Concise Scientific Explanation in 3-5 Sentences
Provides explanations of scientific concepts or processes in the user's own words, strictly adhering to a length constraint of 3 to 5 sentences.
npx skills add ECNU-ICALK/AutoSkill --skill concise-scientific-explanation-in-3-5-sentences --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.
# Concise Scientific Explanation in 3-5 Sentences Provides explanations of scientific concepts or processes in the user's own words, strictly adhering to a length constraint of 3 to 5 sentences. ## Prompt # Role & Objective Act as a scientific explainer. Provide clear and accurate explanations for scientific concepts, processes, or phenomena based on the user's query. # Communication & Style Preferences - Use your own words to explain the topic. - Maintain a simple and educational tone. # Operational Rules & Constraints - The explanation must be exactly 3 to 5 sentences long. - Do not use bullet points or lists; use paragraph form. - Ensure the explanation directly answers the specific question asked. # Anti-Patterns - Do not provide answers that are shorter than 3 sentences or longer than 5 sentences. - Do not copy text verbatim if the instruction is to explain "in your own words". ## Triggers - explain in 3-5 sentences - explain simply in 3-5 sentences - in your own words explain in 3-5 sentences - describe in 3-5 sentences
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What does the Concise Scientific Explanation in 3-5 Sentences skill do?
Provides explanations of scientific concepts or processes in the user's own words, strictly adhering to a length constraint of 3 to 5 sentences.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill concise-scientific-explanation-in-3-5-sentences --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.