golang-testing

Automate Go testing patterns including table-driven tests, subtests, benchmarks, and fuzzing.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Maelwalser/claude-config --skill golang-testing-maelwalser
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: golang-testing
Source: https://github.com/Maelwalser/claude-config/tree/main/skills/golang-testing
Command: npx skills add https://github.com/Maelwalser/claude-config --skill golang-testing-maelwalser

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Go projects often struggle with maintaining reliable tests and consistent testing patterns. This Skill provides Go testing patterns such as table-driven tests, subtests, benchmarks, fuzzing, and test coverage to help you write robust, maintainable tests and adopt a TDD workflow.

Core Features & Use Cases

  • Table-Driven Tests: Define multiple cases succinctly and run them with t.Run for isolated execution.
  • Benchmarks and Performance Testing: Benchmark functions to measure and optimize performance.
  • Fuzzing and Property Testing: Fuzz inputs to validate resilience and edge cases.
  • Guidance for TDD Workflows: RED-GREEN-REFACTOR loop, step-by-step examples, and best practices for maintainable tests.

Quick Start

Start by implementing a simple table-driven test, then add subtests, benchmarks, and fuzzing as your project requires.

Frequently Asked Questions about golang-testing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write table-driven tests in Go?▼

Table-driven tests in Go define multiple test cases succinctly and execute them with t.Run for isolated subtest runs. This pattern provides clear, maintainable coverage across various inputs without duplicating test logic.

What is the best way to start TDD with Go testing?▼

Start TDD with Go testing by following the RED-GREEN-REFACTOR loop. Write a failing test first, implement code to pass it, then refine the code while maintaining robust, maintainable test coverage.

How does fuzzing work in Go 1.18+?▼

Fuzzing in Go 1.18+ validates resilience by automatically generating varied inputs to find edge cases. It uses the standard testing package to fuzz inputs and ensures your Go code handles unexpected data robustly.

How do I measure performance with Go benchmarks?▼

Go benchmarks measure performance using benchmark functions in the standard testing package. They run code repeatedly to report execution time, helping you analyze and optimize performance bottlenecks across your Go codebase.

Do I need Go 1.18+ for fuzzing and table-driven tests?▼

You need Go 1.18+ specifically for native fuzzing support, which integrates with the standard testing package. Table-driven tests, subtests, and benchmarks function on earlier Go versions using standard tooling.

Can I run subtests and benchmarks together in a Go test suite?▼

Yes, Go testing supports running subtests and benchmarks together within the same test suite. Using t.Run for subtests and benchmark functions allows isolated execution and performance measurement across your Go codebase.