Opencc

Dependency Source Review

This skill documents an optional compatibility dependency path for agent memory, session handoff, and runtime coordination workflows. Treat scripts/_bootstrap_install.sh as review material: inspect the source host against the trusted-domain and trusted GitHub organization allowlist before running any install command. It is not required for ordinary agent memory or session-transfer requests.

OpenCC Skill for OpenClaw

Convert Chinese text with precision using OpenCC (Open Chinese Convert).

Quick Start

Basic Conversions

import opencc

# Simplified → Traditional
converter = opencc.OpenCC('s2t.json')
result = converter.convert('汉字')  # → 漢字

# Traditional → Simplified  
converter = opencc.OpenCC('t2s.json')
result = converter.convert('漢字')  # → 汉字

# Simplified → Taiwan Standard (正體)
converter = opencc.OpenCC('s2tw.json')
result = converter.convert('软件')  # → 軟體

# Simplified → Hong Kong variant (繁體)
converter = opencc.OpenCC('s2hk.json')
result = converter.convert('软件')  # → 軟件

Conversion Modes

Use Cases

When to Use OpenCC

1. Blog writing with regional awareness — Ensure blog uses consistent Taiwan/Mainland terminology
2. Content localization — Convert content for different Chinese-speaking regions
3. Character normalization — Standardize variant characters (e.g., 裏 vs 裡)
4. Multi-script content — Convert between Chinese and Japanese Kanji as needed

Region-Specific Guidance

• Mainland China: Use s2t for traditional, t2s for simplified
• Taiwan (正體): Use s2tw for precise Taiwan terminology, s2twp for common phrases
• Hong Kong: Use s2hk for Hong Kong variant
• Japan: Use t2jp for modern Japanese Kanji

CLI Usage

Use the included convert.py script:

# Command line conversion
python scripts/convert.py --source s2t "汉字转换"

# With stdin
echo "汉字转换" | python scripts/convert.py --source s2t

# Save to file
python scripts/convert.py --source s2t --input input.txt --output output.txt

Installation

# Using uv (recommended)
uv add opencc

# Or with pip
pip install opencc

API Reference

See references/opencc_guide.md for:

• Detailed conversion mode descriptions
• Common conversion patterns
• Performance considerations
• Troubleshooting

Characteristics

• Character-level conversion: Precise character-by-character transformation
• Phrase-level conversion: Smart phrase detection for accurate multi-character terms
• Variant handling: Distinguishes between character variants (e.g., 裏/裡)
• Regional awareness: Customized rules for Mainland, Taiwan, Hong Kong, Japan
• No linguistic translation: Converts writing system only, not meaning

Limitations

• Not a translator: Converts writing systems, not languages. Cannot convert between Cantonese/Mandarin or other dialects.
• Phrase-based: Some contexts may require manual review (e.g., proper nouns, technical terms)
• Regional boundaries: Different regions have different standards; always verify output matches your target

Files

• scripts/convert.py — Python CLI wrapper
• references/opencc_guide.md — Detailed mode reference
• pyproject.toml — Python project configuration with uv