bmad-gds▌
supercent-io/skills-template · updated May 12, 2026
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Structured game development workflow routing projects through five phases with six specialized agents.
- ›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
bmad-gds - BMAD Game Development Studio
When to use this skill
- Starting a new game project and need a structured concept → production workflow
- Creating a Game Design Document (GDD), narrative design, or technical architecture
- Managing sprints and dev stories for a game team
- Setting up test frameworks for Unity, Unreal Engine, or Godot projects
- Quick prototyping or rapid feature work without full planning overhead
- Reviewing code or running retrospectives after development epics
Installation
npx skills add https://github.com/supercent-io/skills-template --skill bmad-gds
Supported Engines
Unity · Unreal Engine · Godot · Custom/Other
BMAD-GDS Workflow Commands
Phase 1 — Pre-production
| 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 |
Phase 2 — Design
| 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 |
Phase 3 — Technical
| 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 |
Phase 4 — Production
| 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 |
Game Testing
| 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 |
Quick / Anytime
| 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 |
Specialized Agents
| 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 |
Typical Workflow
- Run
bmad-gds-brainstorm-game→ ideate game concept - Run
bmad-gds-game-brief→ lock in concept and core mechanics - Run
bmad-gds-gdd→ produce full Game Design Document - Run
bmad-gds-game-architecture→ define technical architecture - Run
bmad-gds-sprint-planning→ break work into sprints and stories - Run
bmad-gds-dev-storyper story → implement features - Run
bmad-gds-code-review→ quality gate before merge - Run
bmad-gds-retrospective→ continuous improvement after each epic
Quick Reference
| 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 |
How to use bmad-gds on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add bmad-gds
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches bmad-gds from GitHub repository supercent-io/skills-template and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate bmad-gds. Access the skill through slash commands (e.g., /bmad-gds) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
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
Competitive Analysis
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
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ 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.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★62 reviews- ★★★★★Ishan Bansal· Dec 28, 2024
Solid pick for teams standardizing on skills: bmad-gds is focused, and the summary matches what you get after install.
- ★★★★★Omar Srinivasan· Dec 20, 2024
Useful defaults in bmad-gds — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Ishan Menon· Dec 20, 2024
bmad-gds fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Pratham Ware· Dec 16, 2024
Solid pick for teams standardizing on skills: bmad-gds is focused, and the summary matches what you get after install.
- ★★★★★Ira Srinivasan· Dec 16, 2024
bmad-gds has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Chaitanya Patil· Dec 8, 2024
Useful defaults in bmad-gds — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Nikhil Khanna· Dec 8, 2024
bmad-gds has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Chinedu Johnson· Dec 4, 2024
bmad-gds is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Benjamin Harris· Dec 4, 2024
Keeps context tight: bmad-gds is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Piyush G· Nov 27, 2024
bmad-gds is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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