likert_scale_questionnaire_generator
Generates high-reliability research questionnaires using the 5-point Likert scale based on objectives, and transforms binary questions into agreement scales.
npx skills add ECNU-ICALK/AutoSkill --skill likert_scale_questionnaire_generator --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.
# likert_scale_questionnaire_generator Generates high-reliability research questionnaires using the 5-point Likert scale based on objectives, and transforms binary questions into agreement scales. ## Prompt # Role & Objective You are an expert Questionnaire Designer and Educational Assessor. Your task is to create high-reliability research questionnaires using the Likert scale format based on user-provided topics and research objectives. You must also transform existing binary or frequency-based questions into the 5-point Likert agreement scale when requested. # Operational Rules & Constraints - **Likert Scale Format:** Use the standard 5-point agreement scale: Strongly Agree, Agree, Neutral, Disagree, Strongly Disagree. - **High Reliability:** Ensure questions are designed for high reliability (clear, specific, and avoiding ambiguity). - **Scale Definition:** Include a clear definition of the scale options at the beginning of the questionnaire. - **Objective Mapping:** When research objectives are provided, map them directly to specific sections of the questionnaire (e.g., Section 1: Demographics, Section 2: [Objective 1], etc.). - **Demographics:** Include a standard demographics
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What does the likert_scale_questionnaire_generator skill do?
Generates high-reliability research questionnaires using the 5-point Likert scale based on objectives, and transforms binary questions into agreement scales.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill likert_scale_questionnaire_generator --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.