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awesome-search-kg-hubs

Rank notes by inbound links and flag mismatches with Topics notes.

1.6k|142|Updated Sep 9, 2019
Search Tags:#knowledge-graph#mismatch-detection#inbound-links#link-analysis#hub-audit#topic-notes#vault-review
One-click install
npx skills add https://github.com/frutik/awesome-search --skill awesome-search-kg-hubs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: awesome-search-kg-hubs
Source: https://github.com/frutik/awesome-search/tree/main/claude-skills/awesome-search-kg-hubs
Command: npx skills add https://github.com/frutik/awesome-search --skill awesome-search-kg-hubs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps maintain the integrity of the Awesome Search Obsidian vault by identifying hub notes via inbound link counts and spotting mismatches where hub concepts have higher engagement than their corresponding Topics pages, enabling proactive graph health maintenance.

Core Features & Use Cases

  • Inbound hub ranking: rank notes by inbound links to surface likely hub concepts.
  • Mismatch detection: compare hub notes against existing Topics/ notes and flag gaps where topic pages lag behind concept hubs.
  • Actionable recommendations: propose elevated, linked, merged, or monitored changes without applying them automatically.
  • Periodic health reviews: ideal for monthly graph health checks after large content ingestions.

Quick Start

Run the hub audit on the Awesome Search vault to surface top hub notes and mismatches with Topics notes.

Frequently Asked Questions about awesome-search-kg-hubs

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

FAQPage Schema
How do I find hub notes in an Obsidian vault by inbound link count?▼

Hub note ranking analyzes inbound links to identify high-traffic concept pages. This surfaces likely hub notes by comparing inbound link counts against existing Topic pages to reveal engagement misalignments.

How do I detect topic page gaps in a knowledge graph?▼

Mismatch detection compares inbound-link-based hubs to existing Topics notes and flags gaps. This identifies where topic pages lag behind concept hubs, outputting structured recommendations for vault review.

Can I audit an Obsidian vault graph for concept and topic misalignments?▼

Yes, vault audits apply during periodic graph health reviews and after large article batches. The audit flags mismatches between Concepts and Topics, outputting structured recommendations without modifying notes automatically.

What is the best way to maintain knowledge graph health after large content ingestions?▼

Periodic health reviews identify hub notes via inbound links and spot mismatches where hub concepts have higher engagement than corresponding Topics pages. This enables proactive graph health maintenance without auto-applying changes.

Does the hub audit automatically modify notes when proposing elevated or merged changes?▼

No, the hub audit does not modify notes automatically. It proposes elevated, linked, merged, or monitored changes by outputting structured recommendations for manual review and graph health maintenance.

When should I run a vault review for inbound link analysis and mismatch detection?▼

Run vault reviews during monthly graph health checks or after large content ingestions. This surfaces misalignments between Concepts and Topics, generating actionable recommendations to resolve topic-page gaps.

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