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.