Loading...
Loading...
Found 211 Skills
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.
Amazon SQS managed message queue service. Covers standard and FIFO queues, dead-letter queues, and integration patterns. Use for AWS-native serverless and microservices architectures. USE WHEN: user mentions "sqs", "aws queues", "fifo queue", "lambda trigger", "sns to sqs", asks about "aws messaging", "serverless queues", "standard queue", "visibility timeout" DO NOT USE FOR: event streaming - use `kafka` or AWS Kinesis; Azure-native - use `azure-service-bus`; GCP-native - use `google-pubsub`; on-premise - use `rabbitmq` or `activemq`; complex routing - use `rabbitmq`
Generates EventCatalog documentation files (services, events, commands, queries, domains, flows, channels, containers) with correct frontmatter, folder structure, and best practices. Use when user asks to "document a service", "create EventCatalog files", "add an event to the catalog", "document my architecture", "generate catalog documentation", "create documentation for my microservice", or "document a database".
Expert-level gRPC, Protocol Buffers, microservices communication, and streaming
Declarative HTTP client for microservices communication with Spring Cloud OpenFeign. Covers @FeignClient, error handling, interceptors, and circuit breaker integration. USE WHEN: user mentions "feign", "openfeign", "@FeignClient", "declarative HTTP client", "service-to-service communication", "microservices client" DO NOT USE FOR: external APIs - consider WebClient or RestClient, simple HTTP calls - use RestClient
Comprehensive backend development guide for Node.js/Express/TypeScript microservices. Use when creating routes, controllers, services, repositories, middleware, or working with Express APIs, Prisma database access, Sentry error tracking, Zod validation, unifiedConfig, dependency injection, or async patterns. Covers layered architecture (routes → controllers → services → repositories), BaseController pattern, error handling, performance monitoring, testing strategies, and migration from legacy patterns.
Sets up and configures Google Kubernetes Engine (GKE) clusters for production use. Use when creating new GKE clusters, choosing between Autopilot vs Standard modes, configuring networking (VPC-native, private clusters), setting up node pools, or planning cluster architecture for Spring Boot microservices. Includes regional vs zonal decisions, security hardening, and resource provisioning guidance.
Provides comprehensive guidance for NestJS using the official documentation. Use when the user asks about NestJS architecture, controllers, providers, modules, middleware, guards, pipes, interceptors, dependency injection, GraphQL, WebSockets, microservices, OpenAPI/Swagger, security, or testing.
Start, query, and stop a network-specific TAO inference microservice ({network_arch}-inference-microservice) by delegating container execution to the appropriate platform skill. Handles container image resolution, job-payload JSON construction, and the service registry. Use when the user wants to run inference on a TAO model checkpoint using a microservice container, deploy a TAO inference endpoint, or stop a running inference container.
Debug NestJS issues systematically. Use when encountering dependency injection errors like "Nest can't resolve dependencies", module import issues, circular dependencies between services or modules, guard and interceptor problems, decorator configuration issues, microservice communication errors, WebSocket gateway failures, pipe validation errors, or any NestJS-specific runtime issues requiring diagnosis.
Skill for working with Firebase Hosting (Classic). Use this when you want to deploy static web apps, Single Page Apps (SPAs), or simple microservices. Do NOT use for Firebase App Hosting.
Build production-ready Node.js backend services with Express/Fastify, implementing middleware patterns, error handling, authentication, database integration, and API design best practices. Use when creating Node.js servers, REST APIs, GraphQL backends, or microservices architectures.