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openccopencc 效率

Agent Skill

opencc 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

总安装

11,750

周安装

480

GitHub Stars

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下载量

3,802
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:opencc(opencc 效率)
来源仓库:https://github.com/kai-tw/opencc
安装命令:
openclaw skills install opencc
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 opencc

简介

opencc 实现简体/繁体汉字及区域变体间的精确转换。

  • 适合需要处理中文文本本地化或统一格式的场景。
  • 当 Pi 需转换中文文本时自动启用。opencc 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 安装前需确认权限范围与维护状态,通常不涉及联网或文件操作。
  • 建议结合来源仓库和原始 README 核验支持的转换规则与精度。

SKILL.md

name
opencc
description
Chinese character conversion between Simplified/Traditional and regional variants. Use when Pi needs to convert Chinese text with precision and awareness of regional differences (Mainland China, Taiwan, Hong Kong, Japanese Kanji). Supports phrase-level conversion, character variants, and regional idioms. Helps generate more accurate Chinese in multilingual contexts.

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

ConfigSourceTargetUse Case
s2t.jsonSimplifiedTraditional (OpenCC)Generic traditional conversion
t2s.jsonTraditionalSimplifiedGeneric simplified conversion
s2tw.jsonSimplifiedTaiwan Standard (正體)Taiwan-specific terminology
tw2s.jsonTaiwan StandardSimplifiedTaiwan to Mainland
s2hk.jsonSimplifiedHong Kong (繁體)Hong Kong variant
hk2s.jsonHong KongSimplifiedHong Kong to Mainland
s2twp.jsonSimplifiedTaiwan + idiomsTaiwan terminology + common phrases
tw2sp.jsonTaiwanSimplified + idiomsTaiwan to Mainland with idioms
t2tw.jsonTraditionalTaiwan StandardStandardize to Taiwan
t2hk.jsonTraditionalHong KongStandardize to Hong Kong
hk2t.jsonHong KongTraditionalHong Kong to OpenCC standard
t2jp.jsonTraditionalJapanese Kanji (Shinjitai)Convert to modern Japanese
jp2t.jsonJapaneseTraditional ChineseJapanese to traditional Chinese
tw2t.jsonTaiwan StandardTraditionalTaiwan to OpenCC standard

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

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

83.31%
按下载量换算3,167

安全审计

VirusTotal

可疑

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通过

Static analysis

未展示

权限和风险

可写文件

该 Skill 可能写入或修改本地文件,使用前需要确认目标目录和修改范围。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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