module-deep-research

Analyzes code, tests, documentation and configurations of existing modules to build a knowledge base.

3|5|Updated Jun 22, 2026
One-click install
npx skills add https://github.com/pi-ixel/Awesome-Agent-Workflow --skill module-deep-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: module-deep-research
Source: https://github.com/pi-ixel/Awesome-Agent-Workflow/tree/main/skills/module-deep-research
Command: npx skills add https://github.com/pi-ixel/Awesome-Agent-Workflow --skill module-deep-research

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of understanding complex modules by providing a structured approach to research and document module knowledge assets.

Core Features & Use Cases

  • In-depth Module Research: Delve into existing modules to create reusable knowledge assets.
  • Read-only Analysis: Focus on analyzing code, tests, documentation, and configurations without modifying business code.
  • Continuous Knowledge Base: Build a continuous knowledge base through iterative research sessions.
  • Use Case: For a developer who needs to understand a module's responsibilities, execution paths, data models, constraints, and risks without modifying the code.

Quick Start

Start the module-deep-research skill with the command: module-deep-research <module-name>

Frequently Asked Questions about module-deep-research

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

FAQPage Schema
How do I analyze software architecture and build module documentation without modifying code?

You can analyze software architecture and build module documentation by applying a structured, read-only research method to evaluate code, tests, and configurations. This approach ensures you understand module behaviors and constraints without altering business code.

What is the best way to create reusable knowledge assets for existing code modules?

Creating reusable knowledge assets involves conducting in-depth module research to document execution paths, data models, and risks. This iterative process builds a continuous knowledge base for developers and architects to reference.

How do I research module responsibilities and execution paths for a codebase I need to understand?

To research module responsibilities and execution paths, you analyze existing tests, documentation, and configurations iteratively. This read-only analysis clarifies module behaviors and risks without requiring code modifications.

Can I use code analysis to document data models and constraints for complex modules?

Yes, you can use code analysis to document data models and constraints for complex modules. The structured research method focuses on extracting these details from existing code and configurations to build a comprehensive knowledge base.

When should I not use a read-only module research approach for software documentation?

You should not use a read-only module research approach when your goal is to fix bugs, refactor, or alter the business code. This method is strictly for building knowledge assets and understanding behaviors, not for modifying the existing codebase.