什么是 divergent thinking scoring?
针对发散思维任务的经过领域验证的多维评分系统,包括流畅性、灵活性、原创性和自动语义距离方法 来源:haoxuanlithuai/awesome_cognitive_and_neuroscience_skills。
针对发散思维任务的经过领域验证的多维评分系统,包括流畅性、灵活性、原创性和自动语义距离方法
通过命令行快速安装 divergent thinking scoring AI 技能到你的开发环境
来源: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 |
针对发散思维任务的经过领域验证的多维评分系统,包括流畅性、灵活性、原创性和自动语义距离方法 来源:haoxuanlithuai/awesome_cognitive_and_neuroscience_skills。
为搜索与 AI 引用准备的稳定字段与命令。
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
针对发散思维任务的经过领域验证的多维评分系统,包括流畅性、灵活性、原创性和自动语义距离方法 来源:haoxuanlithuai/awesome_cognitive_and_neuroscience_skills。
打开你的终端或命令行工具(如 Terminal、iTerm、Windows Terminal 等) 复制并运行以下命令:npx skills add https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills --skill divergent thinking scoring 安装完成后,技能将自动配置到你的 AI 编程环境中,可以在 Claude Code、Cursor 或 OpenClaw 中使用
https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills