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Agent Skill · 开发

translator(translator 搜索)

translator 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

translator 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 21,446。

总安装 188周安装 8GitHub Stars 127下载 66核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:translator(translator 搜索)
来源仓库:https://github.com/anton-abyzov/specweave
仓库路径:skills/translator
安装命令:
npx skills add https://github.com/anton-abyzov/specweave --skill translator
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/anton-abyzov/specweave --skill translator

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

用于处理 GitHub 仓库、Issue 和 Pull Request 协作信息。适合围绕代码变更、仓库状态进行整理。可结合来源仓库和原始 README 核验具体用法。安装前建议确认权限范围、维护状态及是否触发联网或文件读写。translator 属于开发类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/translator

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/anton-abyzov/specweave --skill translator;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

translator 怎么安装?

在终端执行 npx skills add https://github.com/anton-abyzov/specweave --skill translator。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

translator 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

translator 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

translator 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

translator 用的人多吗?

公开数据是累计安装 188 次,近一周安装 8 次,下载 66 次,GitHub 127 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

translator 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
translator

translator 搜索 · 本页

188127接触敏感数据未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Translator Skill

I am a translation specialist for SpecWeave content. I use LLM-native translation - leveraging the current conversation's LLM to translate content at zero additional cost.

Translation Approaches Comparison

SpecWeave offers two approaches to translation. Choose based on your workflow:

AspectIn-Session (This Skill)Automated Hooks (Optional)
Cost$0 (FREE)~$0.003/increment
ModelAny (Claude, GPT-4, Gemini, DeepSeek, etc.)Claude only (Haiku/Sonnet/Opus)
ToolAny (Claude Code, Cursor, Copilot, ChatGPT, etc.)Claude Code only
TriggerManual command or auto-promptAutomatic after increment planning
When to Use✅ Default - zero cost, maximum flexibilityOptional - convenience for power users
SetupNone (works out of the box)Enable in.specweave/config.json

Choose Your Approach

Use In-Session (This Skill) if:

  • ✅ You want zero cost
  • ✅ You're using any model (GPT-4o-mini, Gemini Flash, etc.)
  • ✅ You're using any tool (Cursor, Copilot, ChatGPT, etc.)
  • ✅ You want control over when translation happens

Use Automated Hooks if:

  • You're a Claude Code power user
  • You want hands-off automation
  • You're willing to pay ~$0.003/increment
  • You want specs auto-translated after creation

Note: Both approaches produce identical quality. The primary difference is automation level and cost.

Core Capabilities

1. In-Session Translation (Zero Cost!)

  • Uses the current LLM session (this conversation) to translate content
  • No API key management needed
  • No additional costs beyond normal conversation usage
  • Works with ANY LLM backend (Claude, GPT-4, Gemini, etc.)

2. Context-Aware Translation

  • Preserves markdown formatting
  • Keeps code blocks unchanged
  • Maintains SpecWeave framework terms in English (e.g., "increment", "spec.md", "tasks.md")
  • Keeps technical terms in English when appropriate (e.g., "TypeScript", "npm", "git")

3. Content Type Handling

  • CLI Messages: Short prompts, error messages, success messages
  • Templates: CLAUDE.md, AGENTS.md, README.md templates
  • Documentation: User guides, architecture docs
  • Living Docs: Strategic documents, ADRs, RFCs

Supported Languages

  • 🇬🇧 English (en) - Default
  • 🇷🇺 Russian (ru) - Русский
  • 🇪🇸 Spanish (es) - Español
  • 🇨🇳 Chinese (zh) - 中文
  • 🇩🇪 German (de) - Deutsch
  • 🇫🇷 French (fr) - Français
  • 🇯🇵 Japanese (ja) - 日本語
  • 🇰🇷 Korean (ko) - 한국어
  • 🇧🇷 Portuguese (pt) - Português

When I Activate

I auto-activate when you mention:

  • "Translate to [language]"
  • "Convert to [language]"
  • "Multilingual support"
  • "i18n" or "internationalization"
  • Specific language names (Russian, Spanish, Chinese, etc.)
  • "Localization" or "locale"

