bmad-generate-project-context

To generate project context for AI agents, run the generate-project-context command with your codebase path. The Skill scans your existing codebase to extract implementation rules and conventions, creating an LLM-optimized project-context.md file.

LLM-optimized project context is a markdown file containing extracted codebase implementation rules and conventions. You need it when onboarding new AI agents to brownfield projects or quick development workflows to ensure accurate code generation.

Generating project context requires access to your target codebase and the analyst.agent.yaml file. You must provide the codebase path via the command line interface for the scanning process to execute successfully.

You can use automated codebase analysis for brownfield project onboarding. This Skill scans existing codebases to automatically extract implementation patterns and conventions, replacing the need to manually document project context for AI agents.

The best way to extract implementation rules for LLM use is automating codebase scanning. This Skill analyzes your existing codebase and generates a structured project-context.md file optimized specifically for LLM consumption.

Project context generation needs the analyst.agent.yaml file to configure the analysis agent. This file defines the specific rules and parameters the scanner uses to evaluate your codebase and extract the correct implementation conventions.