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Found 569 Skills
Find composition and state-lifting refactor opportunities in a React codebase. Audits for boolean-prop bloat, monolith components with variant explosion, sibling clusters that should share lego-brick subcomponents, render-prop slots that can't reach outside the box, and state synced between siblings via useEffect. Use when the user wants to improve react code, audit react components, find react refactor opportunities, run a react composition review, or asks "improve react", "audit react", "react architecture review".
Query and analyze distributed traces and spans using DataPrime syntax. Use this skill whenever the user wants to investigate request latency, find slow operations, debug service-to-service calls, look up a trace ID, analyze span durations, check error spans, examine distributed traces, investigate OpenTelemetry/Jaeger tracing data, or query Coralogix spans in any way - even if they don't explicitly mention "DataPrime" or "cx spans".
Use when measuring or improving agent quality and performance — set up evaluators, online monitoring, CI/CD quality gates, observability, or cost optimization. Triggers on: "evaluate my agent", "add evaluator", "measure quality", "quality gate", "run evals", "agent too slow", "why is it slow", "reduce latency", "set up observability", "CloudWatch dashboard", "how much does my agent cost", "cost optimization", "logs not showing up", "logs missing", "spans not found", "eval failing", "eval error", "dev traces", "local traces", "agentcore dev traces", "traces to CloudWatch". Not for debugging errors or crashes — use agents-debug. Slow but correct routes here; broken routes to debug.
UX critique — hierarchy, clarity, anti-slop. No code changes unless asked. Invoke when the user asks for critique on their UI, or mentions 'critique' alongside design / UI / frontend work.
Alibaba Cloud PolarDB-X Distributed Database AI Assistant. Use for PolarDB-X cluster management, topology inspection, performance diagnostics, SQL optimization, data distribution analysis, elastic scaling diagnostics, connection/session analysis, security audit, backup/restore, parameter tuning, and other O&M operations. Triggers: "PolarDB-X", "distributed database", "pxc-", "DN/CN nodes", "data sharding", "PolarDB-X diagnostics", "PolarDB-X performance", "PolarDB-X slow SQL", "YaoChi Agent", "PolarDB-X topology", "PolarDB-X backup", "PolarDB-X security audit", "PolarDB-X scaling"
Analyze and optimize SQL queries for performance. Use when improving slow queries, reducing execution time, or analyzing query performance in PostgreSQL and MySQL.
When building Next.js App Router pages with data loading, slow fetches, or Suspense, generate loading.tsx using shadcn/ui Skeleton placeholders for instant loading UI. Always install shadcn skeleton component first if not present. Use for dashboards, lists, profiles, forms.
Optimize SQL queries for performance with indexing strategies, query rewriting, and execution plan analysis. Use when queries are slow, optimizing database performance, or analyzing query execution.
Create distinctive, bold UI designs that avoid generic AI aesthetics. This skill should be used when users want frontend components with strong visual identity, creative typography, intentional color palettes, and production-grade animations - specifically to avoid the bland, safe, homogeneous "AI slop" that plagues most generated interfaces.
MongoDB query optimization and indexing strategies. Use when writing queries, creating indexes, building aggregation pipelines, or debugging slow operations. Triggers on "slow query", "create index", "optimize query", "aggregation pipeline", "explain output", "COLLSCAN", "ESR rule", "compound index", "partial index", "TTL index", "text search", "geospatial", "$indexStats", "profiler".
Performance optimization patterns covering Core Web Vitals, React render optimization, lazy loading, image optimization, backend profiling, and LLM inference. Use when improving page speed, debugging slow renders, optimizing bundles, reducing image payload, profiling backend, or deploying LLMs efficiently.
React DevTools CLI for AI agents. Use when the user asks you to debug a React or React Native app at runtime, inspect component props/state/hooks, diagnose render performance, profile re-renders, find slow components, or understand why something re-renders. Triggers include "why does this re-render", "inspect the component", "what props does X have", "profile the app", "find slow components", "debug the UI", "check component state", "the app feels slow", or any React runtime debugging task.