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graph

Route natural language questions to graph scripts and interpret results in domain vocabulary.

1|Updated Mar 6, 2026
Search Tags:#insights#knowledge-graph#natural-language#wikilinks#graph-traversal#graph-analysis
One-click install
npx skills add https://github.com/adiman9/mnemos --skill graph-adiman9
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: graph
Source: https://github.com/adiman9/mnemos/tree/main/core/skills/graph
Command: npx skills add https://github.com/adiman9/mnemos --skill graph-adiman9

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This interactive skill routes natural language questions to graph scripts, interprets results in domain vocabulary, and suggests concrete actions to advance knowledge-graph analysis.

Core Features & Use Cases

  • Route and interpret graph-related queries including health, triangles, bridges, clusters, hubs, and both forward and backward traversals.
  • Present findings in domain terms and surface actionable next steps to drive insights.
  • Use cases include assessing graph health, identifying synthesis opportunities, and mapping connections across a corpus of notes.

Quick Start

Ask the agent to run health, triangles, bridges, or clusters analysis on your knowledge graph.

Frequently Asked Questions about graph

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

FAQPage Schema
How do I analyze knowledge graph health and identify structural gaps in my notes?▼

Knowledge graph health analysis routes natural language questions to graph scripts, interpreting results in domain vocabulary to assess clusters, bridges, and structural gaps across your notes.

What is the best way to find synthesis opportunities across a knowledge graph corpus?▼

Finding synthesis opportunities involves routing natural language queries to graph scripts that map connections across note corpora, surfacing actionable next steps in domain vocabulary.

How do I run forward and backward graph traversals on my notes using natural language?▼

Graph traversals use natural language routing to query connections forward and backward across your knowledge graph, interpreting results in domain vocabulary and suggesting concrete actions.

Can I identify hubs, bridges, and clusters in my knowledge graph without manual scripting?▼

Yes, natural language questions route directly to graph scripts that identify hubs, bridges, and clusters, interpreting structural results in domain vocabulary and surfacing concrete next steps.

Do I need a .mnemos.yaml configuration file to perform knowledge graph analysis?▼

Yes, knowledge graph analysis relies on vault path resolution via .mnemos.yaml, derivation-manifest vocabulary, and config.yaml mappings to route queries and interpret results correctly.

Why does my knowledge graph analysis return results in unfamiliar vocabulary?▼

Graph analysis interprets results using derivation-manifest vocabulary and config.yaml mappings, translating structural findings into domain terms so outputs match your knowledge graph's terminology.

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