bmad-gds

supercent-io/skills-template · updated May 12, 2026

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$npx skills add https://github.com/supercent-io/skills-template --skill bmad-gds
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summary

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
skill.md

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

  1. Run bmad-gds-brainstorm-game → ideate game concept
  2. Run bmad-gds-game-brief → lock in concept and core mechanics
  3. Run bmad-gds-gdd → produce full Game Design Document
  4. Run bmad-gds-game-architecture → define technical architecture
  5. Run bmad-gds-sprint-planning → break work into sprints and stories
  6. Run bmad-gds-dev-story per story → implement features
  7. Run bmad-gds-code-review → quality gate before merge
  8. 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

How to use bmad-gds on Cursor

AI-first code editor with Composer

1

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
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/supercent-io/skills-template --skill bmad-gds

The skills CLI fetches bmad-gds from GitHub repository supercent-io/skills-template and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/bmad-gds

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

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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. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 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

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.562 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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