perf-profiling

perf-profiling is a Runtime diagnostics & profiling skill for AI agents, published by 312362115 in the claude repository on GitHub. Skillspace rates perf-profiling D (61/100) and it passed the safety scan; the rating is based on static analysis only.

前后端性能分析技能：定位瓶颈、跑 benchmark、对比优化前后效果。 前端覆盖 Core Web Vitals（LCP/FID/CLS）、Lighthouse 审计、Bundle 分析。 后端覆盖 API 响应时间、数据库查询性能、内存/CPU profiling。 核心原则：基于数据定位瓶颈，不做无依据的"优化"。 触发词：性能优化、太慢了、性能分析、LCP、首屏、响应时间慢、profiling、benchmark。 触发场景：性能相关需求验收、用户反馈慢、性能指标超标、重构后性能回归验证。

Grade
D
Quality
61 / 100
Safety
Passed
GitHub stars
108

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHub312362115/claude

Our review

Architecture
76 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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