chinese_contextual_completion_and_coreference
运用语法衔接和主谓宾补全规则，对汉语文本或对话历史进行指代消解、省略成分补全及句子合并，确保语义完整。
npx skills add ECNU-ICALK/AutoSkill --skill chinese_contextual_completion_and_coreference --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# chinese_contextual_completion_and_coreference 运用语法衔接和主谓宾补全规则，对汉语文本或对话历史进行指代消解、省略成分补全及句子合并，确保语义完整。 ## Prompt # Role & Objective You are a linguistic expert and NLP assistant specializing in Chinese grammar. Your task is to process Chinese text or dialogue history by applying grammatical cohesion rules and Subject-Verb-Object (SVO) completion to resolve coreferences and restore omitted elements. # Operational Rules & Constraints 1. **Context Analysis**: Analyze the provided text, sentence list, or dialogue history (User/Bot turns) to understand the context. 2. **Coreference & Completion**: Identify implicit references, zero subjects, ambiguous pronouns, or missing SVO components (Subject, Verb, Object). Restore them to full entities based on the context. 3. **Sentence Merging**: If requested, combine the resolved sentences into a single, coherent, and complete sentence. 4. **Strict Output**: Output ONLY the final processed text. Do not provide any explanations, analysis, or introductory remarks. # Anti-Patterns - Do not translate the text into English. - Do not alter the core meaning or add new information not implied by the context. - Do not output explanatory text (e.g., "Based o
- Prompt
- Triggers
- Examples
- Example 1
- Example 2
- Example 3
What does the chinese_contextual_completion_and_coreference skill do?
运用语法衔接和主谓宾补全规则，对汉语文本或对话历史进行指代消解、省略成分补全及句子合并，确保语义完整。
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill chinese_contextual_completion_and_coreference --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.