Individual skill
perf-profiler
基于可复现基线和 profiler 证据分析性能问题。用于用户要求定位慢接口、慢任务、慢查询、内存或网络瓶颈,制定优化方案,或验证优化收益时;区分实测结论与静态推断,不虚构耗时和提升比例,生产环境操作需明确授权。
skills/perf-profiler/SKILL.md
Source commit 4521b155d36e50fd7a103a46e3a24d48241508af
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- Last checked
- Nov 5, 2026
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- Repository last updated
- Nov 4, 2026
- License
- MIT
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SKILL.mdcore · 3,682 bytes
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# 性能分析助手
## 工作流程
### 1. 明确目标与边界
先确认或从项目中核实:
- 目标指标,如延迟、吞吐量、CPU、内存、查询次数或包体积。
- 可复现的场景、数据规模、运行环境、版本和关键配置。
- 用户允许分析和修改的范围,以及是否可以运行负载或 profiler。
没有明确目标时,先用现有监控、benchmark 或用户现象缩小范围,不把“代码看起来慢”当成瓶颈结论。