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Found 417 Skills
Keeping codebases healthy, performant, and maintainable - refactoring, performance optimization, and technical debt managementUse when "refactor, optimize, performance, technical debt, cleanup, architecture, speed up, bundle size, memory leak, slow query, code smell, complexity, dead code, performance, refactoring, optimization, technical-debt, architecture, cleanup, bundle, memory" mentioned.
Performance optimization specialist for profiling, caching, and latency optimizationUse when "performance, latency, slow query, profiling, caching, optimization, N+1, connection pool, p99, performance, profiling, caching, latency, optimization, async, database, load-testing, ml-memory" mentioned.
Use when designing or reviewing concurrent Python code — selecting between asyncio, threads, or multiprocessing; structuring cancellation and deadline propagation; bounding fan-out and backpressure. Also use when diagnosing race conditions, deadlocks, slow throughput, or thread/task leaks under load.
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 Next.js App Router data fetching by converting slow client-side fetching to fast server-side fetching using React Server Components (RSC). Use when: - User reports slow initial page load with loading spinners - Page uses useEffect + useState for data fetching - StoreContext/useStore pattern causes waterfall fetching - Need to improve SEO (content not in initial HTML) - Converting "use client" pages to Server Components Triggers: "slow loading", "optimize fetching", "SSR data", "RSC optimization", "remove loading spinner", "server-side fetch", "convert to server component", "data fetch lambat", "loading lama"
Complete unit testing skill for TypeScript/NestJS projects using Jest, @golevelup/ts-jest, and in-memory databases. ALWAYS use this skill when user needs to: **SETUP** - Initialize or configure unit testing: - Set up Jest for a new project - Configure test infrastructure (jest.config.ts) - Install testing dependencies (@nestjs/testing, @golevelup/ts-jest) - Create mock helpers or test utilities - Set up coverage configuration **WRITE** - Create or add unit tests: - Write, create, add, or generate unit tests - Test a service, usecase, controller, guard, interceptor, pipe, or filter - Add tests for new code or features - Improve test coverage or add missing tests - Mock dependencies or set up test fixtures - Working on any file ending in .spec.ts **REVIEW** - Audit or evaluate unit tests: - Review existing tests for quality - Check test coverage and gaps - Audit testing patterns and conventions - Evaluate assertion quality **RUN** - Execute or analyze test results: - Run unit tests - Analyze test results or coverage reports - Understand test failures or successes - Check which tests are passing/failing **DEBUG** - Fix failing or broken tests: - Fix failing unit tests - Debug test errors or exceptions - Resolve mock issues or setup problems - Troubleshoot test timeouts or flaky tests - Diagnose "undefined" or unexpected results **OPTIMIZE** - Improve test performance and maintainability: - Speed up slow tests - Fix open handles preventing clean exit - Improve test organization - Reduce test execution time - Clean up test code Keywords: unit test, spec, jest, typescript, nestjs, mock, DeepMocked, createMock, AAA, test coverage, TDD, .spec.ts, testing, write test, add test, create test, fix test, debug test, run test, review test, optimize test, test setup, jest config
Finds and ranks expensive Snowflake queries by cost, time, or data scanned. Use when: (1) User asks to find slow, expensive, or problematic queries (2) Task mentions "query history", "top queries", "most expensive", or "slowest queries" (3) Analyzing warehouse costs or identifying optimization candidates (4) Finding queries that scan the most data or have the most spillage Returns ranked list of queries with metrics and optimization recommendations.
Optimize React apps for 60fps performance. Implements memoization, virtualization, code splitting, bundle optimization. Use for slow renders, large lists, bundle bloat. Activate on "React performance", "slow render", "useMemo", "bundle size", "virtualization". NOT for backend optimization, non-React frameworks, or premature optimization.
Learn how to create an interactive, draggable DOM using a Lit web component with CSS transforms and slots, enabling you to manipulate HTML and SVG elements within a canvas-like environment.
Use when building slow intentional animations between 1200-2000ms - app intros, loading sequences, storytelling moments that create emotional resonance
Retrieves MLflow traces using CLI or Python API. Use when the user asks to get a trace by ID, find traces, filter traces by status/tags/metadata/execution time, query traces, or debug failed traces. Triggers on "get trace", "search traces", "find failed traces", "filter traces by", "traces slower than", "query MLflow traces".
Analyze and improve business processes. Trigger with "this process is slow", "how can we improve", "streamline this workflow", "too many steps", "bottleneck", or when the user describes an inefficient process they want to fix.