bmad-generate-project-context

To create a project context file, this skill generates a lean project-context.md that codifies your technology stack, language-framework rules, testing standards, and development workflows to standardize AI agent behavior.

An AI-ready project context is a structured markdown file that defines executable engineering standards and workflow rules. It is needed to guide automated code generation and ensure consistent, outcome-focused outputs from AI agents.

You codify engineering standards for an LLM coding agent by defining your core technical rules, patterns, and quality standards in a project-context.md file, which this skill generates by ingesting project discovery inputs.

Yes, this skill identifies your project's specific technology stack and language-framework rules to populate a project-context.md with actionable AI guidelines tailored to your development workflow and testing standards.

The best way to structure a project-context.md for LLM optimization is using front-matter updated sections for technology stack, rules, and workflows, which this skill produces to ensure lean, actionable context for code generation.

Yes, this project context generation works without external dependencies, relying solely on ingesting discovery inputs from your BPM steps to populate actionable rules and templates for AI agents.