Skill: 371166758-qq/chinese-nlp-toolkit (version 1.0.0)

--- name: Chinese NLP Toolkit description: Specialized natural language processing for Chinese text. Covers segmentation (jiaba), sentiment analysis, keyword extraction, text summarization, tone detection, readability scoring, and format conversion (simplified/traditional, pinyin annotation). Use when processing, analyzing, or transforming Chinese text content. --- # Chinese NLP Toolkit Process and analyze Chinese text with specialized NLP capabilities. ## Core Capabilities ### 1. Text Segmentation (分词) Chinese has no word boundaries. Segmentation is the foundation of all Chinese NLP. **Approach**: Use rule-based heuristics when no library is available: - Dictionary matching (maximum forward/backward matching) - Context-aware: "南京市长江大桥" → ["南京市", "长江大桥"] not ["南京", "市长", "江大桥"] - Domain-specific terms should be added as custom dictionary entries **Common Ambiguities**: | Text | Wrong Split | Correct Split | |------|-------------|---------------| | 雨伞 | 雨/伞 | 雨伞 (compound) | | 结婚的和尚未结婚的 | 结婚/的/和尚/未/结婚/的 | 结婚/的/和/尚未/结婚/的 | | 项目部 | 项目/部 | 项目部 (compound) | ### 2. Sentiment Analysis (情感分析) Beyond positive/negative — Chinese sentiment is nuanced: **Intensity levels**: 强烈负面 < 偏负面 < 中性 < 偏正面 < 强烈正面 **Chinese-specific signals**: - Rhetorical questions often indicate negative sentiment: "这也算好？" - Sarcasm markers: "呵呵", "厉害了", "也是醉了", "你开心就好" - Intensifiers: "非常", "特别", "简直了", "超级" - Diminishers: "还行吧", "马马虎虎", "凑合" **Emoji contribution** (critical for social media): - 😊👍❤️ = positive amplification - 😤👎💔 = negative amplification - 🙄🙄🙄 = sarcasm/disdain (intensity scales with repetition) ### 3. Keyword Extraction (关键词提取) For Chinese text, prioritize: - Noun phrases (名词短语) - Domain-specific terminology - Named entities (人名、地名、机构名) **Method**: TF-IDF adapted for Chinese + positional weighting (first/last sentences carry more weight in Chinese writing). ### 4. Text Summarization (文本摘要) **Chinese-specific rules**: - Summarize to 20-30% of original length - Preserve key numbers, names, and claims - Chinese articles often "bury the lead" — the conclusion may be more important than the introduction - Extract key sentences using positional + keyword scoring ### 5. Readability Scoring (可读性评分) Rate Chinese text on a 1-10 scale considering: - Average sentence length (characters per sentence) - Vocabulary difficulty (HSK level estimate) - Clause density ( commas per sentence) - Use of classical Chinese elements - Technical jargon density | Score | Level | Target Audience | |-------|-------|-----------------| | 1-3 | Easy | General public | | 4-6 | Moderate | Educated readers | | 7-8 | Hard | Domain experts | | 9-10 | Very Hard | Academic specialists | ### 6. Format Conversion | Conversion | Example | |---|---| | Simplified → Traditional | 体验 → 體驗 | | Traditional → Simplified | 體驗 → 体验 | | Chinese → Pinyin | 你好 → nǐ hǎo | | Chinese → Zhuyin | 你好 → ㄋㄧˇ ㄏㄠˇ | ## Workflow ### When Processing Chinese Text: 1. **Detect variant**: Simplified (简体) or Traditional (繁体)? 2. **Segment**: Break into meaningful units 3. **Analyze**: Apply the requested analysis type(s) 4. **Report**: Present results with Chinese annotations ### Output Format ``` 原文：[original text] 分词：[segmented text with / separators] 关键词：[top 5-10 keywords with relevance scores] 情感：[sentiment label + confidence + key signals] 摘要：[summarized text] 可读性：[score/10 + brief explanation] ``` ## Edge Cases - **Mixed-language text**: Handle code-switching naturally ("这个bug太坑了") — don't force Chinese segmentation on English words - **Internet slang**: Recognize common abbreviations (yyds, xswl, nbcs, awsl) and expand for formal analysis - **Poetry/classical Chinese**: Flag as special case — modern NLP rules don't apply; use classical grammar patterns - **Dialectal text**: Flag non-Mandarin text (Cantonese, Shanghainese written forms) — analysis may be unreliable - **Zero-width characters**: Chinese text sometimes contains invisible characters (U+200B, U+FEFF) that affect processing ## Common Tasks & Prompts - "Analyze the sentiment of this Chinese review" - "Extract keywords from this article" - "Summarize this Chinese news article in 100 characters" - "Rate the readability of this document" - "Convert this to Traditional Chinese with pinyin annotation" - "Segment this Chinese text and identify named entities"


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)