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performance-optimization

5.5

by majiayu000

197Favorites
71Upvotes
0Downvotes

Performance optimization playbook (measure → diagnose → fix → verify) for this repo (React + R3F + Three.js + Vite). Use when asked to improve FPS, reduce jank, lower draw calls, optimize loading/bundle size, or investigate CPU/GPU/memory bottlenecks.

performance

5.5

Rating

0

Installs

Frontend Development

Category

Quick Review

Well-structured performance optimization skill with a clear 5-step workflow (measure → classify → fix → verify) and practical tactics for React/R3F/Three.js stacks. The description accurately captures the scope (FPS, jank, draw calls, bundle size). Task knowledge is solid with specific techniques (instancing, DPR capping, memoization, shadow optimization). Structure is clean with logical sections and appropriate references to external files. Novelty is moderate: while performance optimization benefits from systematic approaches, the tactics listed are fairly standard for 3D web apps. A CLI agent could follow this playbook effectively, though the most impactful wins (profiling interpretation, surgical fixes) still require developer judgment. Overall a practical, well-documented skill that reduces token overhead for common performance scenarios.

LLM Signals

Description coverage8
Task knowledge8
Structure8
Novelty6

GitHub Signals

49
7
1
1
Last commit 0 days ago

Publisher

majiayu000

majiayu000

Skill Author

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majiayu000

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