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Search verified agent skills and review security grades before installing · full A–Z index

Common Performance EngineeringAEnforce universal standards for high-performance development. Use when profiling bottlenecks, reducing latency, fixing memory leaks, improving throughput, or optimizing algorithm complexity in any language.developmentgojavaVotes: 0GitHub stars: 549
Common Performance EngineeringADo not preemptively optimize every function. The performance standard requires a baseline and profiling before changes: measure relevant CPU, memory, latency, throughput, and I/O behavior, then identify the highest-impact bottleneck. Premature optimization spends complexity budget on code that may not matter and can introduce regressions. Use a lightweight prevention process instead: - Define SLIs/SLOs for critical paths, such as p95 latency, throughput, memory ceiling, startup time, or inter...developmentgoperformanceVotes: 0GitHub stars: 549
Go PerformanceAUse when a workload or budget can change the mechanism, or when an optimization claim needs a comparable baseline, attribution, and delta.developmentgosqlVotes: 0GitHub stars: 7
Performance TradeoffAMeasure and judge hardware-bound optimization tradeoffs involving latency, throughput, CPU/GPU/device or unified memory, headroom, capacity, OOM, fallback, offload, admission limits, or workload size. Use for benchmark design or execution, performance-claim review, hardware qualification, and optimization acceptance decisions. Do not use for routine cleanup or performance-neutral refactors with no material resource claim.developmentperformanceVotes: 0GitHub stars: 9
PerfADiscover, run, interpret, compare, and incrementally extend a project's existing system performance capability. Use when the user asks to run or report load, capacity, stress, soak, or performance-regression tests; compare performance runs; or add bounded project-owned perf coverage. Follow project-owned workloads, profiles, SLOs, targets, and entrypoints; do not invent a missing capability or run material load without target authorization.ai-agentsperformanceVotes: 0GitHub stars: 4
Common Performance EngineeringAEnforce universal standards for high-performance development. Use when profiling bottlenecks, reducing latency, fixing memory leaks, improving throughput, or optimizing algorithm complexity in any language.developmentgojavaVotes: 0GitHub stars: 549
Hr Performance ReviewerA深耕中国企业绩效管理体系的实战专家，精通 OKR/KPI 双轨制、360 度反馈、绩效校准会、PIP 改进计划等全流程绩效管理，帮助企业建立科学公正的绩效评估与人才发展机制。ai-agentsperformanceVotes: 0GitHub stars: 15
Performance ProfilingAPerformance profiling principles. Measurement, analysis, and optimization techniques.ai-agentsjavascriptpythonVotes: 0GitHub stars: 2
PerformanceAPerformance diagnostician. Measures and profiles latency, throughput, resource use, Core Web Vitals, query behavior, and AI cost to identify the proven bottleneck and an optimization budget. Use when the cause or limiting resource is unknown. Hand implementation to Frontend, Backend, Database, AI Engineering, DevOps, or SEO according to the proven owner.ai-agentsgoshellVotes: 0GitHub stars: 37
Performance ProfilerAProfile application performance including CPU, memory, and flame graph generationai-agentsjavascriptjavaVotes: 0GitHub stars: 1,760
Metamask Official PerformanceAUse for any performance question about the MetaMask Mobile React Native app. Trigger when: a screen, list, or interaction feels slow, laggy, or janky (account/network switching, scrolling, typing, FPS drops); planning a feature with real-time/websocket data, frequent updates, or large lists; reviewing or auditing PRs/code for excessive re-renders, broken selector memoization, Context providers, hook deps, or bundle bloat; making the app faster for power users with many accounts/assets; measur...testingreactperformanceVotes: 0GitHub stars: 73
Performance TestingAPerformance testing specialist for load testing, stress testing, and performance optimization across applications and infrastructuredevopsjavascriptpythonVotes: 0GitHub stars: 207
Sales EngineerA资深售前工程师，专精技术 Discovery、Demo 设计、POC 执行、竞争技术定位，擅长将产品能力转化为业务成果。在单子进入采购流程之前，先赢下技术决策。ai-agentsgoapiVotes: 0GitHub stars: 15
Performance BenchmarkerA- Execute load testing, stress testing, endurance testing, and scalability assessment across all systems - Establish performance baselines and conduct competitive benchmarking analysis - Identify bottlenecks through systematic analysis and provide optimization recommendations - Create performance monitoring systems with predictive alerting and real-time tracking - **Default requirement**: All systems must meet performance SLAs with 95% confidencetoolsjavascriptgoVotes: 0GitHub stars: 110
Performance Engineering ProgramAEstablishing an organization-wide performance engineering program through measurable maturity evidence, service ownership, SLO and baseline adoption, regression gates, incident learning and a rotating champion model. Use when performance depends on one specialist, teams apply different evidence standards, a maturity assessment needs concrete next actions, or a rollout must turn isolated profiling into a durable operating discipline. Does not design individual SLOs, benchmarks, alerts or profi...developmentgoperformanceVotes: 0GitHub stars: 2
Performance ProfilingAPerformance profiling principles. Measurement, analysis, and optimization techniques.ai-agentsjavascriptpythonVotes: 0GitHub stars: 46,327
Testing Performance BenchmarkerAUse when Codex should act as the Performance Benchmarker specialist from Agency Agents. Expert performance testing and optimization specialist focused on measuring, analyzing, and improving system performance across all applications and infrastructureai-agentsjavascriptgoVotes: 0GitHub stars: 10
Performance ProfilingAPerformance profiling principles. Measurement, analysis, and optimization techniques.ai-agentsjavascriptpythonVotes: 0GitHub stars: 274
Performance ProfilingAPerformance profiling principles. Measurement, analysis, and optimization techniques.developmentjavascriptpythonVotes: 0GitHub stars: 3
Performance OptimizationADiagnoses and improves measured latency, throughput, memory, CPU, bundle, rendering, query, or resource performance by defining a target, profiling a representative workload, locating the bottleneck, making one change at a time, and comparing before/after evidence. Use for performance work or regressions. Not for guessing optimizations without a reproducible workload or for generic refactoring.ai-agentsrefactoringperformanceVotes: 0GitHub stars: 95