idea-workbench

Generates and evaluates research idea candidates with evidence-based criteria.

5|Updated Apr 13, 2026
One-click install
npx skills add https://github.com/caozx1110/ResearchLab --skill idea-workbench
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: idea-workbench
Source: https://github.com/caozx1110/ResearchLab/tree/main/skills/idea-workbench
Command: npx skills add https://github.com/caozx1110/ResearchLab --skill idea-workbench

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill solves the challenge of turning raw research directions into rigorous, evidence-backed idea units by providing a structured environment for analysis, peer-review, and collaborative discussion.

Core Features & Use Cases

  • Evidence-First Analysis: Validates novelty, feasibility, and recommendations by linking claims directly to verbatim evidence in your local knowledge base.
  • Sparring Mode: Facilitates a structured discussion with an AI reviewer to challenge assumptions, probe logic, and identify counter-examples.
  • Multi-Candidate Management: Supports two-stage authoring to generate, compare, and explicitly select the best research ideas from a pool of candidates.

Quick Start

Use the idea-workbench skill to generate four research candidates for the topic of adaptive retrieval policies.

Frequently Asked Questions about idea-workbench

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

FAQPage Schema
How do I validate research idea feasibility using an evidence-based approach?

To validate research idea feasibility, this Skill links novelty and recommendation claims directly to verbatim evidence in your local knowledge base, ensuring all assertions are grounded in verifiable artifacts. It enforces a two-stage prepare-verify contract to maintain strict data integrity.

Can I generate and compare multiple research candidates before committing to one?

Yes, you can generate and compare multiple research candidates. The Skill supports two-stage authoring to create a pool of ideas, compare them against evidence, and explicitly select the best research direction for your project.

How does peer-review sparring work for challenging research assumptions?

Peer-review sparring works by facilitating structured discussion with an AI reviewer to challenge assumptions, probe logic, and identify counter-examples. This ensures your research idea units are rigorously tested before finalizing the analysis.

What is the best way to manage the lifecycle of research idea units?

The best way to manage research idea units is through a structured lifecycle of evidence-based generation, analysis, and peer-review. This Skill operates on local knowledge base units to ensure provenance and data integrity for research decision-making.

Do I need a local knowledge base to use this evidence-first research analysis tool?

Yes, a local knowledge base is required. The Skill operates directly on local knowledge base units to ensure all claims are grounded in immutable source material and verifiable artifacts, maintaining strict data provenance for your research.

Why should I use evidence-first research ideation over standard brainstorming methods?

Evidence-first research ideation ensures all claims are validated against immutable source material, preventing ungrounded assumptions. Unlike standard brainstorming, it implements a prepare-verify contract to maintain strict data integrity and provenance for research decision-making.