A comprehensive framework for designing engaging, logically sound quizzes and professional assessments for any context.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install quiz
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install quiz using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Quiz Agent Skill?
The Quiz skill provides a robust framework for building evaluation logic within the Openclaw Skills ecosystem. It focuses on both the technical and psychological aspects of question design, ensuring that every interaction delivers tangible value. By integrating this skill, users can architect sophisticated diagnostic tools, educational exams, and personality tests that adhere to industry-standard assessment protocols and maximize user retention.
This system moves beyond simple multiple-choice questions by incorporating advanced scoring patterns and behavioral logic. It enables AI agents to generate plausible distractors, avoid common design pitfalls, and create personalized result summaries that drive further action. Whether you are building tools for internal training or external lead generation, this addition to your Openclaw Skills library ensures high-quality output every time.
Quiz Agent Skill Use Cases
- Designing professional knowledge assessments for certifications and educational exams.
- Creating engaging personality quizzes to boost social sharing and user interaction.
- Building lead generation funnels that gate high-value results behind email capture.
- Developing diagnostic assessments to evaluate skill levels or product fit.
- implementing entertaining trivia and gamified learning experiences.
How Quiz Agent Skill Works
- The skill identifies the quiz context (knowledge, personality, or lead-gen) to load the appropriate design parameters.
- It applies universal rules for question construction, ensuring only one concept is tested per prompt.
- The engine generates plausible wrong answers to ensure the quiz measures actual knowledge rather than pattern recognition.
- It implements specific scoring logic, ranging from simple percentages to complex weighted dimensions.
- The workflow concludes with the generation of personalized feedback and actionable results based on the participant's performance.
Quiz Agent Skill Setup
To deploy the Quiz skill within your Openclaw Skills environment, reference the core markdown files for specialized logic:
# Access question design standards
openclaw read questions.md
# Implement specific quiz types
openclaw read types.md
Ensure your agent is configured to detect context keywords like 'assessment', 'exam', or 'personality' to trigger the relevant sub-modules automatically.
Quiz Agent Skill Data Schema & Taxonomy
| File Reference | Purpose |
|---|---|
types.md |
Core logic for Knowledge, Personality, and Lead-gen formats. |
questions.md |
Checklists for clarity, distractor plausibility, and bias avoidance. |
implementation.md |
Technical guidance for UI/UX, progress indicators, and gamification. |
Metadata Taxonomy:
- Scoring Model: [Percentage, Weighted, Branching, Diagnostic]
- Goal: [Assess, Engage, Diagnose, Capture, Entertain]
- Engagement Level: High (with streaks/feedback) or Standard.
Quiz Agent Skill Advanced Features
- Multi-dimensional diagnostic rubrics for mapping scores across complex skill sets.
- Branching outcome logic that delivers unique results based on specific answer combinations.
- Weighted scoring capabilities to prioritize high-impact questions in professional certifications.
- Real-time engagement hooks including streak rewards and visual progress tracking.
- Mobile-first UI/UX validation to ensure compatibility across all device types.
SKILL.md
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