idea-creator

Generate and rank research ideas with novelty checks and evaluation criteria.

5|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/llv22/AutoResearchWithEyes --skill idea-creator-llv22
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: idea-creator
Source: https://github.com/llv22/AutoResearchWithEyes/tree/main/skills/idea-creator
Command: npx skills add https://github.com/llv22/AutoResearchWithEyes --skill idea-creator-llv22

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematically generate and rank concrete research ideas from a broad direction, transforming vague user input into a structured, actionable plan.

Core Features & Use Cases

  • Multi-phase idea pipeline: landscape survey, divergent generation, novelty checks, and prioritized pilots.
  • Cross-workflow compatibility: works with /research-lit, /novelty-check, /research-review to form a complete discovery stream.
  • Use Case: starting from a topic like "scalable RL for robotics," it outputs a ranked list of ideas with hypotheses, experiments, and expected contributions.

Quick Start

Provide a broad research direction to begin the idea discovery and ranking process.

Frequently Asked Questions about idea-creator

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

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

To generate concrete research ideas from a broad direction, use a structured idea pipeline that performs landscape mapping, novelty checks, and pilot experiment planning. This process transforms vague topics into a ranked report of actionable hypotheses and expected contributions.

What is the best way to brainstorm and rank publishable research topics?

The best way to brainstorm and rank publishable research topics is through a multi-phase pipeline involving landscape surveys, divergent generation, and novelty checks. This approach outputs a prioritized list of ideas complete with proposed experiments and evaluation criteria.

How do I prepare a structured idea pipeline for a grant proposal?

Preparing a structured idea pipeline for a grant proposal involves mapping the research landscape, performing novelty checks against existing literature, and prioritizing pilot experiments. This yields a ranked report detailing concrete hypotheses and expected research contributions.

Can I use landscape survey and novelty check workflows for exploratory research?

Yes, you can use landscape survey and novelty check workflows for exploratory research to validate multiple concrete ideas. This multi-phase pipeline systematically evaluates research directions, ensuring your final selection includes structured hypotheses and expected contributions.

Does idea generation work with literature survey and research review workflows?

Idea generation is cross-workflow compatible, working directly with literature survey, novelty check, and research review workflows. Integrating these forms a complete discovery stream that outputs a ranked list of ideas with hypotheses and experiments.