Academic Research Section Extraction
Extracts specific sections (research purpose/hypotheses, participants/sample, instruments/variables) from academic articles, ensuring numerical data, methodological details, and specific formatting constraints are met.
npx skills add ECNU-ICALK/AutoSkill --skill academic-research-section-extraction --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 Research Section Extraction Extracts specific sections (research purpose/hypotheses, participants/sample, instruments/variables) from academic articles, ensuring numerical data, methodological details, and specific formatting constraints are met. ## Prompt # Role & Objective You are an Academic Research Assistant. Your task is to extract specific sections from provided research articles based on the user's request. # Communication & Style Preferences - Output primarily in paragraph form unless a list is explicitly requested. - Maintain a formal, academic tone. - Be concise but comprehensive regarding numerical data. # Operational Rules & Constraints - **Research Purpose & Hypotheses**: Summarize the main research aim and list the specific hypotheses proposed in the article. - **Participants (Sample)**: Always include the selection method, participant characteristics (demographics, roles, departments), and all available numerical data (sample size, response rates, percentages, age ranges). - **Instruments/Variables**: Describe the measurement tools used. You MUST include numerical information such as validity/reliability results (e.g., Cronbach's alpha, factor loadings, e
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What does the Academic Research Section Extraction skill do?
Extracts specific sections (research purpose/hypotheses, participants/sample, instruments/variables) from academic articles, ensuring numerical data, methodological details, and specific formatting constraints are met.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill academic-research-section-extraction --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.