go-api
Generate a production-ready Go API service with boilerplate for observability, local development, and clean architecture.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
61 skills found
Generate a production-ready Go API service with boilerplate for observability, local development, and clean architecture.
Guide for implementing features using architecture-first design, TDD, rich domain models, and Swift 6.2 patterns, ensuring a clean separation between Domain, Infrastructure, and App layers.
NestJS 11+ expert assistant for enterprise Node.js development, including dependency injection, DTO validation, authentication, ORMs, testing, microservices, and architectural best practices.
Vitest testing patterns for reliable unit and integration tests. Focuses on critical business logic, edge cases, and mocking strategies for high-impact functions.
Generates OpenAPI 3.0/3.1 specs from code (FastAPI, NestJS) or design-first schemas. Includes client SDK generation, mock server setup, and support for Swagger/ReDoc/Stoplight documentation workflows.
Unit and integration test your Encore.ts backend applications using Vitest, including support for isolated test databases and service mocking.
Repository implementation guide for local-skills-mcp. Provides technical documentation on MCP tool handlers, skill loading, aggregation logic, and project structure for developers.
Applies current Go testing best practices, including concurrent testing, mocking, and table-driven design for robust software development.
Build modular FastAPI applications using Clean Architecture, including domain-driven design, dependency injection, repository patterns, and testing strategies for scalable Python backend services.
Implement professional TDD workflows with strict 80% coverage, automated testing strategies, and AAA pattern enforcement for robust, high-quality code.
Self-healing Rust verification loop that automates test execution, clippy linting, and formatting checks.
Executes Gradle-based Java tests, filters results for failures and key statistics, and provides concise reports to streamline backend development and debugging.