Go Agent Skills: Bring Go Expertise to Your AI Coding Agent

Where this fits

You assign your coding agent a task like "refactor this HTTP handler to use middleware properly." Without guidance, it produces code that looks like Java wearing a Go trench coat: verbose error handling, generic interfaces, and naked return err statements. The Go Agent Skills repository packages 33 spec-compliant, installable skills that inject experienced Go engineering practices directly into your agent's context, turning it from a syntax-completer into a colleague who knows why context.WithTimeout belongs in the caller.

Why agents benefit

• Context-aware idioms: Skills like error-handling and concurrency-patterns teach the agent to follow Go conventions—wrap errors, avoid panic, and use select for channels—instead of improvising from generic training data.
• Project-aware scaffolding: The project-layout and module-structure skills guide the agent to match standard Go project organization, so generated code fits existing repositories without a rewrite.
• Testing discipline: The testing skill enforces table-driven tests and go vet/staticcheck hygiene, producing code that passes review and CI on the first attempt.
• Toolchain awareness: Skills cover go mod, build tags, and //go:generate, ensuring the agent respects the module ecosystem and tooling boundaries.
• Attack surface reduction: Security-focused skills (e.g., http-security) prevent common pitfalls like SQL injection and misplaced secrets, reducing post-merge fixes.

Practical scenarios

Refactoring legacy handlers

An agent with the http-handlers skill can identify where stored global state leaks into handlers and refactor to use http.HandlerFunc closures and dependency injection, matching idiomatic patterns already used in your codebase.

Onboarding a new developer's agent

When a new dev clones your repo and runs claude or codex, the skills loaded from the repository automatically align the agent's output with your team's Go standards—no lengthy SOPs or style guides to copy-paste.

Generating production-grade CLI tools

Instead of a cobra scaffold that just parses flags, agents with cli-design and logging skills produce structured commands with proper exit codes, --help text, and leveled logging—ready for deployment.

Add it to your agent workflow

Installing takes one command in any agent that supports the Agent Skills specification (Claude Code, Codex, Cursor, and others):

npx skills add eduardo-sl/go-agent-skills

That's it. The skills register as a bundle, and your next agent invocation will automatically fetch and apply the relevant skill based on the file types and task description. For example, asking an agent to "add a health check endpoint" will now trigger the http-handlers and middleware skills, producing idiomatic net/http code rather than a custom handler wrapper with an embedded logger.

For a browsable list of all 33 skills and their individual documentation, see the skills listing.

Compare before adopting

• Quality signals: Check the repository's CI status (it validates each skill's spec compliance), star count, and recent commits. 65 stars is modest but growing; the validation workflow is a strong signal of maintenance discipline.
• Maintenance freshness: Look at the last commit date and whether the maintainer (eduardo-sl) responds to issues. A skill that isn't updated for Go's 1.22+ features will quickly become stale.
• Alternatives: Compare with other Go-focused skill bundles or generic coding agents that rely on system prompts. The distinguishing factor here is spec compliance—installable across multiple agents without vendor lock-in.
• Workflow fit: Assess if the skills align with your team's existing Go patterns (e.g., do you use mockgen? The skills may need customization). The repo includes a docs/customization.md for overrides.

Why it is worth tracking

This project sits at the intersection of two fast-moving trends: the Agent Skills specification standardizing how agents consume context, and the growing need for language-specific expertise in agent tooling. The 33 skills are not just a static package—they are versioned, validated, and designed to be composed. As the spec evolves and more agents adopt it, this skill bundle becomes a reference point for how a community can encode hard-won engineering practices into re-usable agent capabilities. Track it now if you work with Go agents; it's a clear signal that agent-driven development is maturing beyond boilerplate generation.