Browse Secure Claude Skills
Search verified agent skills and review security grades before installing · full A–Z index
- PerformanceUse when optimizing performance — measure before you optimize: profile, identify bottlenecks, then improve. Triggers on "webperf", "performance regression", "慢", "性能优化", "性能调优" — also when user says "太慢了" / "卡顿".Votes: 0GitHub stars: 3
- Performance ProfilingProfile system performance using representative workloads, time/resource attribution, traces, profilers, query plans, and repeatable evidence to locate where execution cost actually accumulates.Votes: 0GitHub stars: 16
- Performance ProfilingPerformance profiling principles. Measurement, analysis, and optimization techniques.Votes: 0GitHub stars: 8
- PerformanceDiagnose and improve runtime performance including N+1 queries, slow queries, caching, latency, memory, throughput, and resource efficiency using framework-agnostic principles.Votes: 0GitHub stars: 3
- Performance ProfilingPerformance profiling principles. Measurement, analysis, and optimization techniques.Votes: 0GitHub stars: 6
- Performance OptimizationMake code measurably faster by profiling first and fixing the actual bottleneck. Use when something is slow, uses too much memory, or needs to handle more load.Votes: 0GitHub stars: 7
- PerformancePerformance Optimization - React Native. Use when optimizing performance or profiling code.Votes: 0GitHub stars: 105
- Performance EngineerExpert performance engineer specializing in modern observability,Votes: 0GitHub stars: 46,327
- Performance EngineerExpert performance engineer specializing in modern observability,Votes: 0GitHub stars: 45,848
- PerformanceKeep sessions fast and cheap. Always on.Votes: 0GitHub stars: 3
- Performance ProfilingPerformance profiling principles. Measurement, analysis, and optimization techniques.Votes: 0GitHub stars: 3
- Performance OptimizationMeasure first, optimize second. Data-driven performance improvements with before/after benchmarks and production validation.Votes: 0GitHub stars: 17
- Briefbound Performance EngineeringUse when an explicit performance goal, measurable regression, unresolved hot path, large workload, concurrency/cache/streaming decision, or latency/throughput/CPU/memory/I/O/bundle budget needs profiling and evidence-backed optimization; do not use for routine development, speculative cleanup, competition score iteration, or an already-located N+1/local inefficiency whose batch fix and deterministic count verification are clear to the current owner.Votes: 0GitHub stars: 6
- PerfMeasurement-first performance work — define the budget and metric, measure a reproducible baseline, profile to find the REAL hotspot, fix the biggest lever first (algorithmic > batching/caching > micro), re-measure after every single change, stop at the budget. TRIGGER when: something is slow, memory-hungry, or the user wants it faster/cheaper ("optimize", "why is this slow", "speed this up", "reduce latency/memory"). DO NOT TRIGGER when: it's a correctness bug that happens to involve time (t...Votes: 0GitHub stars: 2
- Performance OptimizationAct as a senior performance engineer optimizing a production application used by millions of users: maximize speed, lower memory usage, improve scalability, speed up rendering, and clean up execution. Identifies performance bottlenecks, inefficient logic, unnecessary rendering, expensive operations, and memory leaks, then delivers a performance issue breakdown, optimization strategies, improved production-ready code, and scalability recommendations. Use when the user asks to optimize performa...Votes: 0GitHub stars: 3
- Performance Smoke TestingUse when a criterion mentions speed or limits, or the change touches a list, query, endpoint or page that could get slower - timing loops, the N-vs-10N data check and Lighthouse on a production buildVotes: 0GitHub stars: 109
- Performance ReviewGenerate performance review documentation and facilitate evaluation processesVotes: 0GitHub stars: 1,760
- Performance TuningUse when the request is a performance symptom — slow endpoint, high latency, timeouts, high CPU or memory, big bundle, slow build. Measurement-first methodology for the Hydraia perf route: baseline before analysis, numeric target in the spec, re-measure in verify. Never optimize without measuring.Votes: 0GitHub stars: 8
- Performance PassMeasure and fix how fast a site loads and responds on a mid-range phone - LCP, CLS, total blocking time, bytes by type, oversized images, font weight - with a Playwright script that throttles CPU and network, then fix the causes in order of impact and re-measure. Covers animated canvases and WebGL backgrounds, which must pause offscreen and fall back on weak devices. Use before launch, when a page feels slow on a phone, or after adding heavy visuals.Votes: 0GitHub stars: 4
- Performance AuditProfiles and analyzes hot-path allocations, algorithmic complexity, GC pressure, and resource utilization.Votes: 0GitHub stars: 2