How does it help with note discovery in Obsidian?

The skill automatically applies YAML frontmatter, relevant tags, and updates Maps of Content (MOCs) to ensure your notes are easily searchable and well-organized.

Does it support bidirectional linking?

Yes, it identifies related concepts within your vault and creates internal links using the standard [[note-name]] syntax to maintain a connected knowledge web.

Can it handle different types of notes?

Yes, it includes specific templates for concepts, how-to guides, decision records, FAQs, meeting summaries, and technical references.

What is the Obsidian Knowledge Capture skill?

It is a specialized capability for Claude Code that extracts insights from your AI conversations and formats them into structured Markdown notes directly for your Obsidian vault.

Where does it save the notes?

It follows a logical vault structure (e.g., knowledge/how-to/ or projects/docs/) but can be directed to save content in specific folders based on your existing organization.

Obsidian Knowledge Capture

Name: Obsidian Knowledge Capture
Author: astoreyai

byastoreyai

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内容管理

Transforms AI conversations and discussions into structured, discoverable documentation within an Obsidian vault.

关于

This skill empowers Claude to act as a sophisticated knowledge manager for your Obsidian vault, intelligently extracting key insights, decisions, and technical documentation from chat contexts. It automates the creation of high-quality Markdown notes—including Architecture Decision Records (ADRs), concepts, and how-to guides—using standardized templates and YAML frontmatter. By managing folder organization, bidirectional linking, and Map of Content (MOC) updates, this skill ensures your personal or team knowledge base remains organized, linked, and easily searchable without manual formatting overhead.

主要功能

Automated content extraction from chat history and problem-solving sessions
Standardized templates for ADRs, concepts, how-to guides, and meeting notes
Comprehensive YAML frontmatter and tagging automation for easy discovery
1 GitHub stars
Dynamic Map of Content (MOC) integration and bidirectional linking
Intelligent vault organization with customizable folder structures

使用场景

Building a structured technical wiki or 'second brain' from experimental AI interactions
Capturing step-by-step troubleshooting guides and workflows discussed during coding sessions
Documenting complex technical decisions as Architecture Decision Records (ADRs) during development

关于

主要功能

Automated content extraction from chat history and problem-solving sessions
Standardized templates for ADRs, concepts, how-to guides, and meeting notes
Comprehensive YAML frontmatter and tagging automation for easy discovery
1 GitHub stars
Dynamic Map of Content (MOC) integration and bidirectional linking
Intelligent vault organization with customizable folder structures

使用场景

Building a structured technical wiki or 'second brain' from experimental AI interactions
Capturing step-by-step troubleshooting guides and workflows discussed during coding sessions
Documenting complex technical decisions as Architecture Decision Records (ADRs) during development