# Creative Thinking For Research

Applies cognitive science frameworks for creative thinking to CS and AI research ideation.

- Repository: https://github.com/Orchestra-Research/AI-Research-SKILLs (14176 stars)
- Category: Writing
- License: MIT
- Last updated: 2026-10-11
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add Orchestra-Research/AI-Research-SKILLs --skill creative-thinking-for-research -g -a claude-code -y`
Codex: `npx skills add Orchestra-Research/AI-Research-SKILLs --skill creative-thinking-for-research -g -a codex -y`
Cursor: `npx skills add Orchestra-Research/AI-Research-SKILLs --skill creative-thinking-for-research -g -a cursor -y`
Gemini CLI: `npx skills add Orchestra-Research/AI-Research-SKILLs --skill creative-thinking-for-research -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add Orchestra-Research/AI-Research-SKILLs`

## Description

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.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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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## Framework 1: Combinatorial Creativity (Bisociation)

Novel ideas arise from combining existing concepts in unexpected ways. Arthur Koestler called this **bisociation**, connecting two previously unrelated frames of reference, as distinct from routine association within a single frame.

The rest: https://github.com/Orchestra-Research/AI-Research-SKILLs/blob/HEAD/21-research-ideation/creative-thinking-for-research/SKILL.md