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Found 187 Skills
Technical architect assistant that helps design robust, scalable, and maintainable backend/frontend architectures. Provides visual diagrams, pattern recommendations, API design guidance, and stack selection advice. Use when designing system architecture, choosing tech stacks, planning scalability, designing APIs, or creating architectural documentation. Covers microservices, monoliths, serverless, event-driven patterns, and modern frameworks like Next.js and Supabase.
Expert-level Spring Boot, Spring Framework, REST APIs, and microservices development
Spring Boot Java framework for microservices with auto-configuration. Use for enterprise Java.
Service mesh for microservices networking. Use for service-to-service.
The definitive skill for building and deploying high-performance, distributed systems using Cloud Native standards (Dapr, Redis, Microservices). Use when a project requires professional-grade architecture, cross-service communication, elastic scaling, and sub-second agentic latency. Mandatory for flawless deployments on Kubernetes (Local or Cloud).
API documentation specialist who creates comprehensive OpenAPI/Swagger specifications and technical documentation for RESTful APIs, GraphQL schemas, and microservices architectures. Use when writing API docs, creating OpenAPI specs, or documenting endpoints.
Set up Kafka-based event-driven microservices with Platformatic Watt. Use when users ask about: - "kafka", "event-driven", "messaging" - "kafka hooks", "kafka webhooks" - "kafka producer", "kafka consumer" - "dead letter queue", "DLQ" - "request response pattern" with Kafka - "migrate from kafkajs", "kafkajs migration", "replace kafkajs" Covers @platformatic/kafka, @platformatic/kafka-hooks, consumer lag monitoring, and OpenTelemetry instrumentation.
Designs system architecture, selects tech stacks, defines components and interfaces, addresses non-functional requirements. Trigger words - architecture, system design, tech stack, components, scalability, security, API design, data model, NFR, patterns, microservices, monolith
Implement distributed tracing with Jaeger and Zipkin for tracking requests across microservices. Use when debugging distributed systems, tracking request flows, or analyzing service performance.
Enterprise Java development skill covering Spring ecosystem, microservices, design patterns, performance optimization, and Java best practices. Use this skill when building enterprise Java applications, working with Spring Boot, implementing microservices, or need guidance on Java architecture and performance tuning.
Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices.
Use when the user needs API design, microservices architecture, event-driven systems, database integration, caching strategies, or backend observability. Triggers: REST/GraphQL API implementation, service architecture design, message queue setup, rate limiting, health checks, OpenTelemetry integration.