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golang-popular-librariesGo popular libraries 搜索

Agent Skill

golang-popular-libraries 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

8,823

周安装

379

GitHub Stars

公开资料未说明

下载量

3,093
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:golang-popular-libraries(Go popular libraries 搜索)
来源仓库:https://github.com/samber/golang-popular-libraries
安装命令:
openclaw skills install golang-popular-libraries
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install golang-popular-libraries

简介

golang-popular-libraries 提供生产就绪 Go 库和框架推荐列表。

  • 适合在 OpenClaw 中选择依赖库或比较替代方案时使用。
  • 涵盖 Web 框架、数据库驱动和实用工具库。
  • 安装命令:openclaw skills install golang-popular-libraries。
  • 建议确认权限范围、维护状态及是否会触发外部资源访问。

SKILL.md

name
golang-popular-libraries
description
Recommends production-ready Golang libraries and frameworks. Apply when the user explicitly 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.
user-invocable
true
license
MIT
compatibility
Designed for Claude Code or similar AI coding agents, and for projects using Golang.
metadata
author
samber
version
1.1.5
openclaw
emoji
📚
homepage
https://github.com/samber/cc-skills-golang
requires
bins
install
[]
allowed-tools
Read Edit Write Glob Grep Bash(go:*) Bash(golangci-lint:*) Bash(git:*) Agent WebFetch WebSearch AskUserQuestion

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

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

98.29%
按下载量换算3,040

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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