# 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.

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## 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.

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## INITIALIZATION

### Configuration Loading

Load config from `{project-root}/.rcode/config.json` and resolve:

- `project_name`, `output_folder`, `user_name`
- `communication_language`, `document_output_language`, `user_skill_level`
- `date` as system-generated current datetime
- ✅ 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}`

### Paths

- `output_file` = `{output_folder}/project-context.md`

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## EXECUTION

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.
