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Game developer

Skill PIXARTSeu/Synapse/.agents/skills/game-developer

Use when building game systems, implementing Unity/Unreal Engine features, or optimizing game performance. Invoke to implement ECS architecture, configure physics systems and colliders, set up multiplayer networking with lag compensation, optimize frame rates to 60+ FPS targets, develop shaders, or apply game design patterns such as object pooling and state machines. Trigger keywords: Unity, Unreal Engine, game development, ECS architecture, game physics, multiplayer networking, game optimization, shader programming, game AI.From its SKILL.md

Install
npx -y skills add PIXARTSeu/Synapse --skill game-developer

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 8 stars8 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its file declares

Copied from the file, not written here

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

5.5 KB, ~1.0k tokens by cl100k_base, as published. Nobody here has run it

Game Developer

Core Workflow

  1. Analyze requirements — Identify genre, platforms, performance targets, multiplayer needs
  2. Design architecture — Plan ECS/component systems, optimize for target platforms
  3. Implement — Build core mechanics, graphics, physics, AI, networking
  4. Optimize — Profile and optimize for 60+ FPS, minimize memory/battery usage
    • Validation checkpoint: Run Unity Profiler or Unreal Insights; verify frame time ≤16 ms (60 FPS) before proceeding. Identify and resolve CPU/GPU bottlenecks iteratively.
  5. Test — Cross-platform testing, performance validation, multiplayer stress tests
    • Validation checkpoint: Confirm stable frame rate under stress load; run multiplayer latency/desync tests before shipping.

Reference Guide

Load detailed guidance based on context:

TopicReferenceLoad When
Unity Developmentreferences/unity-patterns.mdUnity C#, MonoBehaviour, Scriptable Objects
Unreal Developmentreferences/unreal-cpp.mdUnreal C++, Blueprints, Actor components
ECS & Patternsreferences/ecs-patterns.mdEntity Component System, game patterns
Performancereferences/performance-optimization.mdFPS optimization, profiling, memory
Networkingreferences/multiplayer-networking.mdMultiplayer, client-server, lag compensation

Constraints

MUST DO

  • Target 60+ FPS on all platforms
  • Use object pooling for frequent instantiation
  • Implement LOD systems for optimization
  • Profile performance regularly (CPU, GPU, memory)
  • Use async loading for resources
  • Implement proper state machines for game logic
  • Cache component references (avoid GetComponent in Update)
  • Use delta time for frame-independent movement

MUST NOT DO

  • Instantiate/Destroy in tight loops or Update()
  • Skip profiling and performance testing
  • Use string comparisons for tags (use CompareTag)
  • Allocate memory in Update/FixedUpdate loops
  • Ignore platform-specific constraints (mobile, console)
  • Use Find methods in Update loops
  • Hardcode game values (use ScriptableObjects/data files)

Output Templates

When implementing game features, provide:

  1. Core system implementation (ECS component, MonoBehaviour, or Actor)
  2. Associated data structures (ScriptableObjects, structs, configs)
  3. Performance considerations and optimizations
  4. Brief explanation of architecture decisions

Key Code Patterns

Object Pooling (Unity C#)

public class ObjectPool<T> where T : Component
{
    private readonly Queue<T> _pool = new();
    private readonly T _prefab;
    private readonly Transform _parent;

    public ObjectPool(T prefab, int initialSize, Transform parent = null)
    {
        _prefab = prefab;
        _parent = parent;
        for (int i = 0; i < initialSize; i++)
            Release(Create());
    }

    public T Get()
    {
        T obj = _pool.Count > 0 ? _pool.Dequeue() : Create();
        obj.gameObject.SetActive(true);
        return obj;
    }

    public void Release(T obj)
    {
        obj.gameObject.SetActive(false);
        _pool.Enqueue(obj);
    }

    private T Create() => Object.Instantiate(_prefab, _parent);
}

Component Caching (Unity C#)

public class PlayerController : MonoBehaviour
{
    // Cache all component references in Awake — never call GetComponent in Update
    private Rigidbody _rb;
    private Animator _animator;
    private PlayerInput _input;

    private void Awake()
    {
        _rb = GetComponent<Rigidbody>();
        _animator = GetComponent<Animator>();
        _input = GetComponent<PlayerInput>();
    }

    private void FixedUpdate()
    {
        // Use cached references; use deltaTime for frame-independence
        Vector3 move = _input.MoveDirection * (speed * Time.fixedDeltaTime);
        _rb.MovePosition(_rb.position + move);
    }
}

State Machine (Unity C#)

public abstract class State
{
    public abstract void Enter();
    public abstract void Tick(float deltaTime);
    public abstract void Exit();
}

public class StateMachine
{
    private State _current;

    public void TransitionTo(State next)
    {
        _current?.Exit();
        _current = next;
        _current.Enter();
    }

    public void Tick(float deltaTime) => _current?.Tick(deltaTime);
}

// Usage example
public class IdleState : State
{
    private readonly Animator _animator;
    public IdleState(Animator animator) => _animator = animator;
    public override void Enter() => _animator.SetTrigger("Idle");
    public override void Tick(float deltaTime) { /* poll transitions */ }
    public override void Exit() { }
}

What ships with it: 5 files

47.4 KB alongside SKILL.md

Gives 0 of the 12 instructions most performance cost skills give in ~1.0k tokens

Counted across 797 of the 1,117 authors here whose files we hold, read 2026-09-06

  • Check for product marketing context firstin 46 of 797, across 20 files
  • Measure before optimizingin 31 of 797, across 25 files
  • Profile first to identify the actual bottleneckin 23 of 797, across 22 files
  • Verify your robots.txt allows AI crawlersin 21 of 797, across 12 files
  • Import directly and avoid barrel filesin 19 of 797, across 15 files
  • Spawn all runs in the same turnin 18 of 797, across 11 files
  • Write a draft of the skillin 17 of 797, across 10 files
  • Understand the user's intentin 17 of 797, across 10 files
  • Use React.cache for per-request deduplicationin 16 of 797, across 11 files
  • Profile before optimizingin 16 of 797, across 14 files
  • Include specific numbers with sourcesin 15 of 797, across 8 files
  • Add lazy loading to below-fold imagesin 15 of 797, across 10 files

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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