Individual skill
creative-thinking-for-research
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.
skills/vendor-ai-research/creative-thinking-for-research/SKILL.md
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- Last checked
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- Repository last updated
- Oct 9, 2026
- License
- MIT
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- agent-skills Repository topic
- agents Repository topic
- ai Repository topic
- ai-agents Repository topic
- ai-scientist Repository topic
- artificial-intelligence Repository topic
- autonomous-agents Repository topic
- autonomous-research Repository topic
- autoresearch Repository topic
- claude-code Repository topic
- creative-thinking Declared skill tag
- research-ideation Declared skill tag
- analogical-reasoning Declared skill tag
- problem-reformulation Declared skill tag
- cognitive-science Declared skill tag
- research Derived category
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# 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 heuristics rather than waiting for inspiration
- Preparing for a research retreat or PhD-level ideation session
- Bridging between fields and seeking structural (not superficial) connections
**Do NOT use this skill when**:
- You need structured project-level brainstorming workflows (use `brainstorming-research-ideas`)