bmad-generate-project-context

A project-context document captures your technology stack, existing patterns, and critical rules into a single lean project-context.md file optimized for AI agents to read before coding. It solves inconsistent AI-generated code by standardizing implementation guidelines.

You standardize AI coding standards by applying a structured workflow that iteratively discovers and generates category-specific rules, enforcing consistency, safety, and maintainability across all teams. This ensures every AI agent follows the same project-wide guidelines.

Yes, the Skill extracts both patterns and anti-patterns from your repository during the discovery phase. It applies category-specific rule generation to ensure these conventions are explicitly documented for AI agents within the project-context file.

Yes, the project context generator works without external dependencies. It operates as a standalone Skill with no required modules, applying its structured workflow and frontmatter tracking to generate the context document directly from your codebase analysis.

The workflow to create AI rules follows a step-based process: discover, generate, and complete. It guides iterative collaboration to extract your technology stack and rules, applying frontmatter tracking and category-specific rule generation to output a reusable project-context.md file.