# Unity Ecs Patterns

> Master Unity ECS (Entity Component System) with DOTS, Jobs, and Burst for high-performance game development. Use when building data-oriented games, optimizing performance, or working with large ent... Use when this capability is needed.

- Skill: `tomevault-io/unity-ecs-patterns-2` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/unity-ecs-patterns-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/unity-ecs-patterns-2/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Web & Frontend
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/unity-ecs-patterns-2

---


# Unity ECS Patterns

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

## Use this skill when

- 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

## Do not use this skill when

- The task is unrelated to unity ecs patterns
- You need a different domain or tool outside this scope

## Instructions

- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open `resources/implementation-playbook.md`.

## Resources

- `resources/implementation-playbook.md` for detailed patterns and examples.

---

<!-- AGI-INTEGRATION-START -->

## AGI Framework Integration

> **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)**
> Original source: [antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills)

### Memory-First Protocol

Retrieve game design decisions, performance benchmarks, and engine configuration. Cache asset pipeline settings and build configurations.

```bash
# Check for prior game development context before starting
python3 execution/memory_manager.py auto --query "game architecture and engine patterns for Unity Ecs Patterns"
```

### Storing Results

After completing work, store game development decisions for future sessions:

```bash
python3 execution/memory_manager.py store \
  --content "Game: ECS architecture with 60fps target, spatial partitioning for collision, asset pipeline with LOD" \
  --type technical --project <project> \
  --tags unity-ecs-patterns gaming
```

### Multi-Agent Collaboration

Share engine decisions and performance budgets with art/design agents and QA agents.

```bash
python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Game feature implemented — performance profiled, asset pipeline updated, QA test plan created" \
  --project <project>
```

<!-- AGI-INTEGRATION-END -->

---
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<!-- tomevault:4.0:skill_md:2026-04-13 -->