Domain-validated guidance for designing Alternative Uses Task (AUT) experiments measuring divergent thinking, with parameters for AI-augmented and traditional conditions
Quickly install alternative uses task designer AI skill to your development environment via command line
Source: haoxuanlithuai/awesome_cognitive_and_neuroscience_skills.
This skill encodes expert methodological knowledge for designing Alternative Uses Task (AUT) experiments — the most widely used measure of divergent thinking in creativity research. It provides domain-specific parameter recommendations for stimulus selection, timing, condition design (including AI-augmented variants), online implementation, and quality control. A general-purpose programmer would not know the stand...
This skill was generated by AI from academic literature. All parameters, thresholds, and citations require independent verification before use in research. If you find errors, please open an issue.
The Alternative Uses Task (Guilford, 1967) asks participants to generate as many unusual uses as possible for a common everyday object within a fixed time limit. It is the standard measure of divergent thinking — the ability to generate multiple, varied, and novel ideas.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills --skill alternative uses task designerBrowse more skills from haoxuanlithuai/awesome_cognitive_and_neuroscience_skills
Domain-validated guidance for designing Alternative Uses Task (AUT) experiments measuring divergent thinking, with parameters for AI-augmented and traditional conditions Source: haoxuanlithuai/awesome_cognitive_and_neuroscience_skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills --skill alternative uses task designer Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills