golang-testing

Write table-driven Go tests, subtests, benchmarks, and fuzz tests.

1|Updated Mar 18, 2026
One-click install
npx skills add https://github.com/xxih/ai-harness-zh --skill golang-testing-xxih
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: golang-testing
Source: https://github.com/xxih/ai-harness-zh/tree/main/references/translations/everything-claude-code/docs/zh-CN/skills/golang-testing
Command: npx skills add https://github.com/xxih/ai-harness-zh --skill golang-testing-xxih

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Go projects often struggle with consistent and scalable testing practices. This skill provides structured patterns to write reliable, maintainable tests for Go code, reducing bugs and speeding up development.

Core Features & Use Cases

  • Table-driven testing to cover multiple inputs efficiently.
  • Subtests (t.Run) for organized, parallelizable test suites and easier debugging.
  • Benchmarks and fuzzing to measure performance and improve robustness.
  • Guidance on integrating tests into TDD workflows for iterative development.

Quick Start

Create and run table-driven tests and subtests, then add benchmarks and fuzz tests to validate correctness and performance.

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 use structs to define multiple input scenarios and expected outputs, iterating through them to execute assertions efficiently and ensure comprehensive code coverage.

What is the best way to structure subtests for parallel execution in Golang?

Subtests in Golang use t.Run to create nested test hierarchies, enabling parallel execution with t.Parallel to organize test suites, speed up execution, and isolate debug failures.

How do I measure performance using Go benchmarks?

Go benchmarks measure performance by writing functions prefixed with Benchmark and running go test -bench to evaluate code execution time and optimize performance-sensitive workflows.

Can I use fuzzing to improve robustness in Golang testing?

Fuzzing in Golang testing uses go test -fuzz to automatically generate randomized inputs, uncovering edge cases and improving overall code robustness against unexpected data.

Does TDD workflow integrate with go test tooling for iterative development?

TDD workflows integrate directly with go test tooling, guiding test-oriented development by writing tests first to shape code design, reduce bugs, and speed up iterative refactoring.