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Found 1,934 Skills
Runtime profiling with multi-metric measurement, instrumentation, and performance map generation
Human Resources skill for recruiting, onboarding, employee engagement, policies, performance management, and HR operations. Use when handling HR processes, recruiting, employee relations, or organizational development.
Analyze VictoriaMetrics query trace JSON to diagnose slow queries and produce a structured performance report with time breakdown, bottleneck analysis, and optimization recommendations. ALWAYS use this skill when: (1) the user mentions a VictoriaMetrics or VM trace, query trace, or trace JSON, (2) the user provides or references a JSON file containing duration_msec/message/children fields, (3) the user asks why a VictoriaMetrics/VM query is slow and has trace output, (4) the user asks about vmstorage node distribution, cache misses, or rollup performance in the context of a trace, (5) the user mentions vmselect trace, trace=1, or query performance debugging with VictoriaMetrics. This skill provides a structured report template that ensures consistent, thorough analysis — do not attempt to analyze VM traces without it.
Apply when implementing caching logic, CDN configuration, or performance optimization for a headless VTEX storefront. Covers which VTEX APIs can be cached (Intelligent Search, Catalog) versus which must never be cached (Checkout, Profile, OMS), stale-while-revalidate patterns, cache invalidation, and BFF-level caching. Use for any headless project that needs TTL rules and caching strategy guidance.
Benchmark any agent skill to measure whether it actually improves performance. Use when the user wants to evaluate, test, or compare a skill against baseline, or when they mention "benchmark", "eval", "skill performance", or "does this skill help". Runs isolated eval sessions with and without the skill, grades outputs via layered grading (deterministic checks + LLM-as-judge), analyzes behavioral signals, and generates a comparison report with a USE / DON'T USE verdict.
Autonomous iterative experimentation loop for any programming task. Guides the user through defining goals, measurable metrics, and scope constraints, then runs an autonomous loop of code changes, testing, measuring, and keeping/discarding results. Inspired by Karpathy's autoresearch. USE FOR: autonomous improvement, iterative optimization, experiment loop, auto research, performance tuning, automated experimentation, hill climbing, try things automatically, optimize code, run experiments, autonomous coding loop. DO NOT USE FOR: one-shot tasks, simple bug fixes, code review, or tasks without a measurable metric.
Visualize Key Purchase Criteria importance and performance. Use for competitive positioning and product strategy.
Design KPI dashboards for executive monitoring. Use for performance tracking, strategic initiatives, and management reporting.
Decompose Return on Equity into component ratios to identify performance drivers. Use for financial analysis, performance benchmarking, and identifying improvement opportunities.
Use this skill when designing OKR systems, writing performance reviews, running calibration sessions, creating PIPs, or building career ladders. Triggers on OKRs, performance reviews, calibration, PIPs, career ladders, leveling frameworks, feedback cycles, and any task requiring performance management system design.
Use this skill when load testing services, benchmarking API performance, planning capacity, or identifying bottlenecks under stress. Triggers on k6, Artillery, JMeter, load testing, stress testing, soak testing, spike testing, performance benchmarks, throughput testing, and any task requiring load or performance testing.
Run Lighthouse CLI audits for websites and web applications from environment setup through result interpretation. Use when the user wants to audit performance, accessibility, SEO, best practices, PWA readiness, Core Web Vitals, Lighthouse CI, batch URL scans, localhost pages, or production pages. Trigger this skill for Lighthouse setup and troubleshooting in Linux or WSL, browser launcher failures such as "Cannot find Chrome" or "ECONNREFUSED 127.0.0.1", Chrome or Chromium detection issues, PageSpeed-style analysis requests, or any request to generate Lighthouse HTML and JSON reports with actionable recommendations.