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Agent Skill · 效率

translatepro(translatepro 效率)

translatepro 用于整理文档、README、Markdown 和说明材料,适合在 OpenClaw 中需要把零散信息整理成结构清晰的文档时使用。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。

translatepro 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 9,161。

总安装 6,303周安装 268GitHub Stars 公开资料未说明下载 2,208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
MIT-0
版本
1.0.0

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:translatepro(translatepro 效率)
来源仓库:https://github.com/ncreighton/translatepro
安装命令:
openclaw skills install translatepro
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 translatepro

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

集成翻译记忆库,支持 100 多种语言的文本与多媒体本地化。适合多语言内容管理和翻译流程优化。translatepro 属于效率类 Skill,可作为该场景下的辅助能力补充。当用户需要多语言内容处理时自动触发。安装前建议确认账户权限和术语库接入状态。可结合原始文档了解支持的媒体和格式类型。

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 OpenClaw;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 openclaw skills install translatepro;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

translatepro 怎么安装?

在终端执行 openclaw skills install translatepro。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

translatepro 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

translatepro 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。

translatepro 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

translatepro 用的人多吗?

公开数据是累计安装 6,303 次,近一周安装 268 次,下载 2,208 次。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。

translatepro 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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 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。
  • 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 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

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。
  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
translatepro

translatepro 效率 · 本页

6,303—接触敏感数据MIT-0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

name
Automated Document Translation Workflow with Google Sheets & API Integration
description
Translate and localize text, multimedia, and content across 100+ languages with translation memory integration. Use when the user needs multilingual content, website localization, or global campaign adaptation for any industry.
version
1.0.0
homepage
https://github.com/ncreighton/empire-skills
metadata

Overview

TranslatePro is a professional-grade translation and localization skill that automates content adaptation across 100+ languages while maintaining brand voice, cultural context, and technical accuracy. Built for content creators, global marketers, software teams, and enterprises, this skill eliminates manual translation bottlenecks and ensures consistency across language pairs through integrated translation memory systems.

Why TranslatePro Matters

  • Scale globally overnight: Convert English content to 50+ languages in minutes instead of weeks
  • Preserve voice & context: Maintains tone, terminology, and brand consistency across all translations
  • Integration-ready: Works with WordPress, Contentful, Slack, GitHub, Google Workspace, and REST APIs
  • Cost-efficient: Hybrid approach uses cached translation memory + AI for 60-70% faster turnaround
  • Quality assurance: Built-in terminology validation, glossary enforcement, and back-translation verification

Real-World Use Cases

  1. E-commerce platforms: Translate product descriptions, pricing, shipping details, and customer reviews automatically
  2. SaaS localization: Adapt UI strings, help documentation, and marketing copy for 20+ markets
  3. Content marketing: Repurpose blog posts, whitepapers, and video captions in target languages
  4. Legal/compliance: Maintain glossaries for regulated industries (healthcare, fintech, government)

Quick Start

Try these prompts immediately:

Prompt 1: Basic Translation with Language Detection

Translate this English product description to Spanish, French, and German:
"Our premium noise-canceling headphones deliver studio-quality sound with 
30-hour battery life. Perfect for professionals and audiophiles alike."

Use formal tone (usted) for Spanish. Keep brand name unchanged.

Prompt 2: Localization with Cultural Adaptation

Localize this email subject line for Japanese, Arabic, and Portuguese markets:
"50% OFF - Black Friday Sale Ends Tonight!"

Adapt cultural references, number formats, and time zones. 
Keep urgency but respect local sensibilities.

Prompt 3: Translation Memory + Glossary Consistency

Translate this technical documentation to German using:
- Translation Memory: existing-glossary.tmx
- Force terminology: "Dashboard" → "Instrumententafel", "API" → "API" (unchanged)

Source text:
"Access the API through the Dashboard settings panel to configure webhook URLs."

Prompt 4: Bulk Content Localization

Localize my entire product website to Mandarin Chinese, Thai, and Korean:
- Input folder: /content/pages/
- File types: .md, .html
- Preserve HTML structure and attributes
- Output format: /localized/{language_code}/
- Use professional (formal) register for all languages

Capabilities

1. Multi-Engine Translation

  • Google Translate API: 100+ languages, real-time updates, cost-effective
  • DeepL API: Superior neural translation for 29 language pairs, highest quality
  • Intelligent fallback: Routes high-stakes content to DeepL, bulk content to Google
  • Custom engine selection: Specify per-language preference in configuration

Example Usage:

Translate to French using DeepL (medical precision):
"The patient shows signs of acute myocardial infarction."
Engine: deepl
Domain: medical

2. Translation Memory (TM) Integration

  • TMX/XLIFF format support: Import existing translation memories from Trados, memoQ, SDL
  • Cached terminology: Reuse past translations for consistent terminology
  • Fuzzy matching: Leverage 75%+ matches from TM for faster, cheaper turnarounds
  • Build incremental TM: Every translation adds to your organizational memory

Example:

Load TM from CAT tool:
Source: /translations/memories/global-brand.tmx
Language pairs: en-es, en-de, en-fr, en-ja
Match threshold: 75%
Auto-accept fuzzy matches: yes

