A high-precision utility for converting Chinese text between Simplified, Traditional, and various regional variants with phrase-level awareness.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install opencc
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install opencc using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is OpenCC Chinese Character Converter?
OpenCC (Open Chinese Convert) is a robust skill designed for the Openclaw Skills ecosystem that provides professional-grade conversion between Simplified Chinese, Traditional Chinese, and regional variants. Unlike basic mapping tools, this skill is designed with linguistic precision in mind, supporting character-level transformations as well as complex phrase-level conversions that account for regional differences in terminology and usage.
Whether you are localized content for Taiwan, Hong Kong, or Mainland China, this skill ensures that your AI-generated text remains authentic to the target audience. By integrating OpenCC into your Openclaw Skills workflow, you can handle nuances like Japanese Kanji (Shinjitai) and regional idioms, making it an essential tool for developers and content creators working in multilingual environments.
OpenCC Chinese Character Converter Use Cases
- Localization of marketing copy and blog posts to match specific regional standards such as Taiwan or Hong Kong Traditional Chinese.
- Normalizing character variants in large datasets to ensure consistency across search indexes and databases.
- Converting software documentation while ensuring technical terms like software (软件 vs 軟體) are correctly adapted for the target region.
- Bridging linguistic gaps in projects that involve both Traditional Chinese and modern Japanese Kanji characters.
How OpenCC Chinese Character Converter Works
- The skill initializes a converter by loading a specific JSON configuration file tailored to the desired source and target scripts.
- Input text is analyzed using a phrase-aware algorithm that prioritizes multi-character terms over individual character mappings.
- The engine applies regional rules and variant handling to transform the text according to the selected conversion mode.
- Advanced modes like s2twp.json are utilized when the user requires idiom-level conversion for natural regional flow.
- The final localized output is returned to the agent or saved to a designated file within the Openclaw Skills environment.
OpenCC Chinese Character Converter Setup
To integrate this skill into your project, install the necessary dependencies via your preferred Python package manager. For users of the Openclaw Skills framework using uv, run:
uv add opencc
Alternatively, you can install via pip:
pip install opencc
Ensure that the scripts/convert.py file is included in your local directory to enable command-line interface capabilities for batch processing.
OpenCC Chinese Character Converter Data Schema & Taxonomy
The skill organizes its conversion logic through a series of predefined JSON configuration files. Each file maps specific linguistic rules to the conversion engine.
| Configuration | Source | Target | Context |
|---|---|---|---|
| s2t.json | Simplified | Traditional | Standard OpenCC |
| s2twp.json | Simplified | Taiwan Traditional | Idioms & Phrases |
| t2jp.json | Traditional | Japanese Kanji | Modern Shinjitai |
| hk2s.json | Hong Kong | Simplified | Mainland Standard |
Output data is typically handled as UTF-8 encoded strings or text files, maintaining compatibility across the Openclaw Skills platform.
OpenCC Chinese Character Converter Advanced Features
- Phrase-level conversion: Intelligent detection of multi-character terms to prevent contextually incorrect literal translations.
- Regional Idiom Support: Specific modes like s2twp allow for the automatic conversion of common regional vocabulary.
- CLI Batch Processing: Use the built-in script to process entire files or stream text via stdin for high-volume automation.
- Character Variant Normalization: Sophisticated handling of character variants (e.g., 裡 vs 裏) to ensure script consistency.
- Multi-Agent Integration: Can be used as a pre-processing or post-processing layer for other Openclaw Skills to ensure localized accuracy.
SKILL.md
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