map a codebase by spawning multiple analysis tasks to cover components, dependencies, and architecture. They cross-reference file paths and line references, producing a comprehensive research artifact even when project documentation is incomplete.

How do I generate a structured research artifact with file paths and line references?

Yes, parallel agents work with projects that lack a standard thoughts directory or non-standard structures. They centralize findings into a single structured artifact, ensuring comprehensive discovery of dependencies and references regardless of the original project layout.

Does this codebase analysis approach support long-term knowledge base integration?

Generating a structured research artifact involves coordinating parallel sub-agents to map the codebase and record exact file paths and line references. The resulting document captures live findings and architecture insights suitable for a living knowledge base.

Why use parallel sub-agents instead of a single agent for codebase research?

Yes, this codebase analysis approach supports long-term knowledge base integration through flexible storage backends. It produces a living research artifact that centralizes architecture insights and file references for continuous updates.