Domain-validated multi-dimensional scoring system for divergent thinking tasks, including fluency, flexibility, originality, and automated semantic distance methods
Quickly install divergent thinking scoring AI skill to your development environment via command line
Source: haoxuanlithuai/awesome_cognitive_and_neuroscience_skills.
This skill encodes expert methodological knowledge for scoring responses from divergent thinking tasks (Alternative Uses Task, Unusual Uses Task, instances tasks, etc.). It covers the four standard scoring dimensions — fluency, flexibility, originality, and elaboration — plus modern automated scoring using semantic distance. A general-purpose programmer would typically count responses (fluency) but would not know...
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.
| Dimension | What It Measures | Scoring Method | Automation | Source |
Domain-validated multi-dimensional scoring system for divergent thinking tasks, including fluency, flexibility, originality, and automated semantic distance methods Source: haoxuanlithuai/awesome_cognitive_and_neuroscience_skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills --skill divergent thinking scoringBrowse more skills from haoxuanlithuai/awesome_cognitive_and_neuroscience_skills
Domain-validated multi-dimensional scoring system for divergent thinking tasks, including fluency, flexibility, originality, and automated semantic distance methods 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 divergent thinking scoring 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