bmad-generate-project-context

To create a project context file for AI code consistency, describe your project's core features and technologies to initiate automated context generation. The Skill incrementally guides teams through documenting technical standards, architecture, and workflow rules into a structured project-context.md.

Project standards documentation for AI-guided development should include technical stacks, code patterns, architecture, dependencies, coding conventions, testing, and workflow rules. This ensures AI agents generate implementations aligned with your project requirements.

Yes, you can use this context generation Skill to document an existing technology stack. It assists teams in discovering current code patterns and implementation conventions, facilitating collaborative rule definition through user prompts and review menus.

The best way to enforce coding conventions with AI code generators is defining project rules in a structured project-context.md. This captures implementation standards and best practices, ensuring consistent code quality across the project.

No external dependencies are required for automated context generation. The Skill operates independently using internal scripts, references, and assets to guide users through the collaborative rule definition and documentation process.