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obsidian-link-suggester

Analyze Obsidian vault notes to propose link suggestions with confidence scoring.

Updated Aug 23, 2026
Search Tags:#obsidian#bilingual#knowledge-graph#wikilinks#entity-mentions#link-suggester
One-click install
npx skills add https://github.com/jeongsk/langchain-academy --skill obsidian-link-suggester
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: obsidian-link-suggester
Source: https://github.com/jeongsk/langchain-academy/tree/main/.claude/skills/obsidian-link-suggester
Command: npx skills add https://github.com/jeongsk/langchain-academy --skill obsidian-link-suggester

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Discover and propose meaningful connections between notes in an Obsidian vault, enabling richer knowledge graphs and faster discovery.

Core Features & Use Cases

  • Entity-Based Connections: identify notes mentioning the same people, technologies, or concepts.
  • Semantic Similarity: surface notes with overlapping terminology to surface related content.
  • Orphan Detection: find notes with no inbound or outbound links for integration.
  • Actionable Suggestions: provide concrete recommendations to improve navigation.

Quick Start

Run the tool against your vault to generate a report of high-confidence suggestions and links to consider adding.

Frequently Asked Questions about obsidian-link-suggester

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

FAQPage Schema
How do I discover missing links between my Obsidian notes?▼

This tool analyzes your vault to identify meaningful connections between notes by examining shared entities, semantic similarity, and orphaned content. It generates actionable link suggestions with confidence scores to help you build a richer knowledge graph faster.

Can I use link suggestions to connect notes across Korean and English content?▼

Yes, the tool is built to handle bilingual vaults. It analyzes both Korean and English notes for entity mentions, terminology overlap, and co-occurrence patterns to surface relevant cross-language connections within your knowledge graph.

How does the tool identify orphaned notes in my vault?▼

It detects notes with no inbound or outbound links by scanning your vault structure. This helps you find isolated content that could be integrated into your knowledge graph through meaningful connections to related notes.

What's the difference between entity-based and semantic similarity link suggestions?▼

Entity-based suggestions connect notes mentioning the same people, technologies, or concepts. Semantic similarity surfaces notes with overlapping terminology and related ideas, offering two complementary discovery paths for your knowledge graph.

Do I need to manually review the suggested links before adding them?▼

The tool provides confidence scores with each suggestion, allowing you to prioritize high-confidence recommendations. You control which suggestions to apply, ensuring only meaningful links improve your vault's navigation and structure.

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