Creative Thinking for Research

Creative Thinking for Research is an AI Engineering skill for Claude Code, published by OpenRaiser in NanoResearch.

1.4K stars95 forkson OpenRaiser/NanoResearchAdded 2026/08/19Repository updated 2026/05/26

agent-skillsagentsaiai-agentsai-scientistartificial-intelligenceautonomous-agentsautonomous-researchautoresearchclaude-codeclaude-skillsnanobotopenclaw

Install in seconds

Install Creative Thinking for Research

Copy Creative Thinking for Research into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/OpenRaiser/NanoResearch/tree/main/skills/vendor-ai-research/creative-thinking-for-research ~/.claude/skills/creative-thinking-for-research

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/OpenRaiser/NanoResearch.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/vendor-ai-research/creative-thinking-for-research/SKILL.md in OpenRaiser/NanoResearch
Installs to: ~/.claude/skills/creative-thinking-for-research
Collection: One of 16 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Creative Thinking for Research does

Creative Thinking for Research applies eight cognitive science frameworks to generate novel research directions in computer science and AI. Use it when seeking genuinely novel directions via combinatorial creativity, analogical reasoning, and constraint manipulation.

Creative Thinking for Research is cataloged under AI Engineering on DirSkills. Creative Thinking for Research comes from a repository tagged agent-skills, agents, ai, ai-agents and ai-scientist.

Documentation

README

Excerpt

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

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Creative Thinking for Research

What else does OpenRaiser publish alongside Creative Thinking for Research?
Creative Thinking for Research is one of 16 skills that DirSkills catalogs from OpenRaiser/NanoResearch, the repository it ships in. Its siblings there include Academic Plotting, Autoresearch and Hugging Face Accelerate. Each one is a separate skill with its own page in this directory, installs the same way Creative Thinking for Research does, and is maintained by OpenRaiser in that same repository. The rest of the collection is listed on the OpenRaiser/NanoResearch page.
How does Creative Thinking for Research compare to other AI Engineering skills?
Creative Thinking for Research ranks #1074 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Creative Thinking for Research against them. Open each page to compare what they document and how they install.