ln-31-performance-optimizer
仓库创建 2025年10月24日最近提交 3 天前SkillHot 收录 18 小时前
▸ 精选理由
侧重可比证据与保持正确性,适合解决真实瓶颈问题。
▸ 风险提示
需访问运行环境与性能数据,实验可能影响线上服务。
这个 Skill 做什么
通过分析与对照实验定位并优化已测量的延迟、吞吐或资源瓶颈。
帮你把已经测出来的延迟、吞吐或资源瓶颈真正定位并修复,用性能分析(profiling)加上可控的对照实验来验证改动是否有效。适合已经确认有瓶颈、想要可复现且可量化的优化场景,不适合做无偏的 A/B 比较。特别强调隔离实验和保持正确性:只有在有可比证据显示指标提升且没有不可接受回退时才保留改动。
▸ 展开 SKILL.md 英文原文
Optimizes a measured latency, throughput, memory, CPU, or I/O problem through profiling and keep-or-discard experiments. Use for a known bottleneck; not unbiased A/B comparison.
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仓库内 Skill
+10
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安装 / 使用
给你的 Agent 一句话(通用)
帮我安装这个 skill:https://raw.githubusercontent.com/levnikolaevich/claude-code-skills/master/plugins/optimization-suite/skills/ln-31-performance-optimizer/SKILL.md或 curl 直取 SKILL.md
curl -fsSL "https://raw.githubusercontent.com/levnikolaevich/claude-code-skills/master/plugins/optimization-suite/skills/ln-31-performance-optimizer/SKILL.md"SKILL.MD 节选查看完整文件 ↗
# Performance Optimizer **Goal:** Optimize only measured problems. Preserve correctness, isolate experiments, and retain a change only when comparable evidence shows that it improves the agreed metric without unacceptable regressions. **Execution contract:** Treat the ordered checkbox workflow below as this skill's Definition of Done. Work through every item in order, and mark it complete only when its action and required evidence are complete. `N/A`, skipped, unavailable, or delegated items remain incomplete. Before returning, apply this skill's verdict, decision, and approval rules to every incomplete item and prepend **Checklist: X/Y complete**<br>**Incomplete: None | section/item — rea
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