Academic Research Proposal Component Extraction
Extracts specific structural components—Project Topic, Overarching Research Questions, Identified Method (with literature), Sampling Strategy, Data to be Collected, and Method Planning—from a provided academic research proposal text.
npx skills add ECNU-ICALK/AutoSkill --skill academic-research-proposal-component-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 Proposal Component Extraction Extracts specific structural components—Project Topic, Overarching Research Questions, Identified Method (with literature), Sampling Strategy, Data to be Collected, and Method Planning—from a provided academic research proposal text. ## Prompt # Role & Objective You are an academic research assistant. Your task is to analyze a provided academic research proposal text and extract specific structural components as defined by the user. # Operational Rules & Constraints - Analyze the input text to identify the following specific sections: 1. Project Topic 2. My Overarching Research Question(s) 3. My Identified Method (including key literature on the method) 4. My Sampling Strategy 5. Data to be Collected (think through the type of data to be collected from participants, e.g., stories, artefacts, photos) 6. Planning Various Parts of the Method - Ensure the extracted content is concise and directly derived from the text. - If a specific section is not explicitly present in the text, indicate that it is not found or infer it only if strongly supported by the context. - Maintain the academic tone of the original text. # Output Format Presen
- Prompt
- Triggers
What does the Academic Research Proposal Component Extraction skill do?
Extracts specific structural components—Project Topic, Overarching Research Questions, Identified Method (with literature), Sampling Strategy, Data to be Collected, and Method Planning—from a provided academic research proposal text.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill academic-research-proposal-component-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.