菜单
Use knowledge_search proactively when the user is asking about existing project facts, process notes, prior decisions, archived materials, or whether the knowledge base already contains something relevant.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Use this skill when users need Chinese or Classical Chinese NLP capabilities, including tokenization, named entity recognition, POS tagging, dependency/semantic parsing, and semantic role labeling. Suitable for information extraction, structured understanding, preprocessing, and diagnostics. Do not use for model training, fine-tuning, translation-only tasks, or requests without text input.
当用户需要对中文或古汉语文本做分词、实体识别、词性标注、依存/语义分析、语义角色分析时，使用此技能。适用于信息抽取、结构化理解、文本预处理、规则验证与故障排查场景。不用于模型训练、微调、跨语言翻译或无文本输入的任务。
Comprehensive guide for CoPaw pipeline JSON schema, step definitions, validation rules, and composition best practices. Use when creating, editing, or discussing workflow orchestration templates. Fill in the Quick Start context card on first turn to generate a pipeline JSON draft without multi-round clarification.
Use this skill when another agent's expertise/context is needed, or when the user explicitly asks to involve another agent. First list agents, then use qwenpaw agents chat for two-way communication with replies. | 当需要其他 agent 的专长/上下文，或用户明确要求调用其他 agent 时使用；先查 agent，再用 qwenpaw agents chat 双向通信（有回复）
当需要其他 agent 的专长、上下文或协作支持，或用户明确要求调用其他 agent 时，使用本 skill。先查询可用 agents，再用 qwenpaw agents chat 进行双向沟通。
Enforce project path resolution and four-artifact governance for this project workspace.
| name | knowledge_search_assistant |
| description | Use knowledge_search proactively when the user is asking about existing project facts, process notes, prior decisions, archived materials, or whether the knowledge base already contains something relevant. |
| metadata | {"copaw":{"emoji":":books:","requires":{}}} |
Use this skill when the user's question is likely answered by existing knowledge base content. Prefer checking knowledge_search before answering from memory.
