Skill UI

A comprehensive guide for writing, reviewing, and auditing concurrent Go code. It covers core principles of structured concurrency, including proper resource management for goroutines, safe use of channels, mutexes, and advanced synchronization primitives like errgroup and singleflight. Essential for avoiding common issues like goroutine leaks, race conditions, and context propagation failures.

Provides comprehensive guidelines on using Go's `context.Context` for managing request lifecycles. Learn how to correctly propagate cancellation signals, enforce deadlines, handle timeouts, and safely pass request-scoped values across API boundaries (HTTP handlers, services, databases). Essential reading for writing resilient and robust concurrent Go applications.

A comprehensive guide for setting up production-grade CI/CD pipelines for Go projects using GitHub Actions. This skill covers essential quality gates including unit testing, linting (golangci-lint), static analysis security testing (SAST), vulnerability scanning, dependency management, Docker builds, and automated releases using GoReleaser.

A comprehensive guide detailing the internals, memory layout, and performance best practices for Go's built-in and standard library data structures. Covers slice capacity growth, map hashing mechanisms, pointer safety (unsafe/weak), and guides on selecting the most efficient structure for optimal memory usage and runtime performance.

A comprehensive guide detailing best practices for database interaction in Go. It covers secure query writing using parameterized placeholders, handling transactions, managing connection pooling, dealing with NULLable columns, and choosing between libraries like sqlx and pgx, while strongly advising against using ORMs.

This comprehensive guide covers Dependency Injection (DI) patterns specifically for Golang. It explains why DI is crucial for building testable, loosely coupled, and maintainable services. The skill compares manual constructor injection for small projects with advanced DI libraries (like google/wire, uber-go/dig) for complex architectures, focusing on best practices such as interface-based design and managing service lifecycles.

A comprehensive guide for managing the entire lifecycle of Go project dependencies. This skill covers best practices for adding, upgrading, removing, and verifying packages using go.mod and go.sum. It emphasizes critical security measures like vulnerability scanning (govulncheck) and adhering to version control standards, minimizing attack surface, and promoting standard library usage.

A comprehensive guide to creating production-ready, idiomatic Go applications. Covers critical patterns such as functional options, robust error handling, graceful shutdown, resource management, and architectural best practices. Ideal for refactoring existing Go code, choosing between architectural patterns, or designing scalable APIs and constructors.

A comprehensive guide and persona for technical writers and developers focused on Go code documentation. It outlines best practices for writing, reviewing, and structuring godoc comments, READMEs, CHANGELOGs, and contributing guidelines for both libraries and command-line applications. Use this skill when setting up, writing, or auditing high-quality technical documentation for any Go project.

A comprehensive guide to implementing robust, idiomatic error handling in Go. It covers best practices for error creation, context wrapping using `%w`, type-safe inspection with `errors.Is`/`errors.As`, adhering to the single handling rule, and utilizing structured logging with `slog`. Essential for building scalable, debuggable, and production-ready Go applications.

A comprehensive guide for building, reviewing, and debugging production-grade gRPC microservices using Golang. Covers critical patterns such as setting up interceptors for cross-cutting concerns (logging, auth), robust error handling with specific status codes, managing client deadlines, and implementing graceful service shutdowns.

This skill provides comprehensive linting and static analysis for Go projects using golangci-lint. It enforces numerous best practices, checks for common errors, manages configurations via `.golangci.yml`, and supports auto-fixing. Use it during the entire development lifecycle, including setting up CI/CD pipelines, running pre-commit checks, or refactoring large, legacy Go codebases to ensure high code quality and maintain security standards.