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goGO 工具

Agent Skill

go 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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

881

周安装

36

GitHub Stars

41

下载量

285
CodexClaudeCursorGemini CLI

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

3

许可证

MIT

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:go(GO 工具)
来源仓库:https://github.com/maragudk/skills
仓库路径:skills/go
安装命令:
npx skills add https://github.com/maragudk/skills --skill go
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/maragudk/skills --skill go

简介

用于查找、检索和筛选相关信息。go 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适合根据关键词或任务线索定位内容。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • 建议结合仓库 README 验证实际功能。
  • 安装前需知悉是否触发命令执行或网络访问。
  • 支持 Codex、Claude、Cursor 等宿主系统。

SKILL.md

Go

This is a guide for how to develop applications and modules/libraries in Go.

Some of it is only applicable for applications, not modules used as libraries in other projects, such as database access and running a server.

Application structure

Generally, I build web applications and libraries/modules.

These are the packages typically present in applications (some may be missing, which typically means I don't need them in the project).

  • main: contains the main entry point of the application (in directory cmd/app)
  • model: contains the domain model used throughout the other packages
  • sql/sqlite/postgres: contains SQL database-related logic as well as database migrations (under subdirectory migrations/) and test fixtures (under subdirectory testdata/fixtures/). The database used is either SQLite or PostgreSQL.
  • sqltest/sqlitetest/postgrestest: package used in testing, for setting up and tearing down test databases
  • s3: logic for interacting with Amazon S3 or compatible object stores
  • s3test: package used in testing, for setting up and tearing down test S3 buckets
  • llm: clients for interacting with large language models (LLMs) and foundation models
  • llmtest: package used in testing, for setting up LLM clients for testing
  • http: HTTP handlers for the application
  • html: HTML templates for the application, written with the gomponents library (see https://www.gomponents.com/llms.txt for how to use that if you need to)

Code style

Dependency injection

I make heavy use of dependency injection between components. This is typically done with private interfaces on the receiving side. Note the use of userGetter in this example:

package http

import (
	"net/http"

	"github.com/go-chi/chi/v5"
	"maragu.dev/httph"

	"model"
)

type UserResponse struct {
	Name string
}

type userGetter interface {
	GetUser(ctx context.Context, id model.ID) (model.User, error)
}

func User(r chi.Router, db userGetter) {
	r.Get("/user", httph.JSONHandler(func(w http.ResponseWriter, r *http.Request, _ any) (UserResponse, error) {
		id := r.URL.Query().Get("id")
		user, err := db.GetUser(r.Context(), model.ID(id))
		if err != nil {
			return UserResponse{}, httph.HTTPError{Code: http.StatusInternalServerError, Err: errors.New("error getting user")}
		}
		return UserResponse{Name: user.Name}, nil
	}))
}

Tests

I write tests for most functions and methods. I almost always use subtests with a good description of whats is going on and what the expected result is.

Here's an example:

package example

type Thing struct {}

func (t *Thing) DoSomething() (bool, error) {
	return true, nil
}
package example_test

import (
	"testing"

	"maragu.dev/is"

	"example"
)

func TestThing_DoSomething(t *testing.T) {
	t.Run("should do something and return a nil error", func(t *testing.T) {
		thing := &example.Thing{}

		ok, err := thing.DoSomething()
		is.NotError(t, err)
		is.True(t, ok)
	})
}

Sometimes I use table-driven tests:

package example

import "errors"

type Thing struct {}

var ErrChairNotSupported = errors.New("chairs not supported")

func (t *Thing) DoSomething(with string) error {
	if with == "chair" {
		return ErrChairNotSupported
	}
	return nil
}
package example_test

import (
	"testing"

	"maragu.dev/is"

	"example"
)

func TestThing_DoSomething(t *testing.T) {
	tests := []struct {
		name     string
		input    string
		expected error
	}{
		{name: "should do something with the table and return a nil error", input: "table", expected: nil},
		{name: "should do something with the chair and return an ErrChairNotSupported", input: "chair", expected: example.ErrChairNotSupported},
	}

	for _, test := range tests {
		t.Run(test.name, func(t *testing.T) {
			thing := &example.Thing{}

			err := thing.DoSomething(test.input)
			if test.expected != nil {
				is.Error(t, test.expected, err)
			} else {
				is.NotError(t, err)
			}
		})
	}
}

I prefer integration tests with real dependencies over mocks, because there's nothing like the real thing. Dependencies are typically run in Docker containers. You can assume the dependencies are running when running tests.

