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creative-thinking-for-research

Generates novel CS and AI research directions using eight cognitive creativity frameworks.

Updated Apr 3, 2026
Search Tags:#creative-thinking#cognitive-science#research-ideation#analogical-reasoning#problem-reformulation#constraint-manipulation#adjacent-possible
One-click install
npx skills add https://github.com/handsomelong922/my-codex-skills --skill creative-thinking-for-research-handsomelong922
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: creative-thinking-for-research
Source: https://github.com/handsomelong922/my-codex-skills/tree/main/skills/creative-thinking-for-research
Command: npx skills add https://github.com/handsomelong922/my-codex-skills --skill creative-thinking-for-research-handsomelong922

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Eight empirically grounded frameworks guide researchers to move beyond ad-hoc brainstorming and generate novel computer science and AI research directions, backed by decades of creativity research.

Core Features & Use Cases

  • Structured ideation: uses eight cognitive frameworks to expand the search space for research problems.
  • Cross-domain inspiration: promotes distant analogies and interdisciplinary mappings to spark novel directions.
  • Protocol-based workflow: includes a phased approach (map space, generate disruptions, deepen leads, evaluate) to guide sessions.

Quick Start

Run a 4-phase ideation session applying eight cognitive frameworks to generate novel CS/AI research directions.

Frequently Asked Questions about creative-thinking-for-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate novel AI research directions beyond ad-hoc brainstorming?▼

Structured ideation for AI research uses eight cognitive creativity frameworks to expand the search space, moving beyond ad-hoc brainstorming to systematically generate novel directions. It applies a protocol-based workflow to guide sessions.

What is the adjacent possible framework in computer science research ideation?▼

The adjacent possible is one of eight cognitive frameworks applied during CS research ideation. It works alongside constraint manipulation and analogical reasoning to systematically map problem spaces and generate disruptions.

How do I use analogical reasoning for cross-domain AI problem reformulation?▼

Analogical reasoning facilitates cross-domain inspiration by promoting distant analogies and interdisciplinary mappings. This cognitive framework generates novel AI research directions by reformulating existing problems across different domains.

What is the best way to structure a research ideation session using cognitive science?▼

The best way to structure research ideation is a four-phase protocol: map the problem space, generate disruptions, deepen leads, and evaluate. This applies eight cognitive frameworks to systematically expand the search space.

Do I need external tools to apply creative thinking frameworks for research ideation?▼

No external tools are required to apply these creative thinking frameworks. The process loads frontmatter-driven instructions to activate and guide structured ideation sessions for generating computer science and AI research directions.

Can I use constraint manipulation for distant analogies in computer science research?▼

Yes, constraint manipulation is an empirically grounded cognitive framework used to spark cross-domain inspiration. It works with distant analogies to systematically generate novel research directions in computer science.

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