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Found 70 Skills
Audit and assess a codebase for programmatic SEO readiness at 1000+ page scale. Use when starting a pSEO project, evaluating an existing codebase for pSEO gaps, or when the user asks to audit, assess, or review their site for programmatic SEO scalability.
Event-driven architecture patterns with event sourcing, CQRS, and message-driven communication. Use when designing distributed systems, microservices communication, or systems requiring eventual consistency and scalability.
Ultimate 25+ years expert-level backend skill covering FastAPI, Express, Node.js, Next.js with TypeScript. Includes ALL databases (PostgreSQL, MongoDB, Redis, Elasticsearch), ALL features (REST, GraphQL, WebSockets, gRPC, Message Queues), comprehensive security hardening (XSS, CSRF, SQL injection, authentication, authorization, rate limiting), complete performance optimization (caching, database tuning, load balancing), ALL deployment strategies (Docker, Kubernetes, CI/CD), advanced patterns (microservices, event-driven, saga, CQRS), ALL use cases (e-commerce, SaaS, real-time, high-traffic), complete testing (unit, integration, E2E, load, security). Route protection, middleware, authentication implementation in PERFECTION. Use for ANY backend system requiring enterprise-grade security, performance, scalability, and architectural excellence.
Test application performance, scalability, and resilience. Use when planning load testing, stress testing, or optimizing system performance.
System design and architecture expert for creating scalable distributed systems. Covers system design interviews, architecture patterns, and real-world case studies like Netflix, Twitter, Uber. Use when designing systems, writing architecture docs, or preparing for system design interviews.
Best practices and guidelines for building real-time applications with WebSocket communication
Agent skill for arch-system-design - invoke with $agent-arch-system-design
Design system architecture, APIs, and component interfaces. Use for architectural decisions and system design.
Implement Customer.io load testing and scaling. Use when preparing for high traffic, load testing, or scaling integrations for enterprise workloads. Trigger with phrases like "customer.io load test", "customer.io scale", "customer.io high volume", "customer.io performance test".
Design scalable data systems in the style of Pat Helland, distributed systems veteran from Tandem, Microsoft, and Amazon. Emphasizes life beyond distributed transactions, idempotency, and practical patterns for data at scale. Use when building systems that must scale beyond single-node ACID transactions.