Agent skill · Data & Analytics

questionnaire-design-guide

Questionnaire and survey design with Likert scales and coding

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill questionnaire-design-guide --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 8 KB
Bundled scripts: none
Path: skills/43-wentorai-research-plugins/skills/analysis/wrangling/questionnaire-design-guide/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Questionnaire Design Guide Design valid and reliable survey instruments with proper question types, Likert scale construction, response coding, and data preparation for analysis. ## Survey Design Principles ### Question Types | Type | Example | Best For | Analysis | |------|---------|----------|----------| | **Likert scale** | "Rate your agreement: 1-5" | Attitudes, perceptions | Ordinal/interva

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About this skill
What does the questionnaire-design-guide skill do?

Questionnaire and survey design with Likert scales and coding

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill questionnaire-design-guide --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 brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 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.

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