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Creates Model Context Protocol servers with tools, resources, and prompts for AI assistant integration. Use when extending Claude with custom capabilities, building AI tool integrations, or exposing APIs to AI...
Model deployment strategies including serving infrastructure, containerization, model packaging, versioning, and production deployment patterns.
Writes modern JavaScript with ES2024+ features, async patterns, and functional programming. Use when building Node.js applications, implementing async workflows, or writing clean maintainable code.
Claude writes fast, reliable tests using Vitest for TypeScript/JavaScript projects. Use when writing unit tests, component tests, setting up mocks, snapshot testing, or configuring test coverage.
AI agent designs production-grade database schemas with proper normalization, indexing strategies, and data modeling patterns. Use when creating new databases, designing tables, modeling relationships, or revie...
Automatic design system context injection for UI consistency
AI agent handles code review feedback professionally by categorizing, responding appropriately, and extracting learnings. Use when PR feedback arrives, addressing reviewer comments, or improving from feedback.
The agent implements DORA metrics tracking for measuring and improving software delivery performance. Use when establishing engineering metrics, benchmarking teams, or driving DevOps transformation.
Event sourcing, CQRS, and message queue patterns with RabbitMQ and Kafka for distributed systems
The agent implements GitHub Actions CI/CD workflows with builds, tests, and deployments. Use when setting up continuous integration, automating deployments, creating reusable actions, or implementing security s...
Processes images with Sharp for optimization, resizing, format conversion, and batch operations. Use when optimizing web images, generating thumbnails, creating responsive image sets, or applying transformation...
Claude writes reliable E2E tests using Playwright for browser automation. Use when writing end-to-end tests, implementing Page Object Model, visual regression testing, API mocking, or cross-browser testing.
AI agent maximizes efficiency and minimizes costs through strategic token usage while maintaining output quality. Use when managing AI interactions, designing prompts, or reducing costs.
Claude designs scalable React component architectures using compound components, custom hooks, and state machines. Use when building reusable UI systems or complex component APIs.
Designs scalable, resilient architectures using the 7 Omega principles. Use when building systems that need to scale to millions of users or designing platform-level infrastructure.
AI application architecture - gateway, orchestration, model routing, observability, deployment patterns. Use when designing AI systems, scaling applications, or building production infrastructure.
Advanced security patterns including zero-trust architecture, secret management, CSP, and compliance frameworks
Builds production React applications with hooks, TypeScript, state management, and performance optimization. Use when creating React SPAs, component systems, or interactive UIs.
AI agent designs layered security architecture with multiple independent protective barriers ensuring no single point of failure. Use when building security systems, reviewing architecture, or hardening applica...
ML serving optimization techniques including batching, caching, model compilation, and latency reduction for production ML systems.
Builds production Express.js APIs with TypeScript, middleware patterns, authentication, and error handling. Use when creating Node.js backends, REST APIs, or Express applications.
Next.js development with App Router, Server Components, API routes, and full-stack patterns
Performance testing patterns including load testing, stress testing, benchmarking, and profiling for optimal application performance
Building and processing datasets - data quality, curation, deduplication, synthesis, annotation, formatting. Use when creating training data, improving data quality, or generating synthetic data.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.