Applies cognitive science frameworks for creative thinking to CS and AI research ideation. Use when seeking genuinely novel research directions by leveraging…
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) You have a well-defined problem and need execution help (use domain-specific skills) You need a literature survey (use scientific-skills:literature-review) Relationship to Brainstorm skill: The brainstorm skill provides operational workflows (diverge → converge → refine) and practical filters. This skill provides the deeper cognitive engines that power creative leaps. Use them together: creative-thinking to generate raw insight, brainstorm to structure and evaluate it.
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