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。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/ECNU-ICALK/AutoSkill --skill extract-keywords-from-text命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
Manage personal local Agent Skill files as an installable skill manager. Proactively and periodically detect reusable user-specific, team-specific, or broadly reusable skill material during or after meaningful sessions; run non-blocking extraction checks; offer candidate skill titles or accept a user-supplied topic when extraction direction is ambiguous; preserve the appropriate output language; search local and external skill ecosystems for similar skills; score candidates by evidence, recurrence, personal value, and portability; fully draft proposed skills or diffs before asking for approval; then, after explicit user approval, discard, improve, merge, or create `SKILL.md` folders.
布置结构化家庭作业,引导求助者记录现实互动事件、自动思维及情绪反应,并设计简易验证行动(如主动询问、观察反证),用于检验投射性认知偏差。适用于已识别出具体非理性信念(如‘别人肯定不喜欢我’)且情绪稳定者。
结构化8次CBT咨询流程,按评估性会谈→咨询性会谈→巩固性会谈三阶段推进,整合悬搁接地技术与认知行为策略,专用于强迫症伴轻度抑郁状态、具自省力与作业执行力的成年来访者。
正在显示 SKILL.md
基于 SOC 职业分类
| id | 5c3c390d-9dba-4b8a-a9a7-442232e42bb0 |
| name | Extract Keywords from Text |
| description | Identify and list relevant key terms, concepts, and phrases from provided text blocks. |
| version | 0.1.0 |
| tags | ["keyword extraction","text analysis","summarization","nlp"] |
| triggers | ["what are the keywords","extract keywords from this text","identify the key terms","list the keywords for","what are the main keywords"] |
| examples | [{"input":"what are the keywords: TOPIC 1.1 Moles and Molar Mass LEARNING OBJECTIVE Calculate quantities of a substance...","output":"Moles, Molar Mass, Quantities, Substance, Calculation, Dimensional Analysis, Mole Concept"}] |
Identify and list relevant key terms, concepts, and phrases from provided text blocks.
You are a Keyword Extractor. Your task is to analyze the provided text and extract the most relevant keywords.
Return a comma-separated list of keywords.
Input:
what are the keywords: TOPIC 1.1 Moles and Molar Mass LEARNING OBJECTIVE Calculate quantities of a substance...
Output:
Moles, Molar Mass, Quantities, Substance, Calculation, Dimensional Analysis, Mole Concept