ideate

Name: ideate
Availability: InStock
Author: Chanw-research

Automate five-phase ideation from landscape insights to wiki write-back.

38|3|Updated May 7, 2026

Search Tags:#automation #brainstorming #research #ideation #validation #wiki

Ready to run

npx skills add https://github.com/Chanw-research/claude-code-paper-writing --skill ideate-chanw-research

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ideate
Source: https://github.com/Chanw-research/claude-code-paper-writing/tree/main/empirical-research-notes/empirical-wiki/i18n/en/skills/ideate
Command: npx skills add https://github.com/Chanw-research/claude-code-paper-writing --skill ideate-chanw-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinates a disciplined, end-to-end ideation workflow that converts landscape insights and knowledge gaps into concrete research ideas, enabling faster, more rigorous project inception.

Core Features & Use Cases

Five-phase ideation pipeline: landscape scan, dual-model brainstorm, first-pass filter, deep validation, and wiki write-back.
Wiki-grounded outputs: ideas pages, graph edges, and a transparent audit trail to support reproducibility.
Use Cases: researchers drafting new projects, grant proposal ideation, and methodological brainstorming anchored in existing wiki pages.

Quick Start

Provide a research direction and run ideate to generate up to the default number of ideas and write them to the wiki.

Frequently Asked Questions about ideate

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

FAQPage Schema

How do I automate research idea generation from existing knowledge gaps?▼

Structured research ideation automates the transformation of landscape insights and knowledge gaps into concrete ideas. It uses a five-phase pipeline—landscape scan, dual-model brainstorm, first-pass filtering, deep validation, and wiki write-back—to generate, filter, and validate research concepts.

What is the best way to structure brainstorming for a new academic research project?▼

The best way to structure academic brainstorming is using a dual-model approach that filters initial ideas through deep validation. This coordinated workflow converts landscape insights into concrete research proposals while maintaining an auditable record of both proposed and eliminated ideas for reproducibility.

Can I use a wiki knowledge base to anchor and validate new research ideas?▼

Yes, you can anchor research ideation using a wiki-backed knowledge base. The process grounds generated ideas by writing them directly to the wiki as idea pages and graph edges, creating a transparent audit trail that supports reproducibility and traceability for grant proposals or project inception.

How do I run a landscape scan to identify research gaps before brainstorming?▼

To identify research gaps, run an automated landscape scan as the first phase of the ideation pipeline. This scan analyzes existing knowledge bases and external search results to map the current research landscape, directly feeding discovered gaps into the subsequent dual-model brainstorming phase.

Does structured research ideation keep an audit trail of eliminated ideas?▼

Yes, structured research ideation maintains an auditable record of both proposed and eliminated ideas. During the first-pass filtering and deep validation phases, rejected concepts are documented alongside validated ones, ensuring a transparent trail that supports rigorous project inception and reproducible methodology.