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GiorgioRicciardiello
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generate

Generate literature-grounded hypotheses from a knowledge vault using NLP.

Updated Jul 3, 2026
Search Tags:#research automation#NLP#knowledge discovery#hypothesis generation#literature synthesis
One-click install
npx skills add https://github.com/GiorgioRicciardiello/LabBrain --skill generate-giorgioricciardiello
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: generate
Source: https://github.com/GiorgioRicciardiello/LabBrain/tree/main/core/.claude/skills/generate
Command: npx skills add https://github.com/GiorgioRicciardiello/LabBrain --skill generate-giorgioricciardiello

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires spacy, transformers, nltk, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the generation of novel, literature-grounded hypotheses for research goals, reducing manual effort and increasing efficiency in knowledge discovery.

Core Features & Use Cases

  • Literature Synthesis: Generates hypotheses by analyzing relevant literature and identifying knowledge gaps.
  • Self-Play Debate: Simulates debates between expert perspectives to extract promising hypotheses.
  • Assumption-Based Reasoning: Develops alternative hypotheses based on relaxing or replacing assumptions of existing ones.
  • Research Expansion: Explores under-explored regions of the hypothesis space based on meta-reviews and landscape analysis.
  • Use Case: Researchers can use this Skill to quickly generate a set of hypotheses for a given research goal, saving time and effort in the initial stages of their research.

Quick Start

To generate hypotheses for the goal with the slug 'gene-regulation', use the generate skill with the following command: generate --goal gene-regulation.

Frequently Asked Questions about generate

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

FAQPage Schema
How do I automate hypothesis generation from existing research literature?▼

You can automate hypothesis generation by applying NLP techniques like literature synthesis and assumption-based reasoning to textual data, extracting novel hypotheses from knowledge gaps. This process reduces manual literature review effort.

What is self-play debate simulation for research expansion?▼

Self-play debate simulation extracts promising hypotheses by simulating debates between expert perspectives on a research topic. It develops alternative hypotheses by relaxing or replacing existing assumptions.

How do I generate research hypotheses using a knowledge vault?▼

Generate research hypotheses by running an NLP command targeting a specific goal slug within your knowledge vault. The system analyzes relevant textual data to synthesize literature and identify knowledge gaps.

Do I need spaCy and transformers to run literature synthesis?▼

Yes, literature synthesis and assumption-based reasoning require NLP and text processing capabilities, typically using libraries like spaCy, transformers, and NLTK to process textual data effectively.

What is the best way to discover knowledge gaps in meta-reviews?▼

The best way to discover knowledge gaps is through research expansion, which explores under-explored regions of the hypothesis space based on meta-reviews and landscape analysis.

Can I use this for assumption-based reasoning in NLP research?▼

Yes, assumption-based reasoning develops alternative hypotheses by relaxing or replacing assumptions of existing ones using NLP techniques. It processes textual data to expand your research capabilities.

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