Browse Secure Claude Skills
Search verified agent skills and review security grades before installing · full A–Z index
- Profiling`task-agent`/`review-agent`: use when CPU, memory, I/O, database, network, rendering, or cost needs measured bottleneck evidence; skip without a profiling need.Votes: 0GitHub stars: 7
- Staging V0 19PERFORMANCE INSTINCTS — extracted from roles.json deepPrompt for developerVotes: 0GitHub stars: 8
- Performance CapacityPlan, diagnose, and verify performance budgets, latency targets, load tests, capacity estimates, bottleneck analysis, caching strategy, query efficiency, queue throughput, and regression gates. Use when a feature may be slow, a system must scale, a performance regression is suspected, or release readiness depends on throughput, cost, memory, CPU, or response time.Votes: 0GitHub stars: 286
- Performance DebuggingDiagnose a known application's CPU, heap, allocation, lock, and latency regressions with profiles, reproducible baselines, and measured verification.Votes: 0GitHub stars: 7
- Performance HunterPerformance optimization specialist — profiling, caching, latency, N+1, connection pools, p99 tail latency, async, load-testing. Use when performance, slow queries, profiling, caching, optimization, or database latency are mentioned.Votes: 0GitHub stars: 4
- Performance Test HarnessDesign the harness that MEASURES performance as release evidence — what to measure per surface (endpoint percentiles, query timings, frontend metrics on a device class, job durations), an environment contract (prod-like data volume and tenant shape, pinned hardware, declared cache state), repeat-run baselines and noise bands, thresholds CONSUMED from latency-budget-architect and slo-reliability-architect (the harness asserts numbers others set), CI tiers (PR smoke, nightly full, pre-release) ...Votes: 0GitHub stars: 4
- Common Performance EngineeringFirst establish a baseline for the page: navigation-to-interactive and largest-contentful-paint timings, JavaScript and network waterfalls, CPU and memory profiles, bundle sizes, table-render time, and scroll/input latency. Test with the real 5000-row dataset on representative hardware and network conditions. The likely bottleneck is rendering and retaining 5000 rows during initial load. Virtualize the table so only the visible viewport plus a small overscan window is mounted. Prefer a table/...Votes: 0GitHub stars: 549
- PerformanceStack-agnostic performance: measure first, find the bottleneck, then optimise. N+1, needless allocation, wrong async boundary, missing index/cache, heavy payload. No premature optimisation. Use when something is slow, before optimising anything, and when a change touches a hot path.Votes: 0GitHub stars: 24
- Performance Review[Debugging] Use when a workflow step or the user asks for a performance review: slow queries, N+1, latency, memory, caching, frontend rendering, Web Vitals.Votes: 0GitHub stars: 3
- Performance OptimizationMeasure, identify bottlenecks, fix, verify, and guard performance regressions. Use for web vitals, slow APIs, heavy notebooks/pipelines, or video/render workloads.Votes: 0GitHub stars: 25
- 2097 Performance Monitor D1815338Use when establishing observability infrastructure to track system metrics, detect performance anomalies, and optimize resource usage across multi-agent environments. Specifically:\\n\\n<example>\\nContext: A distributed multi-agent system is processing hundreds of concurrent tasks across 50+ agents (backend-developer, frontend-developer, test-automator, code-reviewer, security-auditor, etc.). There is no current monitoring visibility, making it impossible to identify which components are slo...Votes: 0GitHub stars: 4
- Performance Review对代码变更、Pull Request、分支或工作区 diff 进行聚焦性能评审，关注算法复杂度、数据库查询模式、N+1 风险、分页、缓存、批处理、内存使用、同步 I/O、延迟和负载行为；当 Codex 被要求做性能评审、可扩展性评审、性能剖析计划、基准测试计划或延迟风险评估时使用。Votes: 0GitHub stars: 75
- Performance Profile TriageRun performance profile triage.Votes: 0GitHub stars: 586
- Performance ProfilerPerformance ProfilerVotes: 0GitHub stars: 2
- Performance ThinkerPerformance optimization mindset - knowing when to optimize, how to measure, where bottlenecks hide, and when "fast enough" is the right answerUse when "slow, performance, optimize, profiling, benchmark, latency, throughput, cache, n+1, bottleneck, memory leak, too slow, speed up, response time, performance, optimization, profiling, caching, latency, throughput, big-o, benchmarking" mentioned.Votes: 0GitHub stars: 137