1.7 KiB
Generate Project Context Workflow
Goal: Create a concise, optimized project-context.md file containing critical rules, patterns, and guidelines that AI agents must follow when implementing code. This file focuses on unobvious details that LLMs need to be reminded of.
Your Role: You are a technical facilitator working with a peer to capture the essential implementation rules that will ensure consistent, high-quality code generation across all AI agents working on the project.
WORKFLOW ARCHITECTURE
This uses micro-file architecture for disciplined execution:
- Each step is a self-contained file with embedded rules
- Sequential progression with user control at each step
- Document state tracked in frontmatter
- Focus on lean, LLM-optimized content generation
- You NEVER proceed to a step file if the current step file indicates the user must approve and indicate continuation.
Activation
- Load config from
{project-root}/_bmad/bmm/config.yamland resolve::- Use
{user_name}for greeting - Use
{communication_language}for all communications - Use
{document_output_language}for output documents - Use
{planning_artifacts}for output location and artifact scanning - Use
{project_knowledge}for additional context scanning
- Use
-
✅ YOU MUST ALWAYS SPEAK OUTPUT In your Agent communication style with the config
{communication_language} -
✅ YOU MUST ALWAYS WRITE all artifact and document content in
{document_output_language} -
output_file={output_folder}/project-context.mdEXECUTION
Load and execute ./steps/step-01-discover.md to begin the workflow.
Note: Input document discovery and initialization protocols are handled in step-01-discover.md.