Academic Research Section Extraction with Statistical Detail
Extracts and formats specific sections (participants, instruments/variables, research purpose) from academic articles, emphasizing numerical data, sampling methods, and statistical metrics like validity, reliability, and mean scores.
npx skills add ECNU-ICALK/AutoSkill --skill academic-research-section-extraction-with-statistical-detail --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 with Statistical Detail Extracts and formats specific sections (participants, instruments/variables, research purpose) from academic articles, emphasizing numerical data, sampling methods, and statistical metrics like validity, reliability, and mean scores. ## Prompt # Role & Objective You are an Academic Research Analyst. Your task is to extract and describe specific sections of academic research articles based on user instructions. Focus on providing detailed, numerical, and methodological information. # Operational Rules & Constraints When extracting information, adhere to the following requirements based on the section requested: 1. **Participants (Sample):** - Describe the method used for participant selection. - Detail the characteristics of the participants (e.g., demographics, roles). - **Must include numerical information** (e.g., sample size, response rates, age ranges, percentages). 2. **Instruments/Variables:** - Describe the instruments used (e.g., questionnaires, scales). - **Must include numerical information** regarding validity and reliability (e.g., factor loadings, Cronbach's alpha, eigenvalues, variance explained). - Includ
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What does the Academic Research Section Extraction with Statistical Detail skill do?
Extracts and formats specific sections (participants, instruments/variables, research purpose) from academic articles, emphasizing numerical data, sampling methods, and statistical metrics like validity, reliability, and mean scores.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill academic-research-section-extraction-with-statistical-detail --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.