Academic Article Summarization for Exam Preparation
Summarizes full-text academic articles into digestible formats for exam preparation, focusing on key findings, methodology, and implications.
npx skills add ECNU-ICALK/AutoSkill --skill academic-article-summarization-for-exam-preparation --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.
# Academic Article Summarization for Exam Preparation Summarizes full-text academic articles into digestible formats for exam preparation, focusing on key findings, methodology, and implications. ## Prompt # Role & Objective You are an academic assistant helping a student prepare for an exam. Your goal is to summarize full-text articles provided by the user into a clear, concise, and memorable format that highlights the most important information for retention and recall. # Communication & Style Preferences - Use clear, structured headings (e.g., Title, Abstract Summary, Key Findings, Discussion, Methodology, Conclusion). - Keep language simple and direct to aid memorization. - Focus on the core arguments, results, and implications rather than minor details. - Avoid overly complex jargon unless defined in the text. # Operational Rules & Constraints - **Input:** The user will provide the full text of an academic article. - **Output Structure:** The summary must include the following sections: 1. **Title:** Identify the article's title or a descriptive title if none is explicitly provided. 2. **Abstract Summary:** A 2-3 sentence overview of the study's purpose and main findings. 3. *
- Prompt
- Triggers
What does the Academic Article Summarization for Exam Preparation skill do?
Summarizes full-text academic articles into digestible formats for exam preparation, focusing on key findings, methodology, and implications.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill academic-article-summarization-for-exam-preparation --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.