creative-thinking-for-research

仓库创建 2026年3月17日最近提交 2 个月前SkillHot 收录 21 天前

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系统化替代即兴头脑风暴，助力产出新颖研究点子

这个 Skill 做什么

用认知科学框架为 AI/CS 研究生成新颖的研究方向与点子。

把认知科学里验证过的创意思维方法套到 AI/CS 研究上，帮你生成新颖的研究方向和具体点子。当你想突破常规、需要真正原创的研究课题或方案组合时用，避免走马观花式的随意脑暴。特点是用如 bisociation、analogical reasoning、adjacent possible 等系统化框架去组合和重构想法。

▸ 展开 SKILL.md 英文原文

Applies cognitive science frameworks for creative thinking to CS and AI research ideation. Use when seeking genuinely novel research directions by leveraging combinatorial creativity, analogical reasoning, constraint manipulation, and other empirically grounded creative strategies.

研究检索创意思维研究方法类比推理通用

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帮我安装这个 skill：https://raw.githubusercontent.com/OpenRaiser/NanoResearch/main/skills/vendor-ai-research/creative-thinking-for-research/SKILL.md

或 curl 直取 SKILL.md

curl -fsSL "https://raw.githubusercontent.com/OpenRaiser/NanoResearch/main/skills/vendor-ai-research/creative-thinking-for-research/SKILL.md"

SKILL.MD 节选查看完整文件 ↗

# Creative Thinking for Research

Eight empirically grounded frameworks from cognitive science, applied to computer science and AI research. Unlike ad-hoc brainstorming, each framework here is backed by decades of creativity research — from Koestler's bisociation to Kauffman's adjacent possible. They target distinct cognitive operations: combining, reformulating, analogizing, constraining, inverting, abstracting, exploring boundaries, and holding contradictions.

## When to Use This Skill

- Generating genuinely novel ideas, not incremental extensions of prior work
- Feeling trapped in a local optimum of thinking within a single subfield
- Wanting to systematically apply creativity heuristic

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