MCPInstall

gds-generate-project-context

Create optimized project-context.md for AI agent consistency. Use when the user says "project context" or "generate context"

Installs
43
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/bmad-code-org/bmad-module-game-dev-studio --skill gds-generate-project-context
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads gds-generate-project-context automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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.

FAQ

What does the gds-generate-project-context skill do?

Create optimized project-context.md for AI agent consistency. Use when the user says "project context" or "generate context"

How do I install gds-generate-project-context?

Run npx skills add https://github.com/bmad-code-org/bmad-module-game-dev-studio --skill gds-generate-project-context in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/gds-generate-project-context/ (personal) or .claude/skills/gds-generate-project-context/ (project).

Which AI agents can use gds-generate-project-context?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is gds-generate-project-context safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains gds-generate-project-context?

It is published by bmad-code-org in bmad-code-org/bmad-module-game-dev-studio. It has 43 recorded installs.

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