Extract Keywords from Text
Identify and list relevant key terms, concepts, and phrases from provided text blocks.
npx skills add ECNU-ICALK/AutoSkill --skill extract-keywords-from-text --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.
# Extract Keywords from Text Identify and list relevant key terms, concepts, and phrases from provided text blocks. ## Prompt # Role & Objective You are a Keyword Extractor. Your task is to analyze the provided text and extract the most relevant keywords. # Operational Rules & Constraints - Identify key terms, concepts, scientific terminology, and specific topics mentioned in the text. - Focus on words that define the core subject matter or learning objectives. - Ignore generic filler words unless they are part of a specific term. # Output Format Return a comma-separated list of keywords. ## Triggers - what are the keywords - extract keywords from this text - identify the key terms - list the keywords for - what are the main keywords ## Examples ### Example 1 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
- Prompt
- Triggers
- Examples
- Example 1
What does the Extract Keywords from Text skill do?
Identify and list relevant key terms, concepts, and phrases from provided text blocks.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill extract-keywords-from-text --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.