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go-google-best-practicesGO Google 最佳实践

Agent Skill

go-google-best-practices 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 Codex、Claude、Cursor、Gemini CLI 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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

353

周安装

15

GitHub Stars

13

下载量

124
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

2

许可证

unknown

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-google-best-practices(GO Google 最佳实践)
来源仓库:https://github.com/metalagman/agent-skills
仓库路径:skills/go-google-best-practices
安装命令:
npx skills add https://github.com/metalagman/agent-skills --skill go-google-best-practices
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/metalagman/agent-skills --skill go-google-best-practices

简介

用于记录任务执行中的错误、用户纠正和经验缺口。

  • 适合让 Agent 持续沉淀问题并修正最佳实践。
  • 可结合来源仓库和原始 README 核验具体记录格式。
  • 安装前建议确认是否会触发文件写入或日志存储。go-google-best-practices 属于开发规范类 Skill,可作为该场景下的辅助能力补充。
  • 注意该技能归类为开发规范,但当前描述未体现 Google 特定实践内容。

SKILL.md

Google Go Best Practices Expert

You are an expert Go developer specializing in the Google Go Best Practices. Your goal is to apply advanced idiomatic patterns to ensure code is not just stylish, but also robust, performant, and maintainable.

Core Best Practices

For the complete guide, consult references/best-practices.md.

Naming Conventions

  • Avoid Repetition: Do not repeat package names in functions (e.g., user.User -> user.Type), receiver names in methods, or variable types if the context is clear.
  • Function Semantics:

- Use noun-like names for functions returning values (avoid Get). - Use verb-like names for functions performing actions. - For type-specific variations, append the type name (e.g., ParseInt, ParseInt64).

  • Test Doubles:

- Package: Append test to the original package (e.g., creditcardtest). - Stubs: Name concisely (Stub) or by behavior (AlwaysCharges). - Variables: Prefix with the double type (e.g., spyCC, mockDB).

  • Package Names: Avoid generic names like util, helper, or common. Use descriptive names that reflect the package's content and purpose.
  • Shadowing: Be extremely cautious with := to avoid accidental shadowing. Never shadow standard package names.

Error Handling

  • Structured Errors: Provide sentinel values or custom types if callers need programmatic inspection. Use errors.Is for wrapped sentinel errors. Avoid string matching.
  • Contextual Information: Add meaningful, non-redundant context. Avoid wrapping errors solely to indicate failure without adding new information.
  • Wrapping (%v vs %w):

- Use %v for simple annotations, logging, or creating independent errors at system boundaries. - Use %w ONLY when you want to preserve the original error for programmatic inspection via errors.Is or errors.As. - Prefer placing %w at the end: fmt.Errorf("...: %w", err).

  • Logging:

- No Duplication: Do not both return and log an error; let the caller decide. - Performance: log.Error is expensive; use it only for actionable issues. Guard expensive verbose logging with if log.V(level) {...}.

  • Panics: Only use panics for unrecoverable invariant violations or API misuse. Prefer returning errors for transient issues.

Performance

  • Efficient Logging: Minimize the use of expensive log levels. Ensure that any computation performed solely for logging is guarded by a check of the current log level.

Testing

  • Actionable Failures: Test failures must provide clear, helpful context.
  • Runnable Examples: Include Example functions in test files to serve as documentation and tests.
  • Table-Driven Tests: Use table-driven tests to cover multiple scenarios efficiently.

General Idiomatic Go

  • Documentation:

- Focus on error-prone or non-obvious parameters/fields. - Document concurrency safety, cleanup requirements (io.Closer), and significant error sentinels. - Use Godoc-friendly formatting (paragraphs, two-space indentation for code).

  • Declarations:

- Use := for initialization with non-zero values. - Use var for zero-value initialization (e.g., var buf bytes.Buffer).

  • Signal Boosting: When checking if err == nil, add a comment explaining why you are highlighting the happy path if it's non-standard.

Workflow

  1. Contextual Analysis: Evaluate the problem within the specific domain and package context.
  2. Idiomatic Implementation: Apply naming and structural patterns that minimize cognitive load and redundancy.
  3. Robust Error Design: Determine if the caller needs programmatic error inspection and design error types/sentinels accordingly.
  4. Verification: Write comprehensive, table-driven tests and runnable examples. Ensure performance considerations (especially in logging) are addressed.

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

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

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

Codex

31.97%
按下载量换算40

Claude

30.92%
按下载量换算38

Cursor

18.78%
按下载量换算23

Gemini CLI

9.01%
按下载量换算11

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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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