openclw

What This Skill Does

The openclw skill is a specialized translation engine designed to integrate seamlessly into the OpenClaw AI ecosystem. It acts as a bridge between languages, specifically optimizing for Chinese and English exchanges while providing comprehensive support for a wide array of global languages. By utilizing a simple, prefix-based command structure, it ensures that language barriers are removed without disrupting the user's workflow. The skill is engineered to intelligently detect the source language and apply the appropriate translation logic: English is converted to Chinese, Chinese is converted to English, and any other international language is automatically normalized to Chinese. This creates a fluid, intuitive experience for multilingual users.

Installation

To integrate this translation capability into your environment, use the OpenClaw CLI tool. Execute the following command in your terminal:

clawhub install openclaw/skills/skills/fengchj/fy

Ensure that you have sufficient permissions and your OpenClaw agent instance is running correctly before initiating the installation. Once installed, the fy command will be registered as a globally available trigger for your agent.

Use Cases

This skill is ideal for professionals, students, and casual users who frequently switch between languages. It serves as a rapid-lookup tool during coding sessions (translating documentation or comments), drafting communications in international chat groups, or conducting quick research when encountering non-native text. Because it is triggered via a command prefix, it is perfect for users who prefer text-based workflows over switching to browser-based translation tabs.

Example Prompts

1. fy Hello, how are you today? - The agent will translate this into Chinese.
2. fy 我今天过得很开心 - The agent will translate this into English.
3. fy さようなら - The agent will detect Japanese and translate it into Chinese.

Tips & Limitations

• Speed and Efficiency: The skill works best with short phrases or sentences. For extremely long paragraphs, performance may vary based on your configured AI model's token limits.
• Context Sensitivity: While the skill excels at standard translation, it may struggle with highly idiomatic expressions or technical jargon specific to niche industries. If accuracy is paramount, consider providing context in the sentence.
• Trigger Precision: Always ensure a space exists between the fy prefix and your text; otherwise, the skill might fail to parse the input correctly.
• Language Scope: The system is designed primarily for Chinese-English, but uses universal detection for other languages. If a rare language dialect is not detected, the system defaults to general matching patterns.