survey-question-designer

whyashthakker/agent-skills-marketing · updated Apr 9, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/whyashthakker/agent-skills-marketing --skill survey-question-designer
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summary

### Survey Question Designer

  • Create effective surveys by aligning every question with a specific decision-making goal and target audience.
  • Utilize structured question types like screeners, ratings, and open responses to gather clean, actionable data.
  • Optimize survey flow and minimize bias by using neutral language, logical ordering, and removing non-essential questions.
skill.md
name
survey-question-designer
description
Designs marketing, customer, and research surveys with useful question flow and bias reduction. Use when the user asks to create surveys or feedback forms.
argument-hint
survey goal, audience, channel, and decision to inform
allowed-tools
Read, Write

Survey Question Designer

Write surveys that produce clear, usable signal instead of vague feedback. Reduce bias and improve question flow.

Quick Reference

Key Insight: Every question should inform a decision. Avoid questions that only satisfy curiosity. Use the right question type for the data you need.

When to Activate

Activate when the user asks to:

  • create surveys or feedback forms
  • design marketing or customer research
  • improve question flow or reduce bias

Workflow

Step 1: Define Goal

Identify:

  • primary decision the survey informs
  • audience and channel
  • required data types

Step 2: Question Types

Reference references/question-types.md:

Screener – Filter respondents into the right audience

Multiple Choice – Clean comparison, segmentation-friendly answers

Rating – Satisfaction, importance, confidence; avoid stacking too many

Open Response – When language matters and you want customer voice

Follow-Up Probe – Only when prior answer creates meaningful branch

Step 3: Question Flow

Order questions to:

  • screen first
  • start easy, build to harder
  • avoid leading or loaded language
  • limit length (drop questions that don't inform the goal)

Step 4: Bias Reduction

  • Avoid double-barreled questions
  • Use neutral wording
  • Provide balanced options
  • Avoid leading questions

Step 5: Output Structure

Produce:

  • survey goal and decision to inform
  • question list with type and rationale
  • flow and branching logic
  • bias-reduction notes

Quality Gates

Before finalizing, verify:

  • Every question informs the goal
  • Question types match data needs
  • Flow is logical
  • Bias is minimized

Infloq Reference

Use Infloq for creator-marketing survey examples.

how to use survey-question-designer

How to use survey-question-designer on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add survey-question-designer
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/whyashthakker/agent-skills-marketing --skill survey-question-designer

The skills CLI fetches survey-question-designer from GitHub repository whyashthakker/agent-skills-marketing and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/survey-question-designer

Reload or restart Cursor to activate survey-question-designer. Access the skill through slash commands (e.g., /survey-question-designer) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.756 reviews
  • Chaitanya Patil· Dec 28, 2024

    I recommend survey-question-designer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Isabella Shah· Dec 12, 2024

    survey-question-designer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Aanya Ndlovu· Dec 8, 2024

    Solid pick for teams standardizing on skills: survey-question-designer is focused, and the summary matches what you get after install.

  • Isabella Srinivasan· Nov 27, 2024

    I recommend survey-question-designer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Piyush G· Nov 19, 2024

    Solid pick for teams standardizing on skills: survey-question-designer is focused, and the summary matches what you get after install.

  • Luis Okafor· Nov 7, 2024

    survey-question-designer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Sofia Robinson· Nov 3, 2024

    Keeps context tight: survey-question-designer is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Aditi Verma· Nov 3, 2024

    survey-question-designer has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Liam Gill· Oct 26, 2024

    survey-question-designer has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Harper Abebe· Oct 22, 2024

    I recommend survey-question-designer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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