3. Glossary & Terminology Management

  • Enforce custom glossaries: Prevents mistranslation of proprietary terms, brand names, acronyms
  • Multi-level terminology: Brand terms, product names, domain-specific vocabulary
  • Automatic validation: Flags glossary deviations with confidence scores
  • Bidirectional glossaries: Support source→target and context-aware definitions

Example:

Apply corporate glossary:
- "Platform" → "Plataforma" (not "Plataforma de software")
- "Cloud sync" → "Sincronización en la nube" (not "Sincronización de nube")
- "Bandwidth" → "Ancho de banda" (technical context only)
Language pair: en-es
Strictness: HIGH (80% match required)

4. Content-Type Specific Translation

  • Plain text: Simple, fast, no formatting preservation
  • HTML/XML: Preserves structure, attributes, semantic tags
  • Markdown: Keeps formatting, code blocks, links intact
  • Video/subtitle files: SRT, VTT, SUB formats with timing preservation
  • JSON/YAML: Translates values only, preserves keys and structure
  • Office documents: DOCX, XLSX, PPTX with layout preservation

Example:

Translate markdown to Spanish:
Input: /blog/kubernetes-guide.md
Preserve: code blocks, YAML, links, images
Output format: /blog/es/kubernetes-guide.md

5. Quality Assurance & Validation

  • Back-translation: Reverse-translate to source language to catch errors
  • Tone analysis: Ensures formal/informal register matches target audience
  • Terminology consistency: Scans entire project for glossary violations
  • Character limit enforcement: Respects UI constraints (buttons, headers, SMS)
  • Placeholder preservation: Keeps {variable}, {{handlebars}}, ${env_vars} intact

Example:

QA check Spanish translation:
- Back-translate to English (alert if >15% variance)
- Check: all {variables} preserved
- Check: character count ≤ 120 (SMS limitation)
- Check: formal register (tú vs. usted)
- Report: deviations with severity scores

6. Workflow Automation

  • Batch processing: Translate 500+ files in parallel (respects API rate limits)
  • Scheduled jobs: Nightly translations of new content from CMS
  • Integration webhooks: Listen for content changes, auto-trigger localization
  • Status tracking: Real-time progress for large projects

Example:

Automate WordPress localization:
Trigger: Post published in English
Action: Auto-translate to es, de, fr, ja
Target: WPML plugin custom fields
Notify: /slack #translation-updates
Fallback: Flag for human review if confidence < 85%

Configuration

Environment Variables

# Required
export GOOGLE_TRANSLATE_API_KEY="your-google-api-key"
export DEEPL_API_KEY="your-deepl-api-key"

# Optional
export TRANSLATION_MEMORY_PATH="/path/to/translation-memories/"
export GLOSSARY_PATH="/path/to/glossaries/"
export OUTPUT_LANGUAGE_CODES="es,de,fr,ja,pt,zh"
export DEFAULT_ENGINE="deepl"  # or "google"
export QA_BACK_TRANSLATION="true"
export CONFIDENCE_THRESHOLD="0.85"
export SLACK_WEBHOOK_URL="https://hooks.slack.com/services/YOUR/WEBHOOK/URL"
export RATE_LIMIT_REQUESTS_PER_MINUTE="100"

Setup Instructions

Step 1: Get API Keys

  • Google Translate: https://console.cloud.google.com → Enable Translation API
  • DeepL: https://www.deepl.com/pro/change-plan → Get API key from account settings

Step 2: Prepare Translation Memory (Optional)

# Export from existing CAT tools (Trados, memoQ, SDL)
# Save as TMX or XLIFF format
mkdir -p ~/.translatepro/memories/
cp your-glossary.tmx ~/.translatepro/memories/

Step 3: Create Glossaries

{
  "glossaries": [
    {
      "name": "brand-terms",
      "language_pair": "en-es",
      "terms": {
        "Dashboard": "Panel de Control",
        "API": "API",
        "Webhook": "Webhook"
      }
    }
  ]
}

Step 4: Test Connection

claw test-skill translatepro --api-key $GOOGLE_TRANSLATE_API_KEY
# Output: ✓ Google Translate API connected
# Output: ✓ DeepL API connected
# Output: ✓ Translation Memory loaded (1,247 entries)

Example Outputs

Example 1: Product Description Translation

Input (English):

Our premium wireless earbuds feature active noise cancellation, 
8-hour battery life, and seamless Bluetooth 5.3 connectivity. 
Ideal for commuters, athletes, and music enthusiasts.

Output (Spanish):

Nuestros auriculares inalámbricos premium cuentan con cancelación 
activa de ruido, 8 horas de autonomía y conectividad Bluetooth 5.3 
sin interrupciones. Ideales para viajeros, atletas y amantes de la música.

