| name | bmad-generate-project-context |
| description | Create project-context.md with AI rules. Use when the user says "generate project context" or "create project context" |
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.
Conventions
- Bare paths (e.g.
steps/step-01-discover.md) resolve from the skill root.
{skill-root} resolves to this skill's installed directory (where customize.toml lives).
{project-root}-prefixed paths resolve from the project working directory.
{skill-name} resolves to the skill directory's basename.
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.
On Activation
Step 1: Resolve the Workflow Block
Run: python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow
If the script fails, resolve the workflow block yourself by reading these three files in base → team → user order and applying the same structural merge rules as the resolver: