bmad-document-project

Analyze complex codebases to generate architectural and operational documentation.

2|2|Updated Feb 16, 2025

Search Tags:#automation #architecture #code analysis #documentation #legacy systems #code comprehension

Ready to run

npx skills add https://github.com/allaydesai/Trading-ntrader --skill bmad-document-project-allaydesai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: bmad-document-project
Source: https://github.com/allaydesai/Trading-ntrader/tree/main/.cursor/skills/bmad-document-project
Command: npx skills add https://github.com/allaydesai/Trading-ntrader --skill bmad-document-project-allaydesai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires git, Python libraries for static analysis, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill empowers AI systems to analyze and generate detailed documentation for complex or legacy codebases, facilitating onboarding, maintenance, and knowledge transfer.

Core Features & Use Cases

Complete Codebase Analysis: Performs exhaustive scanning of source files, dependencies, directory structures, and architecture patterns.
Multi-Part Project Support: Identifies and documents multi-component systems, including APIs, UIs, data models, and integration points.
Automated Documentation Generation: Produces structured markdown guides like architecture docs, index files, component inventories, and deployment instructions.
Use Case: Securely generate comprehensive documentation for an outdated enterprise system to onboard new developers or prepare for migration.

Quick Start

Provide the project root path to the AI and ask it to generate the full documentation set for the codebase.

Frequently Asked Questions about bmad-document-project

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

FAQPage Schema

How do I generate documentation for a legacy codebase automatically?▼

To generate documentation for a legacy codebase, this Skill performs exhaustive source file scanning to produce structured markdown guides covering architecture, dependencies, and APIs. It handles outdated enterprise systems to facilitate onboarding and maintenance.

What is the best way to document multi-part project architecture and integration points?▼

Documenting multi-part project architecture involves deep scanning of the project layout to identify and map APIs, UIs, data schemas, and integration points. This Skill generates detailed component inventories and operational reports for complex multi-component systems.

Do I need git and Python static analysis libraries to scan source code structure?▼

Yes, you need git and Python static analysis libraries to scan source code structure. These dependencies enable the deep scanning required to analyze directory structures, map dependencies, and extract architectural patterns from complex codebases.

Can I analyze complex codebases to prepare for system migration?▼

Yes, you can analyze complex codebases to prepare for system migration. This Skill produces full architectural and operational documentation, detailing data schemas and deployment workflows, which is essential for migrating outdated enterprise systems.

What are the limitations of automated code comprehension for large multi-part projects?▼

The limitations of automated code comprehension for large multi-part projects include the necessity of having the complete project root path available and the requirement for external dependencies like git and Python static analysis libraries to perform the deep scanning.