auto-discovery

Discover non-obvious cross-domain connections between notes by analyzing conceptual strength.

103|31|Updated Nov 2, 2025
One-click install
npx skills add https://github.com/Abilityai/cornelius --skill auto-discovery
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: auto-discovery
Source: https://github.com/Abilityai/cornelius/tree/main/.claude/skills/auto-discovery
Command: npx skills add https://github.com/Abilityai/cornelius --skill auto-discovery

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill identifies non-obvious, cross-domain connections within your knowledge base that might be missed by simple semantic similarity, helping you discover deeper insights and synthesis opportunities.

Core Features & Use Cases

  • Cross-Domain Connection Discovery: Finds meaningful relationships between notes from different thematic clusters.
  • Conceptual Strength Analysis: Rates the conceptual strength of discovered links, prioritizing those with high insight potential.
  • Use Case: Imagine you're researching AI ethics and discover a surprising connection to ancient philosophy. This Skill helps formalize and document such non-obvious links, fostering new avenues of thought.

Quick Start

Run the auto-discovery skill to find new connections in your knowledge base.

Frequently Asked Questions about auto-discovery

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

FAQPage Schema
How do I discover non-obvious cross-domain connections between my notes?

To discover non-obvious cross-domain connections, the Skill samples diverse thematic clusters and analyzes conceptual strength to identify relationships with low semantic similarity but high value for knowledge synthesis.

What is knowledge synthesis and how does cross-domain analysis find hidden insights?

Knowledge synthesis via cross-domain analysis finds hidden insights by sampling diverse thematic clusters and rating conceptual strength, prioritizing relationships that simple semantic similarity would typically miss.

Do I need a Local Brain Search index to find connections between permanent notes?

Yes, finding connections between permanent notes requires an up-to-date Local Brain Search index, along with access to your AI-extracted and document insight notes for accurate thematic analysis.

What's the best way to find insight generation opportunities across different thematic clusters?

The best way to find insight generation opportunities is running an analysis that samples diverse thematic clusters and evaluates conceptual strength to uncover high-value links between different domains.

Why does simple semantic similarity miss cross-domain connections in my knowledge base?

Simple semantic similarity misses cross-domain connections because it relies on direct keyword matching, whereas discovering meaningful synthesis opportunities requires analyzing conceptual strength across diverse thematic clusters.