idea-creator

Generate and rank research ideas with hypotheses and risk assessments.

Updated Apr 29, 2026
One-click install
npx skills add https://github.com/jkfee/Auto-Research --skill idea-creator-jkfee
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: idea-creator
Source: https://github.com/jkfee/Auto-Research/tree/main/skills/idea-creator
Command: npx skills add https://github.com/jkfee/Auto-Research --skill idea-creator-jkfee

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Researchers often spend excessive time generating and prioritizing ideas from broad directions. This skill provides a structured approach to translate high-level goals into a ranked set of publishable ideas, with evaluation criteria and planned next steps.

Core Features & Use Cases

  • Landscape-aware ideation: analyzes existing literature and gaps to seed ideas.
  • Structured idea generation: produces 8-12 concrete ideas with summaries, hypotheses, minimum viable experiments, and risk/impact assessments.
  • Phase-based filtering & planning: includes novelty checks, reviewer feedback, and pilot-ready prioritization.
  • Output & traceability: exports a formal IDEA_REPORT and writes to a research wiki to preserve memory and enable collaboration.

Quick Start

Provide a broad research direction and receive a ranked list of actionable ideas with evaluation metrics.

Frequently Asked Questions about idea-creator

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

FAQPage Schema
How do I generate publishable research ideas from a broad direction?

To generate publishable research ideas from a broad direction, provide your high-level topic to receive a ranked list of 8-12 actionable proposals. Each idea includes hypotheses, minimum viable experiments, and risk assessments derived from landscape analysis and literature synthesis.

What is the best way to structure research ideation and check for novelty?

The best way to structure research ideation and check for novelty is through phase-based filtering. This process evaluates generated concepts against existing literature gaps, applies novelty checks, and simulates reviewer feedback to ensure pilot-ready prioritization for early-stage planning.

Can I use this for early-stage proposal planning across different disciplines?

Yes, you can use this for early-stage proposal planning across different disciplines. It translates high-level goals into a prioritized list of actionable ideas with evaluation metrics, making it suitable for literature synthesis and proposal ideation regardless of the specific research field.

How does the skill preserve memory and traceability for generated ideas?

It preserves memory and traceability by exporting a formal IDEA_REPORT.md file and writing generated ideas to a research-wiki. This integration maintains a persistent record of hypotheses, pilot experiments, and landscape analysis to enable ongoing collaboration.

What does a generated research idea output include?

A generated research idea output includes a concrete summary, testable hypotheses, minimum viable experiments, and risk and impact assessments. These components are structured to provide a complete, actionable plan for early-stage research development and proposal ideation.