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bmad-gds

AI-driven Game Development Studio using BMAD methodology. Routes game projects through Pre-production, Design, Architecture, Production, and Game Testing phases with 6 specialized agents. Supports Unity, Unreal Engine, Godot, and custom engines.

Install with Tessl CLI

npx tessl i github:supercent-io/skills-template --skill bmad-gds
What are skills?

66

2.08x

Quality

48%

Does it follow best practices?

Impact

96%

2.08x

Average score across 3 eval scenarios

Optimize this skill with Tessl

npx tessl skill review --optimize ./.agent-skills/bmad-gds/SKILL.md
SKILL.md
Review
Evals

Evaluation results

100%

13%

StarForge — New Game Project Setup

Project initialization and module configuration

Criteria
Without context
With context

module.yaml exists

100%

100%

project_name key

80%

100%

game_dev_experience key

50%

100%

planning_artifacts path

100%

100%

implementation_artifacts path

100%

100%

project_knowledge path

70%

100%

primary_platform key

70%

100%

planning-artifacts folder

100%

100%

implementation-artifacts folder

100%

100%

docs folder

100%

100%

Without context: $0.1631 · 44s · 14 turns · 16 in / 2,361 out tokens

With context: $0.3936 · 1m 1s · 25 turns · 1,981 in / 3,529 out tokens

100%

56%

Verdant Realms — Design Documentation Suite

Design phase document generation and artifact locations

Criteria
Without context
With context

GDD in planning-artifacts

0%

100%

Architecture in planning-artifacts

0%

100%

GDD covers mechanics

100%

100%

GDD covers progression

100%

100%

Architecture covers engine

100%

100%

Architecture covers systems

100%

100%

bmad-gds-gdd command referenced

0%

100%

bmad-gds-game-architecture command referenced

0%

100%

game-designer agent for GDD

100%

100%

game-architect agent for architecture

0%

100%

Without context: $0.4696 · 4m 11s · 13 turns · 17 in / 12,007 out tokens

With context: $0.9647 · 5m 43s · 26 turns · 33 in / 18,058 out tokens

90%

82%

NeonTower — Sprint 1 Kickoff

Sprint planning and development story lifecycle

Criteria
Without context
With context

sprint-status.yaml in impl-artifacts

0%

100%

story file in impl-artifacts

0%

100%

sprint-status.yaml is valid YAML

100%

100%

bmad-gds-sprint-planning referenced

0%

100%

bmad-gds-create-story referenced

0%

100%

bmad-gds-dev-story referenced

0%

100%

Correct cycle order

0%

100%

game-scrum-master for sprint planning

0%

100%

game-dev for dev story

0%

100%

bmad-gds-code-review referenced

0%

0%

Without context: $0.3286 · 2m 7s · 14 turns · 19 in / 7,186 out tokens

With context: $0.6941 · 3m 12s · 27 turns · 488 in / 10,883 out tokens

Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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