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Found 146 Skills
Microservices architecture patterns and design. Use when user asks to "design microservices", "service decomposition", "API gateway", "distributed transactions", "circuit breaker", "service mesh", "event-driven architecture", "saga pattern", "service discovery", or mentions microservices design patterns and distributed systems.
Avoid unnecessary useEffect in React components. Most uses of useEffect are anti-patterns — derived state, event-driven logic, data fetching, and external store subscriptions all have better, more idiomatic alternatives. Apply this skill when writing or reviewing React components that use useEffect.
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.
Enforce Vertical Slice Architecture (VSA) when building applications in any language (Go, .NET/C#, Java, Kotlin, TypeScript, Python, etc.) and any type (web API, mobile backend, CLI, event-driven). Organize code by feature/use-case instead of technical layers. Each feature is a self-contained vertical slice with a single entry point that receives the router/framework handle and its dependencies. Use when the user says "vertical slice architecture", "VSA", "organizar por feature", "feature-based architecture", "slice architecture", or when building a new app or feature and the project already follows VSA conventions. Also use when reviewing or refactoring code to align with VSA principles.
Test-driven development for Quarkus 3.x LTS using JUnit 5, Mockito, REST Assured, Camel testing, and JaCoCo. Use when adding features, fixing bugs, or refactoring event-driven services.
Set up self-hosted Inngest on macOS as a durable background task manager for AI agents. Interactive Q&A to match intent — from Docker one-liner to full k8s deployment with persistent state. Use when: 'set up inngest', 'background tasks', 'durable workflows', 'self-host inngest', 'event-driven functions', 'cron jobs', or any request for a local workflow engine.
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
Event Sourcing and CQRS patterns. Event stores, projections, snapshots, command handlers, query models, and eventual consistency. Covers EventStoreDB, Axon Framework, and custom implementations. USE WHEN: user mentions "event sourcing", "CQRS", "event store", "projection", "command handler", "read model", "write model", "EventStoreDB", "Axon" DO NOT USE FOR: simple event-driven architecture - use `event-driven`; message brokers - use messaging skills; DDD basics - use `ddd`
nginx C module development guidelines based on the official nginx development guide. This skill should be used when writing, reviewing, or refactoring nginx C modules to ensure correct memory management, request lifecycle handling, and event-driven patterns. Triggers on tasks involving nginx module development, ngx_http_module_t, handler/filter/upstream implementation, pool allocation, or nginx configuration directives.
Trigger Novu notification workflows to send messages across email, SMS, push, chat, and in-app channels. Supports single triggers, bulk triggers, broadcast to all subscribers, topic-based targeting, and cancellation. Use when sending transactional notifications, alerts, or any event-driven messages.
Academic backtesting framework for quantitative research. ~30 risk and performance ratios, 10 classes of indicators, event-driven engine with 6+ strategies, MPT optimizer, forward-looking simulation with Johnson SU + t-Copula, walk-forward CV, stress testing, fundamental analysis (Altman Z, Piotroski, DuPont). All flat Python + numpy.
Event sourcing patterns for storing state as a sequence of events. Use when implementing event-driven architectures, CQRS, audit trails, or building systems requiring full history reconstruction.