find-similar

Search memory stores and graph connections to assess cross-domain pattern similarity.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/bogheorghiu/ex-cog --skill find-similar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: find-similar
Source: https://github.com/bogheorghiu/ex-cog/tree/main/vasana-system/skills/find-similar
Command: npx skills add https://github.com/bogheorghiu/ex-cog --skill find-similar

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Cross-domain pattern verification: quickly determine whether a observed pattern exists elsewhere to validate novelty and inform recording decisions.

Core Features & Use Cases

  • Cross-domain similarity search across domains to confirm patterns.
  • Evaluates whether a pattern is novel or already captured in memory.
  • Supports multi-domain exploration to reveal universal dynamics.

Quick Start

Analyze a noticed pattern by invoking the search for similar patterns across domains.

Frequently Asked Questions about find-similar

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

FAQPage Schema
How do I verify if a pattern I noticed exists in other domains?

Cross-domain pattern verification involves searching across memory stores and graph connections to determine if an observed dynamic is novel or already captured elsewhere.

What is cross-domain similarity search used for?

Cross-domain similarity search is used to confirm or refute pattern universality by applying structured exploration across multiple domains, informing decisions about recording or further investigation.

How do I check whether an observed dynamic is novel or already captured?

You check pattern novelty by invoking a structured search across memory stores and graph connections, which produces a concise similarity assessment to confirm or refute existing captures.

Does cross-domain pattern recognition work without external dependencies?

Yes, cross-domain pattern recognition operates without external dependencies, relying entirely on internal structured searches across memory stores and edge graph connections to produce similarity assessments.

When should I use cross-domain exploration for pattern matching?

Use cross-domain exploration when you need to validate pattern universality and decide whether to record a newly noticed dynamic or conduct further exploration across different domains.