A high-fidelity translation engine that converts foreign web content into natural, publication-ready Simplified Chinese markdown.
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npx clawhub@latest install full-page-translate
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~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
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Help me install full-page-translate using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
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The Full Page Article Translator is a sophisticated skill designed to bridge the language gap for researchers, developers, and content creators. By integrating with Jina Reader, it extracts clean markdown from any URL and transforms it into Simplified Chinese that reads like native prose. This tool is a standout addition to the Openclaw Skills library, specifically addressing the common pitfalls of machine translation such as rigid sentence structures and inconsistent technical jargon.
Beyond simple word-to-word conversion, this skill performs a deep content analysis to identify tone, figurative language, and domain-specific terminology. Whether you are processing a technical whitepaper or a casual blog post, the agent ensures the final output maintains the original markdown formatting—including code blocks, images, and headers—while delivering a polished, professional reading experience.
To use this skill within your agent environment, you can trigger the translation process directly using specific command patterns. No complex installation is required as part of the Openclaw Skills standard interface.
# Method 1: Provide a Jina-prefixed URL
https://r.jina.ai/https://example.com/article-to-translate
# Method 2: Use the translate command prefix
translate: https://example.com/article-to-translate
The skill processes data using a structured workflow to maintain high fidelity. It uses a built-in technical glossary to ensure accuracy across specific domains.
| Data Component | Handling Method |
|---|---|
| Technical Terms | Mapping against a built-in AI and tech glossary (e.g., RAG, LLM, Prompt) |
| Long Articles | Logical chunking at heading boundaries for articles over 4000 words |
| Formatting | Strict preservation of original Markdown syntax and hierarchy |
| Style | Automatic detection and matching of the source text's register |
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