Skill UI

This comprehensive guide covers best practices for building robust, production-ready gRPC microservices in Go. It details proper protobuf organization, utilizing interceptors for cross-cutting concerns (logging, auth), implementing graceful shutdowns, handling gRPC status codes, and optimizing client connections with deadlines and retry policies. Essential for engineers designing reliable distributed systems.

A comprehensive guide and toolset for Go code quality assurance using `golangci-lint`. It enables developers to run multiple linters in parallel, configure best practices via `.golangci.yml`, automate fixes, and interpret complex lint output. Ideal for maintaining code standards, setting up CI/CD pipelines, and cleaning up legacy codebases.

A comprehensive guide detailing recommended naming conventions for various Go language elements, including packages, structs, interfaces, constants, functions, and error handling. Use this skill when writing, reviewing, or refactoring Go code to ensure adherence to idiomatic Go style.

A comprehensive guide for optimizing Golang applications, covering systematic approaches to identifying and resolving bottlenecks. It details best practices for reducing memory allocations, improving CPU efficiency, tuning GC, and managing concurrency. The methodology emphasizes profiling first (using pprof, fgprof) and following an iterative cycle: Benchmark → Diagnose → Improve → Benchmark.

This skill acts as a Go ecosystem expert, guiding developers through the process of selecting and vetting production-ready third-party libraries and frameworks for Go projects. It enforces best practices by prioritizing the standard library, ensuring library maturity, and evaluating performance and simplicity to avoid over-engineering. Use this when you need to compare alternatives or choose the optimal dependency for a specific task.

This guide serves as a comprehensive blueprint for architecting and structuring Golang projects. It covers best practices for defining project types (CLI, Service, Library, Monorepo), adhering to 12-Factor App principles, standardizing module naming conventions, and establishing optimal directory layouts (cmd/, internal/, pkg/). Use it when starting a new Go application or refactoring a complex codebase to ensure maintainability and scalability.

This skill guides users through advanced security auditing and best practices for Golang development. It acts as a senior security engineer, focusing on defense in depth by analyzing critical areas like injection patterns, cryptography, secrets management, and authorization flaws. It supports full codebase audits (using STRIDE and DREAD scoring) and precise PR vulnerability reviews, ensuring secure and resilient Go applications.

A comprehensive guide to the Go programming language ecosystem. This resource curates official documentation, essential newsletters, key developer profiles, and community hubs. Use this guide when you need to stay current with Go language features, discover new libraries, or keep up with industry best practices and community discussions.

A comprehensive guide to using testify/stretchr in Go for writing robust, reliable, and self-explanatory unit tests. It deeply covers core concepts like assertions (Equal, Contains, etc.), setup/teardown using test suites, mocking dependencies, and the critical difference between `assert` (non-stopping) and `require` (stopping on failure). Ideal for any Go developer seeking to improve test coverage and quality.

Guides Go developers through struct/interface design best practices, covering interface segregation, composition, dependency injection, type assertions, and choosing pointer vs value receivers to keep APIs clear and testable.

A comprehensive guide for systematically diagnosing and fixing bugs, crashes, deadlocks, and performance issues in Go code. It covers debugging methodology, utilizing tools like Delve and pprof, detecting race conditions, and following the Golden Rules to find the root cause, ensuring robust and reliable Go development practices.

Provides the Google Model Armor CLI to filter user-generated content and run template-guided sanitization for prompts or responses, helping teams enforce safety policies during automation workflows and schema-driven inspections.