research

Orchestrate research goals, hypothesis generation, Elo debates, and meta-review feedback.

Updated Jul 3, 2026

Search Tags:#research automation #hypothesis generation #meta-review #knowledge lifecycle #Elo debate

Ready to run

npx skills add https://github.com/GiorgioRicciardiello/LabBrain --skill research-giorgioricciardiello

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research
Source: https://github.com/GiorgioRicciardiello/LabBrain/tree/main/core/.claude/skills/research
Command: npx skills add https://github.com/GiorgioRicciardiello/LabBrain --skill research-giorgioricciardiello

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the full research lifecycle, from goal creation to hypothesis generation, debate, and evolution, reducing manual effort and improving the quality of research outcomes.

Core Features & Use Cases

Goal Creation: Create and manage research goals with structured input.
Hypothesis Generation: Automatically generate hypotheses based on goals.
Debate and Evolution: Rank hypotheses through pairwise Elo debates.
Meta-Review Feedback: Integrate feedback from meta-reviews to refine research direction.
Use Case: Ideal for researchers who want to streamline the hypothesis generation and validation process, especially those working with large datasets or complex research questions.

Quick Start

Start the research process by creating a new goal or selecting an existing one with the command: /research [goal-slug | new].

Frequently Asked Questions about research

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

FAQPage Schema

How do I automate hypothesis generation for complex research questions?▼

Automate hypothesis generation by defining a structured research goal, which triggers machine learning models to automatically generate and rank potential hypotheses. This reduces manual effort and streamlines the validation process for complex research datasets.

What is pairwise Elo debate for ranking research hypotheses?▼

Pairwise Elo debate is a ranking mechanism where hypotheses are evaluated against each other to assign competitive scores. This automated debate process systematically identifies and elevates the strongest research hypotheses.

How do I integrate meta-review feedback into an automated research lifecycle?▼

Integrate meta-review feedback by feeding it back into the research orchestration lifecycle, which refines the research direction and automatically adjusts future hypothesis generation. This ensures continuous improvement of research outcomes.

Do I need a structured vault to automate the research lifecycle?▼

Yes, you need a structured vault for data storage and access to support the research lifecycle. This vault requirement ensures that goals, generated hypotheses, and debate data are organized and accessible.

How do I start automating research goals from creation to debate?▼

Start automating the research lifecycle by creating a new goal or selecting an existing one using a goal slug. The system then orchestrates hypothesis generation, Elo debate ranking, and meta-review feedback automatically.