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.