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Golang Popular Libraries

CommunityPopular
samber
golang-popular-libraries

Golang library and framework selection — vetted production-ready options by category (web, database, testing, logging, messaging), new and experimental stdlib packages, standard-library-first tradeoffs, and maturity signals (maintenance, license, importer counts). Apply when the user asks for library suggestions, wants to compare alternatives, needs to choose a library for a specific task, or when a new dependency is being added to the project. Not for a specific library's API once chosen (→ See that library's dedicated skill, e.g. `samber/cc-skills-golang@golang-samber-lo`), nor for go.mod mechanics, upgrades, or vulnerability audits (→ See `samber/cc-skills-golang@golang-dependency-management` skill).

Overview

Publishersamber
Repositorycc-skills-golang
Skill namegolang-popular-libraries
Stars
3.3K
Forks
213
Bundled files
4
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.

  • 4 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 Popular Libraries 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-popular-libraries .claude/skills/golang-popular-libraries
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Golang Popular Libraries 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 Popular Libraries 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 Popular Libraries 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 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 — refer to library documentation and code examples for more information:

  • When exploring a candidate library, → See samber/cc-skills-golang@golang-pkg-go-dev skill (godig) for docs, symbols, versions, importers, and known vulnerabilities — prefer it over Context7 for Go package facts.
  • Once a candidate is added to your build, → See samber/cc-skills-golang@golang-gopls skill (gopls) to browse its actual resolved source and compare candidates side by side.
  • Context7 remains a fallback for docs not indexed on pkg.go.dev.

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. Use a module's imported-by count on pkg.go.dev as a popularity and indirect quality signal — widely-imported libraries are more battle-tested and have stronger backward-compatibility pressure; → See samber/cc-skills-golang@golang-pkg-go-dev skill to count importers and compare alternatives
  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-pkg-go-dev skill to vet a candidate library on pkg.go.dev — versions, importers, licenses, and known vulnerabilities — before adopting it
  • → See samber/cc-skills-golang@golang-samber-do skill for samber/do dependency injection details
  • → See samber/cc-skills-golang@golang-samber-hot skill for samber/hot in-memory caching 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

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 Popular Libraries AI skill do?

Golang library and framework selection — vetted production-ready options by category (web, database, testing, logging, messaging), new and experimental stdlib packages, standard-library-first tradeoffs, and maturity signals (maintenance, license, importer counts). Apply when the user asks for library suggestions, wants to compare alternatives, needs to choose a library for a specific task, or when a new dependency is being added to the project. Not for a specific library's API once chosen (→ See that library's dedicated skill, e.g. `samber/cc-skills-golang@golang-samber-lo`), nor for go.mod...

Why use Golang Popular Libraries on TypingMind?

Because you install it once and use it with any model. Golang Popular Libraries 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 Popular Libraries in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/samber/cc-skills-golang/tree/main/skills/golang-popular-libraries. 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 Popular Libraries?

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 Popular Libraries?

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

Is the Golang Popular Libraries 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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