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doccker
go-dev

Go 开发规范,包含命名约定、错误处理、并发编程、测试规范等

Overview

Publisherdoccker
Repositorycc-use-exp
Skill namego-dev
Stars
1.1K
Forks
116
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Go Dev 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.
    https://github.com/doccker/cc-use-exp/tree/main/.claude/skills/go-dev
  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/doccker/cc-use-exp.git /tmp/cc-use-exp
mkdir -p .claude/skills
cp -r /tmp/cc-use-exp/.claude/skills/go-dev .claude/skills/go-dev
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Go Dev 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 Go Dev 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 Go Dev 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.

Go 开发规范

参考来源: Effective Go、Go Code Review Comments、uber-go/guide


工具链

bash
goimports -w .                    # 格式化并整理 import
go vet ./...                      # 静态分析
golangci-lint run                 # 综合检查
go test -v -race -cover ./...     # 测试(含竞态检测和覆盖率)

命名约定

类型规则示例
包名小写单词,不用下划线user, orderservice
变量/函数驼峰命名,缩写词一致大小写userID, HTTPServer
常量导出用驼峰,私有可驼峰或全大写MaxRetryCount
接口单方法用方法名+erReader, Writer

禁止: common, util, base 等无意义包名


import 顺序

go
import (
    "context"           // 标准库
    "fmt"

    "github.com/gin-gonic/gin"  // 第三方库

    "project/internal/model"     // 项目内部
)

错误处理

必须处理错误,不能忽略:

go
// ✅ 好:添加上下文
if err != nil {
    return fmt.Errorf("failed to query user %d: %w", userID, err)
}

// ❌ 差:忽略错误
result, _ := doSomething()

错误包装: 使用 %w 保留错误链,用 errors.Is() / errors.As() 检查


并发编程

基本原则:

  • 优先使用 channel 通信
  • 启动 goroutine 前考虑:谁来等待它?怎么停止它?
  • 使用 context.Context 控制生命周期
go
// ✅ 好:使用 context 控制
func process(ctx context.Context) error {
    done := make(chan error, 1)
    go func() { done <- doWork() }()

    select {
    case err := <-done:
        return err
    case <-ctx.Done():
        return ctx.Err()
    }
}

数据竞争: 使用 go test -race 检测


测试规范

go
// 表驱动测试
func TestAdd(t *testing.T) {
    tests := []struct {
        name     string
        a, b     int
        expected int
    }{
        {"positive", 1, 2, 3},
        {"zero", 0, 0, 0},
    }

    for _, tt := range tests {
        t.Run(tt.name, func(t *testing.T) {
            got := Add(tt.a, tt.b)
            if got != tt.expected {
                t.Errorf("Add(%d, %d) = %d, want %d", tt.a, tt.b, got, tt.expected)
            }
        })
    }
}

性能优化

陷阱解决方案
循环中拼接字符串使用 strings.Builder
未预分配 slicemake([]T, 0, cap)
N+1 查询批量查询 + 预加载
无限制并发使用 semaphore 或 worker pool
Raw SQL 别名用了保留字避免 year_month/order/status/rank 等 MySQL 保留字做别名
bash
# 性能分析
go test -cpuprofile=cpu.prof -bench=.
go tool pprof cpu.prof

项目结构

project/
├── cmd/                    # 可执行文件入口
├── internal/               # 私有代码
│   ├── handler/
│   ├── service/
│   ├── repository/
│   └── model/
├── pkg/                    # 公共代码
├── go.mod
└── go.sum

详细参考

文件内容
references/go-style.md命名约定、错误处理、并发、测试、性能
references/date-time.md日期加减、账期计算、AddDate 溢出处理

📋 本回复遵循:go-dev - [具体章节]

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 Go Dev AI skill do?

Go 开发规范,包含命名约定、错误处理、并发编程、测试规范等

Why use Go Dev on TypingMind?

Because you install it once and use it with any model. Go Dev 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 Go Dev in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/doccker/cc-use-exp/tree/main/.claude/skills/go-dev. 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 Go Dev?

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 Go Dev?

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

Is the Go Dev AI skill free?

It is published on GitHub by doccker. Check the repository for licensing terms. 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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