golang-testing

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

2|1|Updated Oct 4, 2025
One-click install
npx skills add https://github.com/andrew-starosciak/deep-algo --skill golang-testing-andrew-starosciak
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: golang-testing
Source: https://github.com/andrew-starosciak/deep-algo/tree/main/.claude/docs/zh-TW/skills/golang-testing
Command: npx skills add https://github.com/andrew-starosciak/deep-algo --skill golang-testing-andrew-starosciak

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Go teams often struggle to write reliable tests that prove correctness and protect against regressions. This Skill provides a structured approach to testing in Go, covering table-driven tests, subtests, benchmarks, fuzzing, and test coverage patterns to improve confidence and maintainability.

Core Features & Use Cases

  • Table-driven tests: Write concise, scalable tests that cover multiple inputs and edge cases with a single test function.
  • Subtests & parallelism: Organize related scenarios and run them concurrently to speed up feedback.
  • Benchmarks & performance validation: Include benchmarks to measure and compare performance characteristics.
  • Fuzzing (Go 1.18+): Introduce randomized inputs to discover unexpected edge cases.
  • Test coverage guidance: Use coverage reports to drive test quality goals and identify gaps.
  • Use case example: A Go parser project uses table-driven tests to validate token sequences, fuzzing to surface invalid inputs, and benchmarks to monitor parsing speed.

Quick Start

Install Go and create go test files alongside your code. Start with a small function and a failing test, then implement the function to pass the test (TDD). Expand to table-driven tests, add subtests and parallelism, run benchmarks with go test -bench, enable fuzzing with go test -fuzz, and generate coverage reports with go test -cover.

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 to cover multiple edge cases?

Table-driven tests in Go use a single test function to iterate over multiple inputs and expected outputs, covering edge cases concisely. You define test cases as struct slices and loop through them, keeping tests scalable and maintainable.

What's the best way to start fuzzing in Go to find unexpected invalid inputs?

Fuzzing in Go requires version 1.18 or higher and uses randomized inputs to discover unexpected edge cases. You write a fuzz target function and run it with the go test -fuzz command to surface invalid inputs automatically.

How do I run benchmarks and measure performance in Go testing workflows?

Go benchmarks measure and compare performance characteristics using testing.B functions. You write benchmark functions alongside your tests and execute them with the go test -bench command to monitor parsing speed or performance regressions.

Does Go testing support parallel subtests to speed up test feedback?

Go testing supports organizing related scenarios as subtests and running them concurrently. By calling t.Parallel() within your subtests, you can run them in parallel to significantly speed up test feedback during development.

How do I generate test coverage reports in Go to identify testing gaps?

Go test coverage reports identify gaps in your testing by tracking executed code paths. You generate coverage data using the go test -cover command, which helps drive test quality goals and highlights untested logic.

Can I follow TDD workflows using standard Go testing patterns?

TDD workflows in Go involve writing a failing test for a small function, then implementing the code to pass it. This structured approach uses idiomatic Go testing practices to ensure reliable, maintainable code that protects against regressions.