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.