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Golang Lint

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samber
golang-lint

Linting best practices and golangci-lint configuration for Golang projects — running linters, configuring .golangci.yml, suppressing warnings with nolint directives, interpreting lint output, and selecting linters. Use when configuring golangci-lint, asking about lint warnings or nolint suppressions, setting up code quality tooling, or choosing linters. Also use when the user mentions golangci-lint, go vet, staticcheck, or revive. Not for wiring a lint step into a GitHub Actions pipeline (→ See `samber/cc-skills-golang@golang-continuous-integration` skill).

Overview

Publishersamber
Repositorycc-skills-golang
Skill namegolang-lint
Stars
3.3K
Forks
213
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by samber on GitHub. Read the source before you install it.

Installation

Install the Golang Lint AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/samber/cc-skills-golang.git /tmp/cc-skills-golang
mkdir -p .claude/skills
cp -r /tmp/cc-skills-golang/skills/golang-lint .claude/skills/golang-lint
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Golang Lint in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Golang Lint on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Golang Lint is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Persona: You are a Go code quality engineer. You treat linting as a first-class part of the development workflow — not a post-hoc cleanup step.

Orchestration mode: Fan out the five sub-agents described in the "Parallelizing Legacy Codebase Cleanup" section (auto-fix, security linters, error handling, style/formatting, code quality) when adopting linting on a legacy codebase, so independent linter categories are fixed concurrently. On Claude Code, use ultracode to opt into multi-agent orchestration explicitly.

Modes:

  • Setup mode — configuring .golangci.yml, choosing linters, enabling CI: follow the configuration and workflow sections sequentially.
  • Coding mode — writing new Go code: launch a background agent running golangci-lint run --fix on the modified files only while the main agent continues implementing the feature; surface results when it completes.
  • Interpret/fix mode — reading lint output, suppressing warnings, fixing issues on existing code: start from "Interpreting Output" and "Suppressing Lint Warnings"; use parallel sub-agents for large-scale legacy cleanup.

Dependencies:

  • golangci-lint: go install github.com/golangci/golangci-lint/cmd/golangci-lint@latest

Go Linting

Overview

golangci-lint is the standard Go linting tool. It aggregates 100+ linters into a single binary, runs them in parallel, and provides a unified configuration format. Run it frequently during development and always in CI.

Every Go project MUST have a .golangci.yml — it is the source of truth for which linters are enabled and how they are configured. See the recommended configuration for a production-ready setup with 48 linters enabled.

Quick Reference

bash
# Run all configured linters
golangci-lint run ./...

# Auto-fix issues where possible
golangci-lint run --fix ./...

# Format code (golangci-lint v2+)
golangci-lint fmt ./...

# Run a single linter only
golangci-lint run --enable-only govet ./...

# List all available linters
golangci-lint linters

# Verbose output with timing info
golangci-lint run --verbose ./...

Configuration

The recommended .golangci.yml provides a production-ready setup with 33 linters. For configuration details, linter categories, and per-linter descriptions, see the linter reference — which linters check for what (correctness, style, complexity, performance, security), descriptions of all 33+ linters, and when each one is useful.

Suppressing Lint Warnings

Use //nolint directives sparingly — fix the root cause first.

go
// Good: specific linter + justification
//nolint:errcheck // fire-and-forget logging, error is not actionable
_ = logger.Sync()

// Bad: blanket suppression without reason
//nolint
_ = logger.Sync()

Rules:

  1. //nolint directives MUST specify the linter name: //nolint:errcheck not //nolint
  2. //nolint directives MUST include a justification comment: //nolint:errcheck // reason
  3. The nolintlint linter enforces both rules above — it flags bare //nolint and missing reasons
  4. NEVER suppress security linters (gosec, bodyclose, sqlclosecheck) without a very strong reason

For comprehensive patterns and examples, see nolint directives — when to suppress, how to write justifications, patterns for per-line vs per-function suppression, and anti-patterns.

Development Workflow

  1. Linters SHOULD be run after every significant change: golangci-lint run ./...
  2. Auto-fix what you can: golangci-lint run --fix ./...
  3. Format before committing: golangci-lint fmt ./...
  4. Incremental adoption on legacy code: set issues.new-from-rev in .golangci.yml to only lint new/changed code, then gradually clean up old code

Makefile targets (recommended):

makefile
lint:
	golangci-lint run ./...

lint-fix:
	golangci-lint run --fix ./...

fmt:
	golangci-lint fmt ./...

For CI pipeline setup (GitHub Actions with golangci-lint-action), see the samber/cc-skills-golang@golang-continuous-integration skill.

Interpreting Output

Each issue follows this format:

path/to/file.go:42:10: message describing the issue (linter-name)

The linter name in parentheses tells you which linter flagged it. Use this to:

  • Look up the linter in the reference to understand what it checks
  • Suppress with //nolint:linter-name // reason if it's a false positive
  • Use golangci-lint run --verbose for additional context and timing

Common Issues

ProblemSolution
"deadline exceeded"Set or increase run.timeout in .golangci.yml; golangci-lint v2 defaults to no timeout (0)
Too many issues on legacy codeSet issues.new-from-rev: HEAD~1 to lint only new code
Linter not foundCheck golangci-lint linters — linter may need a newer version
Conflicts between lintersDisable the less useful one with a comment explaining why
v1 config errors after upgradeRun golangci-lint migrate to convert config format
Slow on large reposReduce run.concurrency or exclude paths with linters.exclusions.paths / formatters.exclusions.paths

Parallelizing Legacy Codebase Cleanup

When adopting linting on a legacy codebase, use up to 5 parallel sub-agents to fix independent linter categories simultaneously:

  • Sub-agent 1: Run golangci-lint run --fix ./... for auto-fixable issues
  • Sub-agent 2: Fix security linter findings (bodyclose, sqlclosecheck, gosec)
  • Sub-agent 3: Fix error handling issues (errcheck, nilerr, wrapcheck)
  • Sub-agent 4: Fix style and formatting (gofumpt, goimports, revive)
  • Sub-agent 5: Fix code quality (gocritic, unused, ineffassign)

Cross-References

  • → See samber/cc-skills-golang@golang-continuous-integration skill for CI pipeline with golangci-lint-action
  • → See samber/cc-skills-golang@golang-code-style skill for style rules that linters enforce
  • → See samber/cc-skills-golang@golang-security skill for SAST tools beyond linting (gosec, govulncheck)
  • → See samber/cc-skills-golang@golang-continuous-integration skill for automated AI-driven code review in CI using these guidelines

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Golang Lint AI skill do?

Linting best practices and golangci-lint configuration for Golang projects — running linters, configuring .golangci.yml, suppressing warnings with nolint directives, interpreting lint output, and selecting linters. Use when configuring golangci-lint, asking about lint warnings or nolint suppressions, setting up code quality tooling, or choosing linters. Also use when the user mentions golangci-lint, go vet, staticcheck, or revive. Not for wiring a lint step into a GitHub Actions pipeline (→ See `samber/cc-skills-golang@golang-continuous-integration` skill).

Why use Golang Lint on TypingMind?

Because you install it once and use it with any model. Golang Lint is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Golang Lint in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/samber/cc-skills-golang/tree/main/skills/golang-lint. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Golang Lint?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Golang Lint?

As many as you like. As long as a model supports skills, you can use Golang Lint with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Golang Lint AI skill free?

Yes. It is published on GitHub by samber under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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