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Found 399 Skills
Production-grade YouTube transcript extraction with multi-format output, language selection, auto-generated support, intelligent caching, rate limiting, and retry logic. Supports SRT, VTT, JSON, CSV, TSV, and plain text.
Configure Litestar stores and the store registry for caching, server-side sessions, rate limiting, and other key-value state with explicit backend selection, bytes-safe data handling, TTL and renewal policy, namespacing, registry wiring, and lifecycle cleanup. Use when a Litestar app depends on `MemoryStore`, `FileStore`, `RedisStore`, `ValkeyStore`, or `StoreRegistry`. Do not use for relational persistence, domain repositories, or response-caching policy details that belong in database or caching-focused skills.
Guide for configuring the Infisical Agent — a client daemon that manages token lifecycle and renders secrets via Go templates without modifying application code. Covers the full YAML config format, all 6 auth methods (Universal Auth, Kubernetes, AWS IAM, Azure, GCP ID Token, GCP IAM), sinks, template functions (listSecrets, listSecretsByProjectSlug, getSecretByName, dynamicSecret), polling, on-change commands, and caching. Use this skill when someone asks about: Infisical Agent, agent config file, agent templates, rendering secrets to files, sidecar secret injection, token renewal, infisical agent command, or 'how do I use the Infisical Agent to inject secrets'.
Fast structured generation and serving for LLMs with RadixAttention prefix caching. Use for JSON/regex outputs, constrained decoding, agentic workflows with tool calls, or when you need 5× faster inference than vLLM with prefix sharing. Powers 300,000+ GPUs at xAI, AMD, NVIDIA, and LinkedIn.
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
Reduce your AI API bill. Use when AI costs are too high, API calls are too expensive, you want to use cheaper models, optimize token usage, reduce LLM spending, route easy questions to cheap models, or make your AI feature more cost-effective. Covers DSPy cost optimization — cheaper models, smart routing, per-module LMs, fine-tuning, caching, and prompt reduction.
Comprehensive guide for production-ready Python backend development and software architecture at scale. Use when designing APIs, building backend services, creating microservices, structuring Python projects, implementing database patterns, writing async code, or any Python backend/server-side development task. Covers Clean Architecture, Domain-Driven Design, Event-Driven Architecture, FastAPI/Django patterns, database design, caching strategies, observability, security, testing strategies, and deployment patterns for high-scale production systems.
Use when caching expensive file processing results. SHA-256 content-hash keying with frozen CacheEntry and service layer wrapper.
Load PROACTIVELY when task involves application state, data fetching, or form handling. Use when user says "manage state", "add data fetching", "set up Zustand", "handle form validation", or "add React Query". Covers server state (TanStack Query with caching, optimistic updates), client state (Zustand stores), form state (React Hook Form with Zod validation), URL state (search params, routing), and choosing between state solutions.
Prompt caching for Claude API to reduce latency by up to 85% and costs by up to 90%. Activate for cache_control, ephemeral caching, cache breakpoints, and performance optimization.
Expert blueprint for data-oriented design using Resource/RefCounted classes (item databases, character stats, reusable data structures). Covers typed arrays, serialization, nested resources, and resource caching. Use when implementing data systems OR inventory/stats/dialogue databases. Keywords Resource, RefCounted, ItemData, CharacterStats, database, serialization, @export, typed arrays.
Next.js 16 Cache Components guidance — PPR, use cache directive, cacheLife, cacheTag, updateTag, and migration from unstable_cache. Use when implementing partial prerendering, caching strategies, or migrating from older Next.js cache patterns.