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Found 416 Skills
Data file fetching and caching for geoscience applications. Download sample datasets with automatic caching, checksum verification, and multiple download sources. Use when Claude needs to: (1) Download datasets from URLs or DOIs, (2) Cache files locally with automatic verification, (3) Verify file integrity with SHA256/MD5 hashes, (4) Extract compressed archives (ZIP, TAR, GZIP), (5) Create data registries for reproducible workflows, (6) Fetch from Zenodo or other repositories.
Optimize web application performance using code splitting, lazy loading, caching, compression, and monitoring. Use when improving Core Web Vitals and user experience.
Next.js 14+ App Router best practices including Server Components, data fetching, caching, and Vercel optimization patterns. Use for Next.js development with waterfall prevention, bundle optimization, and server actions.
Build production CI/CD pipelines with GitHub Actions. Implements matrix builds, caching, deployments, testing, security scanning. Use for automated testing, deployments, release workflows. Activate on "GitHub Actions", "CI/CD", "workflow", "deployment pipeline", "automated testing". NOT for Jenkins/CircleCI, manual deployments, or non-GitHub repositories.
Integrate Portkey AI Gateway into TypeScript/JavaScript applications. Use when building LLM apps with observability, caching, fallbacks, load balancing, or routing across 200+ LLM providers.
WHEN: Dockerfile review, multi-stage builds, layer optimization, docker-compose WHAT: Image optimization + Layer caching + Security scanning + Compose best practices + Build efficiency WHEN NOT: Kubernetes → k8s-reviewer, Terraform → terraform-reviewer
ML inference latency optimization, model compression, distillation, caching strategies, and edge deployment patterns. Use when optimizing inference performance, reducing model size, or deploying ML at the edge.
When designing distributed systems for scalability, reliability, and consistency. Covers CAP/PACELC theorems, consistency models (strong, eventual, causal), replication patterns (leader-follower, multi-leader, leaderless), partitioning strategies (hash, range, geographic), transaction patterns (saga, event sourcing, CQRS), resilience patterns (circuit breaker, bulkhead), service discovery, and caching strategies for building fault-tolerant distributed architectures.
Optimize Groq API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Groq integrations. Trigger with phrases like "groq performance", "optimize groq", "groq latency", "groq caching", "groq slow", "groq batch".
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.
Build Progressive Web Apps with Next.js: service workers, offline support, caching strategies, push notifications, install prompts, and web app manifest. Use when creating PWAs, adding offline capability, configuring service workers, implementing push notifications, handling install prompts, or optimizing PWA performance. Triggers: PWA, progressive web app, service worker, offline, cache strategy, web manifest, push notification, installable app, Serwist, next-pwa, workbox, background sync.
Isar Database, Caching & Offline-First Patterns