gds-generate-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 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.