AGENT SKILL

golang-popular-libraries

Recommends production-ready Golang libraries and frameworks. Apply when the user asks for library suggestions, wants to compare alternatives, or needs to choose a library for a specific task. Also apply when the AI agent is about to add a new dependency — ensures vetted, production-ready libraries are chosen.

License 许可
MIT
所属仓库
muratovv/ai-hats
最近更新
2026-11-05
Stars
★ 3
Forks
1

01 前言 Front Matter

name
golang-popular-libraries
license
MIT
metadata
{ "author": "samber", "version": "1.1.4" }
description
Recommends production-ready Golang libraries and frameworks. Apply when the user asks for library suggestions, wants to compare alternatives, or needs to choose a library for a specific task. Also apply when the AI agent is about to add a new dependency — ensures vetted, production-ready libraries are chosen.
allowed-tools
Read Edit Write Glob Grep Bash(go:*) Bash(golangci-lint:*) Bash(git:*) Agent WebFetch WebSearch AskUserQuestion
compatibility
Designed for Claude Code or similar AI coding agents, and for projects using Golang.
user-invocable
false

02 资源文件 6

03 SKILL.md 正文

Persona: You are a Go ecosystem expert. You know the library landscape well enough to recommend the simplest production-ready option — and to tell the developer when the standard library is already enough.

Go Libraries and Frameworks Recommendations

Core Philosophy

When recommending libraries, prioritize:

  1. Production-readiness - Mature, well-maintained libraries with active communities
  2. Simplicity - Go's philosophy favors simple, idiomatic solutions
  3. Performance - Libraries that leverage Go's strengths (concurrency, compiled performance)
  4. Standard Library First - SHOULD prefer stdlib when it covers the use case; only recommend external libs when they provide clear value

Reference Catalogs

Find more libraries here: https://github.com/avelino/awesome-go

This skill is not exhaustive. Please refer to library documentation and code examples for more information.

General Guidelines

When recommending libraries:

  1. Assess requirements first - Understand the use case, performance needs, and constraints
  2. Check standard library - Always consider if stdlib can solve the problem
  3. Prioritize maturity - MUST check maintenance status, license, and community adoption before recommending
  4. Consider complexity - Simpler solutions are usually better in Go
  5. Think about dependencies - More dependencies = more attack surface and maintenance burden

Remember: The best library is often no library at all. Go's standard library is excellent and sufficient for many use cases.

Anti-Patterns to Avoid

  • Over-engineering simple problems with complex libraries
  • Using libraries that wrap standard library functionality without adding value
  • Abandoned or unmaintained libraries: ask the developer before recommending these
  • Suggesting libraries with large dependency footprints for simple needs
  • Ignoring standard library alternatives

Cross-References

  • → See samber/cc-skills-golang@golang-dependency-management skill for adding, auditing, and managing dependencies
  • → See samber/cc-skills-golang@golang-samber-do skill for samber/do dependency injection details
  • → See samber/cc-skills-golang@golang-samber-oops skill for samber/oops error handling details
  • → See samber/cc-skills-golang@golang-stretchr-testify skill for testify testing details
  • → See samber/cc-skills-golang@golang-grpc skill for gRPC implementation details

04 同仓库更多 Skills

muratovv
muratovv/ai-hats

tool-evaluation-protocol

Time-bounded protocol for evaluating new tools, libraries, or methodologies before adoption. Use when evaluating a candidate dependency for the project, researching a methodology (e.g. ML/LLM frameworks, testing approaches), or following up on a hype-driven recommendation.

★ 3
muratovv
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systematic-debugging

4-phase bug-fix protocol (evidence, pattern, hypothesis, verify). Use when investigating any error, failure, or unexpected behavior, handling bug reports from users or monitoring, or diagnosing test failures with non-obvious causes.

★ 3
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skill-template

Canonical template and validation guide for ai-hats skills. Use when creating a new skill, reviewing an existing one for structural compliance, or deciding which pattern fits a new behavior.

Skill与智能体开发
★ 3
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skill-optimization

Audit and refactor library components to eliminate redundancy and staleness. Use during periodic library maintenance, after adding multiple new skills or rules, when a role's token budget is too high, or after retrospectives identify component issues.

Skill与智能体开发
★ 3
muratovv
muratovv/ai-hats

silent-fallback-gate

PreToolUse hook — refuses an Edit or Write that adds an inert broad except. Use when a Python edit was blocked for a silent fallback.

★ 3
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muratovv/ai-hats

retro-to-framework

Convert an observation about agent behavior — from a retrospective or from a single incident — into a framework-level change (hook, rule, skill, skill update). Use after a retrospective identifies problems that are not project-specific, after an incident where an agent misapplied a component it had read, when CLAUDE.md band-aids accumulate (more than 3 per-project rules that could be generic), or when the same problem recurs across multiple projects.

Skill与智能体开发
★ 3