Loading...
Loading...
Found 345 Skills
CI/CD pipeline design, optimization, DevSecOps security scanning, and troubleshooting. Use for creating workflows, debugging pipeline failures, implementing SAST/DAST/SCA, optimizing build performance, implementing caching strategies, setting up deployments, securing pipelines with OIDC/secrets management, and troubleshooting common issues across GitHub Actions, GitLab CI, and other platforms.
System architecture skill for designing scalable, maintainable software systems. Covers microservices/monolith decisions, API design, DB selection, caching, security, and scalability planning.
This skill provides comprehensive knowledge for TanStack Query v5 (React Query) server state management in React applications. It should be used when setting up data fetching with useQuery, implementing mutations with useMutation, configuring QueryClient, managing caching strategies, migrating from v4 to v5, implementing optimistic updates, using infinite queries, or encountering query/mutation errors. Use when: initializing TanStack Query in React projects, configuring QueryClient settings, creating custom query hooks, implementing mutations with error handling, setting up optimistic updates, using useInfiniteQuery for pagination, migrating from React Query v4 to v5, debugging stale data issues, fixing caching problems, resolving v5 breaking changes, implementing suspense queries, or setting up query devtools. Keywords: TanStack Query, React Query, useQuery, useMutation, useInfiniteQuery, useSuspenseQuery, QueryClient, QueryClientProvider, data fetching, server state, caching, staleTime, gcTime, query invalidation, prefetching, optimistic updates, mutations, query keys, query functions, error boundaries, suspense, React Query DevTools, v5 migration, v4 to v5, request waterfalls, background refetching, cacheTime renamed, loading status renamed, pending status, initialPageParam required, keepPreviousData removed, placeholderData, query callbacks removed, onSuccess removed, onError removed, object syntax required
Instruction set for enabling and operating the Spring Cache abstraction in Spring Boot when implementing application-level caching for performance-sensitive workloads.
Provides expert guidance on Next.js caching behavior, including use cache directive, revalidation strategies, ISR patterns, and common pitfalls. Use when working with Next.js caching, revalidatePath, revalidateTag, use cache, or stale-while-revalidate patterns.
Use when serving uploaded files to users. Covers API-proxied file serving, direct storage URLs (S3/R2/Cloudinary), CDN configuration, public file URLs, caching headers, image optimization with Cloudinary, and serving files in frontend applications.
Patterns for SQLite databases in Python projects - state management, caching, and async operations. Triggers on: sqlite, sqlite3, aiosqlite, local database, database schema, migration, wal mode.
Plan and build production-ready FastAPI endpoints with async SQLAlchemy, Pydantic v2 models, dependency injection for auth, and pytest tests. Uses interview-driven planning to clarify data models, authentication method, pagination strategy, and caching before writing any code.
Use when developing WordPress block themes: theme.json (global settings/styles), templates and template parts, patterns, style variations, and Site Editor troubleshooting (style hierarchy, overrides, caching).
Designs multi-layer caching strategy with edge CDN, server-side caching, cache invalidation, and CDN configuration. Use for "caching strategy", "CDN setup", "cache invalidation", or "performance optimization".
Product Detail Page architecture, image gallery/carousel, caching, and add-to-cart flow. Use when modifying PDP layout, debugging gallery swipe/thumbnails, understanding LCP optimization, fixing ErrorBoundary issues, or working with variant-specific images.
Design scalable distributed systems using structured approaches for load balancing, caching, database scaling, and message queues. Use when the user mentions "system design", "scale this", "high availability", "rate limiter", or "design a URL shortener". Covers common system designs and back-of-the-envelope estimation. For data fundamentals, see ddia-systems. For resilience, see release-it.