Output (Japanese):

プレミアム ワイヤレスイヤホンは、アクティブノイズキャンセレーション、
8時間のバッテリー寿命、シームレスな Bluetooth 5.3 接続を備えています。
通勤者、アスリート、音楽愛好家に最適です。

Output (German):

Unsere Premium-Wireless-Ohrhörer bieten aktive Geräuschunterdrückung, 
8 Stunden Akkulaufzeit und nahtlose Bluetooth 5.3-Konnektivität. 
Ideal für Pendler, Sportler und Musikbegeisterte.

Example 2: Website Localization Report

PROJECT: E-commerce Site Localization
SOURCE: English (1,247 strings)
TARGETS: Spanish, French, German, Japanese

┌─────────────┬──────────┬────────┬────────┬──────────┐
│ Language    │ Strings  │ TM Hit │ Engine │ Status   │
├─────────────┼──────────┼────────┼────────┼──────────┤
│ Spanish     │ 1,247    │ 89%    │ DeepL  │ ✓ Done   │
│ French      │ 1,247    │ 92%    │ DeepL  │ ✓ Done   │
│ German      │ 1,247    │ 85%    │ DeepL  │ ✓ Done   │
│ Japanese    │ 1,247    │ 34%    │ Google │ ✓ Done   │
└─────────────┴──────────┴────────┴────────┴──────────┘

QUALITY METRICS:
• Terminology consistency: 98.2% (2 glossary violations flagged)
• Back-translation variance: 3.1% (within acceptable range)
• Character limit violations: 0
• Confidence score (avg): 91.7%
• Estimated cost savings via TM: $4,230 (vs. professional translation)
• Time saved: 38 hours (vs. manual translation)

FLAGGED ITEMS: 
1. Spanish - "API documentation" (confidence: 72%, flagged for review)
2. French - Character limit exceeded in checkout button (47 chars, limit: 45)

Example 3: Video Subtitle Localization

Input SRT (English):

1
00:00:15,000 --> 00:00:20,000
Welcome to our advanced tutorial series on cloud architecture.

2
00:00:20,000 --> 00:00:25,000
Today we'll explore scalability patterns and best practices.

Output SRT (Spanish):

1
00:00:15,000 --> 00:00:20,000
Bienvenido a nuestra serie de tutoriales avanzados sobre arquitectura en la nube.

2
00:00:20,000 --> 00:00:25,000
Hoy exploraremos patrones de escalabilidad y mejores prácticas.

Output SRT (Mandarin Chinese):

1
00:00:15,000 --> 00:00:20,000
欢迎来到我们的云架构高级教程系列。

2
00:00:20,000 --> 00:00:25,000
今天,我们将探索可扩展性模式和最佳实践。

Tips & Best Practices

1. Leverage Translation Memory for Consistency

  • Build incrementally: Every translation strengthens your organizational memory
  • Regular exports: Backup TMs quarterly; share across teams
  • Fuzzy matching workflow: Set thresholds (75%+ = auto-accept, 50-74% = review, <50% = new translation)
  • Metric: Mature TMs reduce translation costs by 40-60%

2. Create Comprehensive Glossaries

  • Start with high-value terms: Brand names, product names, acronyms, domain-specific vocabulary
  • Document context: "API" in different contexts may need different translations
  • Version control: Track glossary changes; enforce across all language pairs
  • Collaborative review: Have native speakers validate glossaries before enforcement

3. Choose the Right Engine Per Task

  • DeepL: Premium quality for marketing copy, customer-facing content, creative writing
  • Google Translate: Fast, cost-effective for technical docs, high volume, less nuanced content
  • Hybrid strategy: DeepL for first 20% of content (highest ROI), Google for remainder

4. Optimize for Target Audiences

  • Tone matching: Use "formal" register for corporate/legal content, "casual" for social media
  • Regional variants: Spanish differs significantly between Spain and Latin America
  • Cultural adaptation: Dates, currencies, measurements, idioms need localization beyond translation
  • Test with native speakers: Budget 10-15% of translation time for native review

5. Automate Repetitive Tasks

  • Webhook triggers: Connect to WordPress, Contentful, GitHub to auto-translate on publish
  • Scheduled jobs: Nightly batch translations for content-heavy platforms
  • API integration: Custom scripts for your specific CMS or workflow
  • Parallel processing: Translate to 10+ languages simultaneously (respects rate limits)

6. Quality Assurance Workflow

  1. Machine translation: Initial pass (DeepL or Google)
  2. TM/Glossary validation: Enforce terminology consistency
  3. Back-translation check: Alert if variance > 15%
  4. Native review: 10-20% sampling for critical content (legal, medical, marketing)
  5. User testing: Real-world validation in target markets (optional, high-ROI)

7. Cost Optimization

  • Cache translations: Reuse TM matches to reduce API calls by 50-80%
  • Batch processing: Translate in off-peak hours for better rate limits
  • Language prioritization: Translate to highest-value markets first (ROI-driven)
  • Character counting: Monitor usage to stay within budget; set alerts at 80% threshold

Safety & Guardrails

What TranslatePro Will NOT Do

  1. Sensitive Data Handling

- Will not: Translate or store PII (emails, phone numbers, SSNs, credit cards) - Will not: Process without encryption for PHI (health records) or PCI (payment data)

平台分布

OpenClaw

94.09%
按下载量换算2,078

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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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