ideate

Generate wiki-grounded research ideas via a five-phase ideation pipeline.

2|Updated Apr 19, 2026

Search Tags:#ideation #multi-phase #dual-model #idea-filtering #research-ideas #wiki-grounded #deep-validation

Ready to run

npx skills add https://github.com/jmeier1963/omegawiki-insilico-socialscience --skill ideate-jmeier1963

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ideate
Source: https://github.com/jmeier1963/omegawiki-insilico-socialscience/tree/main/.claude/skills/ideate
Command: npx skills add https://github.com/jmeier1963/omegawiki-insilico-socialscience --skill ideate-jmeier1963

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates end-to-end generation of high-quality research ideas anchored in a living wiki knowledge base, reducing time to brainstorm and align ideas with established gaps and claims.

Core Features & Use Cases

Multi-phase ideation pipeline: landscape scan, dual-model brainstorm, first-pass filter, deep validation, and wiki integration.
Wiki-grounded grounding: links ideas to relevant papers, concepts, and claims, ensuring traceability.
Collaborative and auto modes: supports interactive review and fully automatic runs with the --auto flag for rapid exploration.
Use Case: a research team exploring in-silico social science topics can generate, validate, and write ideas to wiki pages for discussion rows and experiments.

Quick Start

Generate 8–12 novel research ideas grounded in the wiki knowledge base and the latest literature.

Frequently Asked Questions about ideate

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

FAQPage Schema

How do I generate research ideas grounded in an existing wiki knowledge base?▼

To generate research ideas, this Skill uses a five-phase pipeline that scans the wiki landscape, brainstorms using dual models, filters results, validates deeply, and writes final ideas to wiki pages. It connects established wiki gaps and weak claims to external literature for traceable novelty.

What is the best way to automate end-to-end research ideation for social science topics?▼

The best way to automate research ideation is running the pipeline with the --auto flag, which enables fully automatic exploration from landscape scanning to wiki writing. You can also use --max-ideas to control output volume and --skip-validation to increase processing speed.

Can I use this multi-phase ideation pipeline for in-silico social science research?▼

Yes, the ideation pipeline is specifically tailored for in-silico social science topics. It leverages wiki gaps, weak claims, and external literature to produce research ideas that are both novel and actionable for social science research teams.

How does wiki-grounded brainstorming validate novel research ideas?▼

Wiki-grounded brainstorming validates ideas by linking them to relevant papers, concepts, and claims within the knowledge base during the deep validation phase. This ensures every generated idea is traceable to established literature and identified wiki gaps before being written.

What are the limitations of using automated ideation pipelines for academic research?▼

A limitation of automated ideation is that fully automatic runs using --auto bypass interactive review, which may reduce human oversight. Additionally, skipping the validation phase with --skip-validation trades output quality for speed, potentially producing less grounded research ideas.

Do I need a pre-existing wiki to use the dual-model research idea generator?▼

Yes, you need a living wiki knowledge base because the generator anchors its end-to-end ideation pipeline to existing wiki pages, graph edges, and identified knowledge gaps. Generated ideas are written directly to wiki/ideas directories and associated graph edges.