idea

Generate structured AI research ideas with falsifiable hypotheses and feasibility checks.

Updated Jul 1, 2026
One-click install
npx skills add https://github.com/louzhengshuai/seepscientist --skill idea-louzhengshuai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: idea
Source: https://github.com/louzhengshuai/seepscientist/tree/main/src/skills/idea
Command: npx skills add https://github.com/louzhengshuai/seepscientist --skill idea-louzhengshuai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps researchers develop concrete, testable research directions by leveraging literature search, feasibility checks, and controlled brainstorming.

Core Features & Use Cases

  • Literature Search: Conducts a comprehensive literature search to inform research directions.
  • Feasibility Checks: Evaluates the feasibility of potential research ideas.
  • Controlled Brainstorming: Encourages structured brainstorming sessions with defined boundaries.

Quick Start

Use the idea skill to generate a research idea for optimizing a deep learning model.

Frequently Asked Questions about idea

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

FAQPage Schema
How do I generate a research idea with literature grounding and feasibility checks?

To generate a research idea, this Skill conducts a literature search, compares existing methods, and evaluates feasibility to output a novel approach with a detailed plan and associated risks.

What is the best way to structure AI idea generation for novel approaches?

Structured AI idea generation uses controlled brainstorming with defined boundaries, identifying limitations and formulating falsifiable hypotheses to produce a concrete, testable research direction.

How do I perform a literature search to inform my deep learning research directions?

Literature search to inform research directions is performed by comprehensively reviewing existing AI literature, comparing current methods, and establishing a clear rationale for novelty and feasibility.

Can I use this for research ideation outside the artificial intelligence field?

Research ideation is specifically tailored for the artificial intelligence field, focusing on identifying novel AI approaches, limitations, and falsifiable hypotheses rather than general scientific domains.

What are the limitations of controlled brainstorming for research idea selection?

Controlled brainstorming for research idea selection is bounded by defined constraints and literature feasibility checks, meaning the output is limited to testable AI hypotheses with clearly associated risks.