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Found 1,732 Skills
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.
Analyze customer conversion through funnel stages. Use for identifying drop-off points and optimization opportunities.
Use this skill when designing viral loops, building referral programs, optimizing activation funnels, or improving retention. Triggers on growth loops, referral programs, activation funnels, retention strategies, viral coefficient, product-led growth, AARRR metrics, and any task requiring growth experimentation or optimization.
Platform-specific AI search optimization — audit and optimize for Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot individually
Audit and maintain blog taxonomy (categories/tags) for consistency, SEO, and navigation: scan content, detect orphans and duplicates, merge and rename terms, verify builds. Use when user asks to "audit tags", "fix taxonomy", "consolidate categories", "merge tags", or "clean up taxonomy". Do NOT use for writing new content, individual post SEO optimization, or major content restructuring.
Performance and load testing patterns — k6 load tests, Locust stress tests, pytest execution optimization (xdist parallel, plugins), test type classification, and performance benchmarking. Use when writing load tests, optimizing test execution speed, or setting up pytest infrastructure.
Analyze CLAUDE.md files for token bloat and suggest optimizations
Intelligent network quality analysis with adaptive loading strategies. Detects connection type (2g/3g/4g), bandwidth, RTT, and save-data mode, then automatically triggers appropriate optimization workflows. Includes decision trees that recommend image compression for slow connections, critical CSS inlining for high RTT, and save-data optimizations (disable autoplay, reduce quality). Features connection-aware performance budgets (500KB for 2g, 1.5MB for 3g, 3MB for 4g+) and adaptive loading implementation guides. Cross-skill integration with Loading (TTFB impact), Media (responsive images), and Core Web Vitals (connection impact on LCP/INP). Use when the user asks about slow connections, mobile optimization, save-data support, or adaptive loading strategies. Compatible with Chrome DevTools MCP.
React Native and Expo development guide covering components, styling, animations, navigation, state management, forms, networking, performance optimization, testing, native capabilities, and engineering (project structure, deployment, SDK upgrades, CI/CD). Use when: building React Native or Expo apps, implementing animations or native UI, managing state, fetching data, writing tests, optimizing performance, deploying to App Store/Play Store, setting up CI/CD, upgrading Expo SDK, or configuring Tailwind/NativeWind.
Use when you need to verify Java performance optimizations by comparing profiling results before and after refactoring — including baseline validation, post-refactoring report generation, quantitative before/after metrics comparison, side-by-side flamegraph analysis, regression detection, or creating profiling-comparison-analysis and profiling-final-results documentation. Part of the skills-for-java project
Prepare, submit, and optimize Chrome Web Store listings. Covers workflow, checklist, rejection reasons, listing optimization, and CI/CD automation.
Use installed skills to orchestrate a WeChat Official Account content pipeline, produce content following the fixed process of Topic Selection -> Research -> Writing -> Optimization -> Distribution, write the output of each step to the agreed file path, and support switching between the main link and the official account quick writing link.