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golang-testing

Generate idiomatic Go tests with table-driven patterns and TDD workflows.

2|Updated Mar 12, 2026
Search Tags:#testing#tdd#golang#go#test coverage#benchmarks#fuzzing
One-click install
npx skills add https://github.com/sayasaya8039/ZWG_Terminal --skill golang-testing-sayasaya8039
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: golang-testing
Source: https://github.com/sayasaya8039/ZWG_Terminal/tree/main/.claude/skills/golang-testing
Command: npx skills add https://github.com/sayasaya8039/ZWG_Terminal --skill golang-testing-sayasaya8039

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Go developers frequently write tests that are inconsistent, non-idiomatic, or fail to cover edge cases, leading to flaky test suites, low code coverage, and undetected bugs that surface in production.

Core Features & Use Cases

  • TDD Workflow Guidance: Step-by-step RED-GREEN-REFACTOR cycle implementation for Go projects to ensure code is test-driven from the start.
  • Comprehensive Test Patterns: Pre-built templates for table-driven tests, subtests, parallel test execution, golden file testing, and interface-based mocking.
  • Advanced Testing Types: Native support for benchmark creation and fuzz testing to validate performance and input robustness.
  • Use Case: A backend engineer building a Go REST API can use this skill to implement 90%+ test coverage for public endpoints, catch edge cases with fuzz tests, and integrate automated test runs into their CI/CD pipeline.

Quick Start

Use the golang-testing skill to write a full set of table-driven tests for your new Go utility function following TDD principles.

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 edge cases?▼

Table-driven tests in Go structure multiple test cases into a single loop, ensuring consistent edge case coverage. This approach standardizes input validation and expected output verification across your test suite.

What is the best way to implement TDD for a new Go REST API feature?▼

Implementing TDD for a Go REST API involves following the RED-GREEN-REFACTOR cycle to ensure code is test-driven from the start. This workflow guarantees public endpoints meet reliability standards before integration.

How do I use Go fuzz testing to catch input validation bugs?▼

Go fuzz testing automatically generates random inputs to pass into your functions, validating input robustness and catching edge cases. It exposes unexpected panics and bugs that traditional unit tests miss.

Can I run parallel test execution and mock dependency injection in Go?▼

You can run parallel test execution and use interface-based mock dependency injection in Go to isolate components and speed up test suites. This combination reduces flaky tests and ensures reliable code verification.

How do I integrate Go test coverage reporting into a CI/CD pipeline?▼

Integrating Go test coverage reporting into a CI/CD pipeline involves running automated tests and generating coverage metrics during builds. This ensures continuous validation of code reliability and prevents regressions.

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