- name
- gds-generate-project-context
- description
- Create optimized project-context.md for AI agent consistency. Use when the user says "project context" or "generate 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 game 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 game code generation across all AI agents working on the project.
---
## Conventions
- Bare paths (e.g. `template.md`) resolve from the skill root.
- `{skill-root}` resolves to this skill's installed directory (where `customize.toml` lives).
- `{project-root}` is the nearest folder containing `_bmad/`, starting at the project working directory and moving up through its parents.
- `{skill-name}` resolves to the skill directory's basename.
## On Activation
### Step 1: Resolve the Workflow Block
Run: `uv run {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --project-root {project-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:
1. `{skill-root}/customize.toml` — defaults
2. `{project-root}/_bmad/custom/{skill-name}.toml` — team overrides
3. `{project-root}/_bmad/custom/{skill-name}.user.toml` — personal overrides
Any missing file is skipped. Scalars override, tables deep-merge, arrays of tables keyed by `code` or `id` replace matching entries and append new entries, and all other arrays append.
### Step 2: Execute Prepend Steps
Execute each entry in `{workflow.activation_steps_prepend}` in order before proceeding.
### Step 3: Load Persistent Facts
Treat every entry in `{workflow.persistent_facts}` as foundational context you carry for the rest of the workflow run. Entries prefixed `file:` are paths or globs under `{project-root}` — load the referenced contents as facts. All other entries are facts verbatim.
### Step 4: Load Config
Load config from `{project-root}/_bmad/gds/config.yaml` and resolve:
- `user_name`
- `communication_language`
- `output_folder`
### Step 5: Greet the User
Greet `{user_name}`, speaking in `{communication_language}`.
### Step 6: Execute Append Steps
Execute each entry in `{workflow.activation_steps_append}` in order.
Activation is complete. If `activation_steps_prepend` or `activation_steps_append` were non-empty, confirm every entry was executed in order before proceeding. Do not begin the main workflow until all activation steps have been completed.
## 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.
### Paths
- `installed_path` = `{skill_root}`
- `template_path` = `{installed_path}/project-context-template.md`
- `output_file` = `{output_folder}/project-context.md`
---
## 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.
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