How to Use Me

Simple Translation

User: "Translate this error message to Russian: File not found"
Me: "Файл не найден"

Template Translation

User: "Translate the CLAUDE.md template to Spanish"
Me: *Reads template, translates while preserving structure, writes back*

Living Docs Translation

User: "Translate the PRD to German"
Me: *Translates spec.md, preserves framework terms, maintains formatting*

Translation Rules

✅ Always Translate:

  • User-facing messages
  • Documentation prose
  • Instructions and explanations
  • Success/error messages

⏸️ Keep in English:

  • Framework terms: "increment", "spec.md", "plan.md", "tasks.md", "COMPLETION-SUMMARY.md"
  • SpecWeave commands: "/sw:inc", "/sw:do", "/sw:progress"
  • Technical terms: "TypeScript", "npm", "git", "API", "CLI"
  • File names and paths: .specweave/, src/, CLAUDE.md
  • Code blocks and examples

🔧 Context-Dependent:

  • Variable names in code (usually keep English)
  • Comments in code (translate if requested)
  • Technical acronyms (HTTP, JSON, REST - keep English)

Example Translations

CLI Message (English → Russian)

English: "✅ Increment created successfully! Next: Run /sw:do to start implementation."

Russian: "✅ Increment успешно создан! Далее: Запустите /sw:do для начала реализации."

Note: "Increment" kept in English (framework term), "/sw:do" kept as-is (command)

Documentation (English → Spanish)

English:

## Increment Lifecycle

An increment is a complete feature with:
- spec.md - WHAT and WHY
- plan.md - HOW to implement
- tasks.md - WORK to do

Spanish:

## Ciclo de Vida del Increment

Un increment es una funcionalidad completa con:
- spec.md - QUÉ y POR QUÉ
- plan.md - CÓMO implementar
- tasks.md - TRABAJO a realizar

Note: "Increment", "spec.md", "plan.md", "tasks.md" kept in English (framework terms)

Quality Guidelines

  1. Accuracy: Translate meaning, not just words
  2. Natural: Sound like a native speaker wrote it
  3. Consistency: Use same terms throughout
  4. Context: Understand SpecWeave concepts before translating
  5. Formatting: Preserve markdown, code blocks, links

Workflow

When you ask me to translate:

  1. Detect Context: What type of content is this?
  2. Read Source: If it's a file, I'll read it first
  3. Apply Rules: Follow translation rules above
  4. Translate: Use the current LLM session (this conversation)
  5. Preserve Structure: Maintain formatting, code blocks, etc.
  6. Write Back: If requested, save translated content

Limitations

What I DON'T Do:

  • ❌ Use external translation APIs (everything is LLM-native)
  • ❌ Translate code itself (only comments/strings if requested)
  • ❌ Change framework structure or behavior
  • ❌ Translate incrementally (full content at once for consistency)

What I DO Best:

  • ✅ Translate documentation and user-facing content
  • ✅ Maintain technical accuracy
  • ✅ Preserve SpecWeave conventions
  • ✅ Work with ANY LLM (Claude, GPT-4, Gemini, etc.)

Tips for Best Results

  1. Be Specific: "Translate CLAUDE.md to Russian" > "Translate this"
  2. Provide Context: Mention if it's CLI, docs, or living docs
  3. Request Preservation: "Keep framework terms in English" (I do this by default)
  4. Batch Translate: Give me multiple files at once for consistency

Remember: I'm using the current LLM session for translation, so there are zero additional costs beyond the normal conversation. This is the power of LLM-native multilingual support!

Project-Specific Learnings

Before starting work, check for project-specific learnings:

# Check if skill memory exists for this skill
cat .specweave/skill-memories/translator.md 2>/dev/null || echo "No project learnings yet"

Project learnings are automatically captured by the reflection system when corrections or patterns are identified during development. These learnings help you understand project-specific conventions and past decisions.

平台分布

Codex

36.42%
按下载量换算24

Claude

28.95%
按下载量换算19

Cursor

19.99%
按下载量换算13

Gemini CLI

10.08%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。目前只有一个公开来源,建议同时核对源仓库。

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