ab5dc7e568
Clean up unused BMAD workflow, agent, and command files across all IDE configurations (.agent, .clinerules, .cursor, .gemini, .github, .kilocode, .opencode) and internal module files (_bmad/bmb, _bmad/bmm). Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
44 lines
1.6 KiB
Markdown
44 lines
1.6 KiB
Markdown
# Generate Project Context Workflow
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**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.
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**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.
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---
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## WORKFLOW ARCHITECTURE
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This uses **micro-file architecture** for disciplined execution:
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- Each step is a self-contained file with embedded rules
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- Sequential progression with user control at each step
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- Document state tracked in frontmatter
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- Focus on lean, LLM-optimized content generation
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- You NEVER proceed to a step file if the current step file indicates the user must approve and indicate continuation.
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---
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## INITIALIZATION
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### Configuration Loading
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Load config from `{project-root}/_bmad/bmm/config.yaml` and resolve:
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- `project_name`, `output_folder`, `user_name`
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- `communication_language`, `document_output_language`, `user_skill_level`
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- `date` as system-generated current datetime
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- ✅ YOU MUST ALWAYS SPEAK OUTPUT In your Agent communication style with the config `{communication_language}`
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- ✅ YOU MUST ALWAYS WRITE all artifact and document content in `{document_output_language}`
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### Paths
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- `output_file` = `{output_folder}/project-context.md`
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---
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## EXECUTION
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Load and execute `./steps/step-01-discover.md` to begin the workflow.
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**Note:** Input document discovery and initialization protocols are handled in step-01-discover.md.
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