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Unity Scene Optimizer

skill-sherererlock-unity-dev-claudecode-unity-scene-optimizer · by sherererlock

Analyzes scenes for performance bottlenecks (draw calls, batching, textures, GameObjects). Use when optimizing scenes or investigating performance issues.

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Install

$ agentstack add skill-sherererlock-unity-dev-claudecode-unity-scene-optimizer

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Unity Scene Optimizer

Analyzes Unity scenes and provides performance optimization recommendations for rendering, physics, memory, and platform-specific concerns.

What This Skill Analyzes

1. Rendering Performance

Analyzes draw calls (target: <100 mobile, <2000 desktop), identifies batching opportunities, recommends material consolidation and static batching.

2. Texture Optimization

Reviews compression formats (BC7/ASTC), mipmap usage, texture atlasing, and platform-specific import settings.

3. GameObject Hierarchy

Targets: <500 GameObjects mobile, <2000 desktop. Identifies deep nesting, recommends object pooling and LOD groups.

4. Lighting and Shadows

Recommends baked lighting over realtime (1-2 lights mobile, 3-4 desktop), minimal shadow-casting lights.

5. Physics Optimization

Analyzes Rigidbody count, collider complexity, collision matrix configuration. Recommends simple colliders over Mesh colliders.

6. Mobile-Specific

Platform targets: 60 FPS iOS (iPhone 12+), 30-60 FPS Android. See [mobile-checklist.md](mobile-checklist.md) for complete requirements.

Optimization Workflow

  1. Measure: Frame Debugger, Stats, Profiler metrics
  2. Identify: GPU/CPU/Memory/Physics bottlenecks
  3. Apply: Quick wins (static batching, compression) → Medium (atlases, pooling, LOD) → Major (hierarchy refactor, culling)
  4. Validate: Compare before/after metrics

See [optimization-workflow.md](optimization-workflow.md) for detailed steps and timelines.

Platform-Specific Targets

| Platform | Draw Calls | Triangles | Texture Memory | Lights | |----------|-----------|-----------|----------------|--------| | Mobile Low | <50 | <20k | <100MB | 1 | | Mobile Mid | <100 | <50k | <250MB | 1-2 | | Mobile High | <150 | <100k | <500MB | 2-3 | | PC Low | <500 | <200k | <1GB | 3-4 | | PC Mid | <1000 | <500k | <2GB | 4-6 | | PC High | <2000 | <1M | <4GB | 6-8 | | Console | <1000 | <800k | <3GB | 4-6 |

Tools Reference

Frame Debugger, Profiler, Stats Window, Memory Profiler. See [tools-reference.md](tools-reference.md) for usage and commands.

Output Format

Provides: Current metrics, bottleneck identification, prioritized recommendations, performance impact estimates, implementation steps.

When to Use vs Other Components

Use this Skill when: Analyzing scene performance, identifying bottlenecks, or getting optimization recommendations

Use @unity-performance agent when: Implementing complex optimizations, profiling at runtime, or troubleshooting specific performance issues

Use @unity-architect agent when: Redesigning scene architecture, implementing object pooling systems, or planning large-scale optimizations

Use /unity:optimize-scene command when: Running comprehensive scene analysis with detailed reports

Related Skills

  • unity-script-validator: For script-level performance issues
  • unity-template-generator: For optimized component templates

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.