performance-optimization
仓库创建 2026年2月16日最近提交 21 小时前SkillHot 收录 20 天前
▸ 精选理由
以数据为导向避免盲目优化,聚焦真实影响点。
这个 Skill 做什么
基于测量与剖析定位瓶颈并有针对性地优化应用性能。
先测量再优化:通过 profiling 找到前端、后端或数据库的真实瓶颈,针对性修复后再复测,避免盲目优化。在需要达成性能指标、怀疑回归或要改善 Core Web Vitals、加载时间和 N+1 问题时使用。强调以数据为驱动,只优化对用户体验有实际影响的瓶颈。
▸ 展开 SKILL.md 英文原文
Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks.
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帮我安装这个 skill:https://raw.githubusercontent.com/addyosmani/agent-skills/main/skills/performance-optimization/SKILL.md或 curl 直取 SKILL.md
curl -fsSL "https://raw.githubusercontent.com/addyosmani/agent-skills/main/skills/performance-optimization/SKILL.md"SKILL.MD 节选查看完整文件 ↗
# Performance Optimization ## Overview Measure before optimizing. Performance work without measurement is guessing — and guessing leads to premature optimization that adds complexity without improving what matters. Profile first, identify the actual bottleneck, fix it, measure again. Optimize only what measurements prove matters. ## When to Use - Performance requirements exist in the spec (load time budgets, response time SLAs) - Users or monitoring report slow behavior - Core Web Vitals scores are below thresholds - You suspect a change introduced a regression - Building features that handle large datasets or high traffic **When NOT to use:** Don't optimize before you have evidence of
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