It makes sense to use mocks when the important part of a test isn't the dependency, but it plays a smaller role. But for example, when testing database methods, a real underlying database should be used.

I use test assertions with the module maragu.dev/is. Available functions: is.True, is.Equal, is.Nil, is.NotNil, is.EqualSlice, is.NotError, is.Error. All of these take an optional message as the last parameter.

Since tests are shuffled, don't rely on test order, even for subtests.

Every time the postgrestest.NewDatabase(t)/sqlitetest.NewDatabase(t) test helpers are called, the database is in a clean state (no leftovers from other tests etc.).

You can use database fixtures for tests. Prefer these for test data setups when multiple tests rely on the same or very similar data, so that every test doesn't have to set up the same data. They are in sqlite/testdata/fixtures/postgres/testdata/fixtures. Use them with sqlitetest.NewDatabase(t, sqlitetest.WithFixtures("fixture one", "fixture two")). They are applied in the order given.

Test helper functions should call testing.T.Helper().

In tests, use t.Context() instead of context.Background(), and always use it inline instead of pulling out into a ctx variable.

Miscellaneous

  • Variable naming:

- req for requests, res for responses

  • There are SQL helpers available, at Database.H.Select, Database.H.Exec, Database.H.Get, Database.H.InTx.
  • Use the any builtin in Go instead of interface{}
  • There's an alias for sql.ErrNoRows from stdlib at maragu.dev/glue/sql.ErrNoRows, so you don't have to import both
  • All HTML buttons need the cursor-pointer CSS class
  • SQLite time format is always a string returned by strftime('%Y-%m-%dT%H:%M:%fZ'). Use maragu.dev/glue/model.Time (usually aliased in model.Time in the project) instead of stdlib time.Time when working with the database.
  • Remember that private functions in Go are package-level, so you can use them across files in the same package
  • Documentation must follow the Go style of having the identifier name be the first word of the sentence, and then completing the sentence without repeating itself. Example: "// SearchProducts using the given search query and result limit." NOT: "// SearchProducts searches products using the given search query and result label."
  • Package-level identifiers must begin with lowercase by default, i.e. have package-level visibility, to make the API surface area towards other packages smaller.
  • Use fmt.Sprint when converting arbitrary values to strings, instead of functions from strconv.
  • Use new() (available since Go 1.26) instead of any pointer functions for making pointers to literals.

Testing, linting, evals

Run make test or go test -shuffle on./... to run all tests. To run tests in just one package, use go test -shuffle on./path/to/package. To run a specific test, use go test./path/to/package -run TestName.

Run make lint or golangci-lint run to run linters. They should always be run on the package/directory level, it won't work with single files.

Run make eval or go test -shuffle on -run TestEval./... to run LLM evals.

Run make fmt to format all code in the project, which is useful as a last finishing touch.

You can access the database by using psql or sqlite3 in the shell.

Documentation

You can generally look up documentation for a Go module using go doc with the module name. For example, go doc net/http for something in the standard library, or go doc maragu.dev/gai for a third-party module. You can also look up more specific documentation for an identifier with something like go doc maragu.dev/gai.ChatCompleter, for the ChatCompleter interface.

Checking apps in a browser

You can assume the app is running and available in a browser using the Chrome Dev Tools MCP tool. It auto-reloads on code changes so you don't have to. Log output from the running application is in app.log in the project root.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

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

Claude Code

28.08%
按下载量换算80

Antigravity

22.94%
按下载量换算65

OpenCode

15.63%
按下载量换算45

Gemini CLI

12.69%
按下载量换算36

Codex

7.55%
按下载量换算22

windsurf

3.48%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。

来源信息

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