agentleFS
xenitV1xenitV1/Antigravity-Workflows/skills/game-development/SKILL.md

game-development

Skill130 starsChanged 10 months agoMITView on GitHub

Game development orchestrator. Routes to platform-specific skills based on project needs.

We split this skill into the rules it gives an agent

2 rules. 2 are common, 0 are distinctive, and 0 are very specific to this project.

  • 2

    Common

    Most of the 8 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Common:

    Every game, regardless of platform, follows this pattern:

    line 52
  2. Common:

    Decision Rule: Start with State Machine. Add ECS only when performance demands.

    line 78

“Common” is measured: kept by at least 6 in 10 of the 8 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Game Development

Orchestrator skill that provides core principles and routes to specialized sub-skills.


When to Use This Skill

You are working on a game development project. This skill teaches the PRINCIPLES of game development and directs you to the right sub-skill based on context.


Sub-Skill Routing

Platform Selection

If the game targets...Use Sub-Skill
Web browsers (HTML5, WebGL)game-development/web-games
Mobile (iOS, Android)game-development/mobile-games
PC (Steam, Desktop)game-development/pc-games
VR/AR headsetsgame-development/vr-ar

Dimension Selection

If the game is...Use Sub-Skill
2D (sprites, tilemaps)game-development/2d-games
3D (meshes, shaders)game-development/3d-games

Specialty Areas

If you need...Use Sub-Skill
GDD, balancing, player psychologygame-development/game-design
Multiplayer, networkinggame-development/multiplayer
Visual style, asset pipeline, animationgame-development/game-art
Sound design, music, adaptive audiogame-development/game-audio

Core Principles (All Platforms)

1. The Game Loop

Every game, regardless of platform, follows this pattern:

INPUT  → Read player actions
UPDATE → Process game logic (fixed timestep)
RENDER → Draw the frame (interpolated)

Fixed Timestep Rule:

  • Physics/logic: Fixed rate (e.g., 50Hz)
  • Rendering: As fast as possible
  • Interpolate between states for smooth visuals

2. Pattern Selection Matrix

PatternUse WhenExample
State Machine3-5 discrete statesPlayer: Idle→Walk→Jump
Object PoolingFrequent spawn/destroyBullets, particles
Observer/EventsCross-system communicationHealth→UI updates
ECSThousands of similar entitiesRTS units, particles
CommandUndo, replay, networkingInput recording
Behavior TreeComplex AI decisionsEnemy AI

Decision Rule: Start with State Machine. Add ECS only when performance demands.


3. Input Abstraction

Abstract input into ACTIONS, not raw keys:

"jump"  → Space, Gamepad A, Touch tap
"move"  → WASD, Left stick, Virtual joystick

Why: Enables multi-platform, rebindable controls.


4. Performance Budget (60 FPS = 16.67ms)

SystemBudget
Input1ms
Physics3ms
AI2ms
Game Logic4ms
Rendering5ms
Buffer1.67ms

Optimization Priority:

  1. Algorithm (O(n²) → O(n log n))
  2. Batching (reduce draw calls)
  3. Pooling (avoid GC spikes)
  4. LOD (detail by distance)
  5. Culling (skip invisible)

5. AI Selection by Complexity

AI TypeComplexityUse When
FSMSimple3-5 states, predictable behavior
Behavior TreeMediumModular, designer-friendly
GOAPHighEmergent, planning-based
Utility AIHighScoring-based decisions

6. Collision Strategy

TypeBest For
AABBRectangles, fast checks
CircleRound objects, cheap
Spatial HashMany similar-sized objects
QuadtreeLarge worlds, varying sizes

Anti-Patterns (Universal)

Don'tDo
Update everything every frameUse events, dirty flags
Create objects in hot loopsObject pooling
Cache nothingCache references
Optimize without profilingProfile first
Mix input with logicAbstract input layer

Routing Examples

Example 1: "I want to make a browser-based 2D platformer"

→ Start with game-development/web-games for framework selection → Then game-development/2d-games for sprite/tilemap patterns → Reference game-development/game-design for level design

Example 2: "Mobile puzzle game for iOS and Android"

→ Start with game-development/mobile-games for touch input and stores → Use game-development/game-design for puzzle balancing

Example 3: "Multiplayer VR shooter"

→ game-development/vr-ar for comfort and immersion → game-development/3d-games for rendering → game-development/multiplayer for networking


Remember: Great games come from iteration, not perfection. Prototype fast, then polish.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.