Can it help with performance tuning and profiling?

Absolutely. It includes workflows for profiling with pprof, writing benchmarks to eliminate allocations, and optimizing code for memory efficiency.

Does this skill support the latest Go versions?

Yes, Golang Pro is specifically optimized for Go 1.21 and later, including full support for generics, type constraints, and modern standard library features.

How does it handle Go concurrency?

The skill follows idiomatic Go patterns using goroutines and channels, ensuring strict lifecycle management, proper select statements, and mandatory context.Context propagation.

What testing standards does the Golang Pro skill follow?

It enforces high-quality testing practices including table-driven tests with subtests, the use of the race detector, and fuzzing to achieve 80%+ code coverage.

Golang Pro

Name: Golang Pro
Author: Jeffallan

byJeffallan

•

API Development

Builds high-performance concurrent systems and cloud-native microservices using idiomatic Go 1.21+ patterns.

About

Golang Pro transforms Claude into a senior Go engineer capable of architecting scalable backend systems, optimizing memory usage, and implementing complex concurrency patterns. This skill focuses on production-grade code, leveraging the latest features like generics and Go 1.21+ built-ins while strictly adhering to Go proverbs and idiomatic error handling. Whether you are building low-latency gRPC microservices, efficient CLI tools, or implementing table-driven test suites, this skill ensures your Go projects are robust, performant, and maintainable.

Key Features

Expert implementation of goroutines, channels, and sync primitives for safe concurrency
High-performance microservice development with gRPC and context-aware REST APIs
Comprehensive testing strategies featuring table-driven tests, benchmarks, and fuzzing
Clean architecture design using interfaces, composition, and internal package structures
Modern Go 1.21+ features including generics, type constraints, and standard library optimizations
7 GitHub stars

Use Cases

Building scalable, cloud-native microservices with robust error propagation and observability
Optimizing existing Go codebases for memory efficiency and CPU performance using pprof
Developing high-concurrency data processing pipelines with managed goroutine lifecycles

About

Key Features

Expert implementation of goroutines, channels, and sync primitives for safe concurrency
High-performance microservice development with gRPC and context-aware REST APIs
Comprehensive testing strategies featuring table-driven tests, benchmarks, and fuzzing
Clean architecture design using interfaces, composition, and internal package structures
Modern Go 1.21+ features including generics, type constraints, and standard library optimizations
7 GitHub stars

Use Cases

Building scalable, cloud-native microservices with robust error propagation and observability
Optimizing existing Go codebases for memory efficiency and CPU performance using pprof
Developing high-concurrency data processing pipelines with managed goroutine lifecycles