Structured game development workflow routing projects through five phases with six specialized agents.
Works with
Covers five workflow phases: Pre-production (brainstorming, brief), Design (GDD, narrative), Technical (architecture, test framework), Production (sprints, stories, code review), and Game Testing (automation, E2E, performance, playtesting)
Supports Unity, Unreal Engine, Godot, and custom engines with phase-specific commands for each stage
Includes six specialized agents (designer, a
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionbmad-gdsExecute the skills CLI command in your project's root directory to begin installation:
Fetches bmad-gds from supercent-io/skills-template and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate bmad-gds. Access via /bmad-gds in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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npx skills add https://github.com/supercent-io/skills-template --skill bmad-gds
Unity · Unreal Engine · Godot · Custom/Other
| Command | Description |
|---|---|
bmad-gds-brainstorm-game |
Facilitate a game brainstorming session with game-specific ideation techniques |
bmad-gds-game-brief |
Create an interactive game brief defining concept and core mechanics |
| Command | Description |
|---|---|
bmad-gds-gdd |
Generate a Game Design Document: mechanics, systems, progression, implementation guidance |
bmad-gds-narrative |
Create narrative documentation: story structure, character arcs, world-building |
| Command | Description |
|---|---|
bmad-gds-project-context |
Generate project-context.md for consistent AI agent coordination |
bmad-gds-game-architecture |
Produce scale-adaptive game architecture: engine, systems, networking, technical design |
bmad-gds-test-framework |
Initialize test framework architecture for Unity, Unreal, or Godot |
bmad-gds-test-design |
Create comprehensive test scenarios covering gameplay, progression, and quality |
| Command | Description |
|---|---|
bmad-gds-sprint-planning |
Generate or update sprint-status.yaml from epic files |
bmad-gds-sprint-status |
View sprint progress, surface risks, get next action recommendation |
bmad-gds-create-story |
Create a dev-ready implementation story |
bmad-gds-dev-story |
Execute a dev story: implement tasks and tests |
bmad-gds-code-review |
QA code review for stories flagged Ready for Review |
bmad-gds-correct-course |
Navigate major in-sprint course corrections |
bmad-gds-retrospective |
Facilitate retrospective after epic completion |
| Command | Description |
|---|---|
bmad-gds-test-automate |
Generate automated game tests for gameplay systems |
bmad-gds-e2e-scaffold |
Scaffold end-to-end testing infrastructure |
bmad-gds-playtest-plan |
Create a structured playtesting plan for user testing sessions |
bmad-gds-performance-test |
Design a performance testing strategy for profiling and optimization |
bmad-gds-test-review |
Review test quality and coverage gaps |
| Command | Description |
|---|---|
bmad-gds-quick-prototype |
Rapid prototyping to validate mechanics without full planning overhead |
bmad-gds-quick-spec |
Quick tech spec for simple, well-defined features or tasks |
bmad-gds-quick-dev |
Flexible rapid implementation for game features |
bmad-gds-document-project |
Analyze and document an existing game project |
| Agent | Role |
|---|---|
game-designer |
Game concept, mechanics, GDD, narrative design, brainstorming |
game-architect |
Technical architecture, system design, project context |
game-dev |
Implementation, dev stories, code review |
game-scrum-master |
Sprint planning, story management, course corrections, retrospectives |
game-qa |
Test framework, test design, automation, E2E, playtest, performance |
game-solo-dev |
Full-scope solo mode: quick prototype, quick spec, quick dev |
bmad-gds-brainstorm-game → ideate game conceptbmad-gds-game-brief → lock in concept and core mechanicsbmad-gds-gdd → produce full Game Design Documentbmad-gds-game-architecture → define technical architecturebmad-gds-sprint-planning → break work into sprints and storiesbmad-gds-dev-story per story → implement featuresbmad-gds-code-review → quality gate before mergebmad-gds-retrospective → continuous improvement after each epic| Action | Command |
|---|---|
| Brainstorm game concept | bmad-gds-brainstorm-game |
| Create game brief | bmad-gds-game-brief |
| Generate GDD | bmad-gds-gdd |
| Define architecture | bmad-gds-game-architecture |
| Plan sprint | bmad-gds-sprint-planning |
| Check sprint status | bmad-gds-sprint-status |
| Create story | bmad-gds-create-story |
| Develop story | bmad-gds-dev-story |
| Quick prototype | bmad-gds-quick-prototype |
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
supercent-io/skills-template
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
Solid pick for teams standardizing on skills: bmad-gds is focused, and the summary matches what you get after install.
Useful defaults in bmad-gds — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
bmad-gds fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: bmad-gds is focused, and the summary matches what you get after install.
bmad-gds has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in bmad-gds — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
bmad-gds has been reliable in day-to-day use. Documentation quality is above average for community skills.
bmad-gds is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: bmad-gds is the kind of skill you can hand to a new teammate without a long onboarding doc.
bmad-gds is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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