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Zh Semantic Enhancer

Skill by andyxcg

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/andyxcg/zh-semantic-enhancer
Or

What This Skill Does

zh-semantic-enhancer is a specialized NLP processing layer designed to bridge the gap between superficial text processing and deep Chinese linguistic understanding. Unlike standard translation-based tokenizers, this skill utilizes a multi-layered semantic architecture. It integrates advanced modules for cultural context recognition, idiom and slang interpretation, and sophisticated ambiguity resolution. By leveraging industry-grade libraries like jieba and HanLP, the skill transforms raw text into structured intent, identifying entities, professional terminology, and even the nuances of 'in-group' internet slang (e.g., 'yyds', '内卷'). It is engineered for OpenClaw to process Chinese inputs with human-like intuition, ensuring that polysemous words are correctly interpreted based on their surrounding context.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/andyxcg/zh-semantic-enhancer

Ensure that your environment meets the dependency requirements: jieba >= 0.42.1 and hanlp >= 2.1.0. Once installed, you can import the modules enhanced_tokenize and enhance_intent from the provided scripts directory to begin processing semantic data.

Use Cases

This skill is ideal for any OpenClaw application requiring high-fidelity interaction with Chinese users.

  • Customer Service Automation: Accurately detect frustration or satisfaction even when users use colloquialisms or sarcastic tones.
  • Content Analysis: Categorize user feedback or social media posts by identifying industry-specific jargon and entity tagging.
  • Agentic Workflows: Enhance the decision-making process of your AI agent by feeding it structured intent data rather than raw text, allowing for more precise task execution in Chinese-speaking environments.

Example Prompts

  1. "把这些语料里提到的人名和公司名都摘出来,顺便判断一下用户是在夸还是在吐槽:[插入文本]"
  2. "分析一下这段话中的流行语,告诉我用户提到的‘内卷’在当前的语境下具体是指哪方面的压力。"
  3. "识别这段文字中提到的行业术语,并将其自动归类为技术、营销或财务领域。"

Tips & Limitations

  • Pro Tip: Use the Pro or Enterprise versions if you are working with highly specialized industry domains, as these tiers unlock custom dictionaries that significantly boost entity recognition precision.
  • Cultural Nuances: The skill is optimized for modern Mandarin. While it recognizes many idioms, extremely rare Classical Chinese or highly localized dialects may require custom dictionary updates.
  • Performance: While the skill supports local processing for data safety, ensure your hardware has sufficient memory for the HanLP models if processing massive batches simultaneously.

Metadata

Author@andyxcg
Stars4473
Views0
Updated2026-05-01
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-andyxcg-zh-semantic-enhancer": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#nlp#chinese-language#tokenization#intent-analysis#semantic-processing
Safety Score: 5/5