idea-creator

Generate and rank research ideas through landscape surveying, brainstorming, and pilot validation.

1|Updated Jul 21, 2026
One-click install
npx skills add https://github.com/dogekiki/SP-test --skill idea-creator-dogekiki
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: idea-creator
Source: https://github.com/dogekiki/SP-test/tree/main/.trae/skills/idea-creator
Command: npx skills add https://github.com/dogekiki/SP-test --skill idea-creator-dogekiki

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the challenge of moving from a broad research direction to a concrete, validated, and ranked set of actionable research ideas by automating the literature survey, brainstorming, and pilot experiment phases.

Core Features & Use Cases

  • Landscape Survey: Automatically maps research areas, identifies structural gaps, and scans local literature to avoid redundant work.
  • Cross-Model Validation: Uses a multi-stage jury process with devil's advocate reasoning to objectively rank ideas based on novelty and feasibility.
  • Pilot Experimentation: Deploys cheap, parallel pilot experiments to provide empirical signals before committing to full-scale research.

Quick Start

Invoke the idea-creator skill with your specific research topic to begin the automated generation and validation pipeline.

Frequently Asked Questions about idea-creator

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

FAQPage Schema
How do I systematically generate and validate publishable research ideas?

To systematically generate research ideas, you need an automated pipeline that surveys the literature, performs divergent brainstorming, and runs pilot experiments to validate novelty and feasibility. This orchestrates that exact multi-phase pipeline to output ranked, actionable topics.

Can I run cheap pilot experiments to test research feasibility before full-scale commitment?

Yes, you can deploy cheap, parallel pilot experiments to gather empirical signals before committing to full-scale research. This provides early validation data to objectively rank ideas based on their actual feasibility and novelty.

How do you rank brainstorming ideas for novelty and feasibility?

Ranking brainstorming ideas requires a multi-stage jury process with devil's advocate reasoning to objectively evaluate each concept. This cross-model validation ensures only ideas meeting rigorous novelty and feasibility standards proceed to experimentation.

Do I need external reviewer backends for automated ideation and experimentation?

Yes, automated ideation requires integration with research-wiki and external reviewer backends to maintain rigorous novelty and feasibility standards. These dependencies enable the system to objectively validate generated topics against existing literature.