go-lint-audit

Audit Go projects with golangci-lint and explain each finding in plain language.

19|1|Updated Dec 16, 2025
One-click install
npx skills add https://github.com/gopherguides/gopher-ai --skill go-lint-audit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: go-lint-audit
Source: https://github.com/gopherguides/gopher-ai/tree/main/agent-skills/skills/go-lint-audit
Command: npx skills add https://github.com/gopherguides/gopher-ai --skill go-lint-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps Go teams understand and act on golangci-lint findings, improving code quality and lint configuration.

Core Features & Use Cases

  • Run golangci-lint with a comprehensive linter set and categorize findings by severity.
  • Explain each finding in plain language with actionable fixes and example reforms.
  • Recommend project-specific golangci-lint configuration improvements to reduce noise and false positives.
  • Use Case: A Go service that accrues noisy warnings gets clear explanations and a tailored config to reduce alerts.

Quick Start

Run the audit on your Go project to generate explanations for findings and a tailored golangci-lint configuration.

Frequently Asked Questions about go-lint-audit

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

FAQPage Schema
How do I explain golangci-lint findings in plain language?

To explain golangci-lint findings, this audit groups warnings by severity and translates each finding into plain language with actionable fixes and example code reforms. It helps Go teams understand and act on code quality issues without manually interpreting complex lint output.

What is the best way to optimize golangci-lint configuration to reduce false positives?

The best way to optimize golangci-lint configuration is to run a comprehensive audit that recommends project-specific improvements. This reduces noise and false positives by tailoring the linter set and rules to match your specific Go codebase requirements.

How do I run static analysis on a Go project and group findings by category?

You run static analysis on a Go project by applying a comprehensive linter set through golangci-lint. The audit automatically categorizes the resulting findings by severity and category, providing clear explanations and configuration improvements for each issue.

Does this golangci-lint audit work for typical Go codebases undergoing code quality reviews?

Yes, this golangci-lint audit is designed for typical Go codebases undergoing code quality reviews and configuration optimization. It accepts standard Go projects and produces categorized findings, plain-language explanations, and tailored lint configurations.

Why does my Go service accrue noisy warnings during linting?

Your Go service accrues noisy warnings because the default golangci-lint configuration is not tailored to your project. The audit addresses this by explaining each finding and proposing a customized configuration to reduce unnecessary alerts.

What are the limitations of using a comprehensive linter set for Go code quality?

Using a comprehensive linter set for Go code quality can generate excessive noise and false positives if not properly configured. The audit mitigates this by evaluating your findings and recommending project-specific configuration improvements to filter irrelevant warnings.