unity-ecs-patterns

wshobson/agents · updated May 30, 2026

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$npx skills add https://github.com/wshobson/agents --skill unity-ecs-patterns
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summary

High-performance game development with Unity's data-oriented Entity Component System, Jobs, and Burst Compiler.

  • Covers core ECS patterns including components, systems, entities, and archetypes, with practical examples for movement, spawning, damage, and inventory management
  • Demonstrates both simple foreach queries and explicit job scheduling with IJobEntity and IJobChunk for fine-grained parallelization control
  • Includes baking workflows to convert GameObjects to entities, singleton m
skill.md

Unity ECS Patterns

Production patterns for Unity's Data-Oriented Technology Stack (DOTS) including Entity Component System, Job System, and Burst Compiler.

When to Use This Skill

  • Building high-performance Unity games
  • Managing thousands of entities efficiently
  • Implementing data-oriented game systems
  • Optimizing CPU-bound game logic
  • Converting OOP game code to ECS
  • Using Jobs and Burst for parallelization

Core Concepts

1. ECS vs OOP

Aspect Traditional OOP ECS/DOTS
Data layout Object-oriented Data-oriented
Memory Scattered Contiguous
Processing Per-object Batched
Scaling Poor with count Linear scaling
Best for Complex behaviors Mass simulation

2. DOTS Components

Entity: Lightweight ID (no data)
Component: Pure data (no behavior)
System: Logic that processes components
World: Container for entities
Archetype: Unique combination of components
Chunk: Memory block for same-archetype entities

Patterns

Pattern 1: Basic ECS Setup

using Unity.Entities;
using Unity.Mathematics;
using Unity.Transforms;
using Unity.Burst;
using Unity.Collections;

// Component: Pure data, no methods
public struct Speed : IComponentData
{
    public float Value;
}

public struct Health : IComponentData
{
    public float Current;
    public float Max;
}

public struct Target : IComponentData
{
    public Entity Value;
}

// Tag component (zero-size marker)
public struct EnemyTag : IComponentData { }
public struct PlayerTag : IComponentData { }

// Buffer component (variable-size array)
[InternalBufferCapacity(8)]
public struct InventoryItem : IBufferElementData
{
    public int ItemId;
    public int Quantity;
}

// Shared component (grouped entities)
public struct TeamId : ISharedComponentData
{
    public int Value;
}

Pattern 2: Systems with ISystem (Recommended)

using Unity.Entities;
using Unity.Transforms;
using Unity.Mathematics;
using Unity.Burst;

// ISystem: Unmanaged, Burst-compatible, highest performance
[BurstCompile]
public partial struct MovementSystem : ISystem
{
    [BurstCompile]
    public void OnCreate(ref SystemState state)
    {
        // Require components before system runs
        state.RequireForUpdate<Speed>();
    }

    [BurstCompile]
    public void OnUpdate(ref SystemState state)
    {
        float deltaTime = SystemAPI.Time.DeltaTime;

        // Simple foreach - auto-generates job
        foreach (var (transform, speed) in
            SystemAPI.Query<RefRW<LocalTransform>, RefRO<Speed>>())
        {
            transform.ValueRW.Position +=
                new float3(0, 0, speed.ValueRO.Value * deltaTime);
        }
    }

    [BurstCompile]
    public void OnDestroy(ref SystemState state) { }
}

// With explicit job for more control
[BurstCompile]
public partial struct MovementJobSystem : ISystem
{
    [BurstCompile]
    public void OnUpdate(ref SystemState state)
    {
        var job = new MoveJob
        {
            DeltaTime = SystemAPI.Time.DeltaTime
        };

        state.Dependency = job.ScheduleParallel(state.Dependency);
    }
}

[BurstCompile]
public partial struct MoveJob : IJobEntity
{
    public float DeltaTime;

    void Execute(ref LocalTransform transform, in Speed speed)
    {
        transform.Position += new float3(0, 0, speed.Value * DeltaTime);
    }
}

Pattern 3: Entity Queries

[BurstCompile]
public partial struct QueryExamplesSystem : ISystem
{
    private EntityQuery _enemyQuery;

    public void OnCreate(ref SystemState state)
    {
        // Build query manually for complex cases
        _enemyQuery = new EntityQueryBuilder(Allocator.Temp)
            .WithAll<EnemyTag, Health, LocalTransform>()
            .WithNone<Dead>()
            .WithOptions(EntityQueryOptions.FilterWriteGroup)
            .Build(ref state);
    }

    [BurstCompile]
    public void OnUpdate(ref SystemState state)
    {
        // SystemAPI.Query - simplest approach
        foreach (var (health, entity
how to use unity-ecs-patterns

How to use unity-ecs-patterns 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 unity-ecs-patterns
2

Execute installation command

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

$npx skills add https://github.com/wshobson/agents --skill unity-ecs-patterns

The skills CLI fetches unity-ecs-patterns from GitHub repository wshobson/agents 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/unity-ecs-patterns

Reload or restart Cursor to activate unity-ecs-patterns. Access the skill through slash commands (e.g., /unity-ecs-patterns) 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)
  • No comments yet — start the thread.
general reviews

Ratings

4.767 reviews
  • Fatima Brown· Dec 28, 2024

    I recommend unity-ecs-patterns for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Shikha Mishra· Dec 24, 2024

    Useful defaults in unity-ecs-patterns — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Olivia Yang· Dec 24, 2024

    Useful defaults in unity-ecs-patterns — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Valentina Mehta· Dec 20, 2024

    Solid pick for teams standardizing on skills: unity-ecs-patterns is focused, and the summary matches what you get after install.

  • Omar Torres· Dec 12, 2024

    Registry listing for unity-ecs-patterns matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Mateo Gill· Dec 8, 2024

    unity-ecs-patterns has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Mateo Patel· Dec 4, 2024

    unity-ecs-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Mateo Desai· Nov 23, 2024

    Registry listing for unity-ecs-patterns matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Noah Harris· Nov 19, 2024

    Keeps context tight: unity-ecs-patterns is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Rahul Santra· Nov 15, 2024

    unity-ecs-patterns is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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