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.
96 skills found
Generate a production-ready Go API service with boilerplate for observability, local development, and clean architecture.
Production-grade Bash scripting assistant enforcing safety, maintainability, and ShellCheck compliance. Includes automated headers, pattern enforcement, and risk-aware file modification checkpoints.
Foundry development guide for CMTAT RuleEngine contracts, including testing, deployment scripts, and project-specific Solidity patterns.
Context Engineering agent skill to initialize, generate, and execute comprehensive implementation blueprints (PRPs) for one-pass software development.
NestJS 11+ expert assistant for enterprise Node.js development, including dependency injection, DTO validation, authentication, ORMs, testing, microservices, and architectural best practices.
Expert automated code review for Go CLI applications, focusing on Cobra/urfave patterns, security, performance, idiomatic Go, and robust error handling.
Specialized IDF (Information Display Frame) sub-agent for generating and reviewing CQRS Query Side implementations across Java, TypeScript, and Go.
Generates structured Handoff Pack prompts for delegating scoped coding tasks to Gemini with clear instructions, acceptance criteria, and output requirements.
Unit and integration test your Encore.ts backend applications using Vitest, including support for isolated test databases and service mocking.
Full-stack SDLC agent workflow managing the entire production lifecycle from intake and planning to automated testing, CI/CD, and infrastructure deployment using MCP tools.
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.