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- Second Brain Obsidian Vault AI Assistant
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Second Brain Obsidian Vault AI Assistant
Organize, link, and maintain Obsidian vaults with automated metadata management and MOC generation.
$9.99
Second Brain Obsidian Vault AI Assistant
Example session with this skill installed
I'm uploading 3 notes about 'Vector Databases'. Can you audit them for duplicates, suggest a consistent frontmatter schema, and create a hub note to connect them?
- Read your context and instructions
- Compiled the second brain obsidian
- Generated the document
I have analyzed the provided notes: Vector_DB_Basics.md, Pinecone_Setup.md, and Milvus_vs_Weaviate.md. There is significant overlap between the Basics note and the comparison note regarding indexing strategies.
Obsidian Vault Audit & Hub Proposal
Metadata Schema Recommendation
To keep your vector database research consistent, I recommend the following YAML frontmatter:
title: Vector Databases
type: resource/research
status: active
tags:
- machine-learning
- databases
- infrastructure
updated: 2024-05-20
Proposed Hub Note: [[Vector Databases MOC]]
# Vector Databases MOC
## Overview
A Map of Content covering architecture, implementation, and comparisons of vector search engines.
## Foundational Knowledge
- [[Vector_DB_Basics]] — Core concepts of embeddings and similarity search.
## Implementations
- [[Pinecone_Setup]] — Managed service configuration and API usage.
- [[Milvus_vs_Weaviate]] — Comparison of open-source self-hosted options.
## Potential Connections
- Check [[LLM Ops]] for deployment patterns.
- Connect to [[RAG Architecture]] for retrieval flows.
| Issue | Description | Recommendation |
|---|---|---|
| Duplicate Content | HNSW algorithm explained in two files. | Centralize HNSW logic in [[Vector_DB_Basics]]. |
| Missing Link | Pinecone_Setup mentions indexing but doesn't link to basics. | Add `[[Vector_DB_Basics |
| Tag Inconsistency | One note uses #ml and another #machine-learning. | Standardize on #machine-learning. |
Next steps
- Create the
Vector Databases MOC.mdfile with the content above. - Update the frontmatter in the three source notes for better Dataview compatibility.
- Move HNSW technical details from the comparison note to the basics note to reduce redundancy.
second-brain-obsidian-vault-ai-assistant.pdf
PDF · document
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
The problem
Building a personal knowledge base is easy, but maintaining it is hard. Most Obsidian vaults eventually become a graveyard of disconnected Markdown files, broken Wikilinks, and inconsistent metadata that makes retrieval impossible.
What it does
- Analyzes vault structure to identify orphan notes, duplicate concepts, and missing Wikilink connections.
- Generates structured notes with valid YAML frontmatter following existing vault conventions.
- Creates Maps of Content (MOCs) and hub notes to organize sprawling topics without forcing rigid folder hierarchies.
- Refactors messy notes by improving Markdown hierarchy and normalizing tags while preserving original content.
- Synthesizes answers from supplied vault files, citing specific note paths and identifying knowledge gaps.
Frameworks & tools
Obsidian, Markdown, YAML Frontmatter, Wikilinks.
Why this beats prompting it yourself
Generic LLMs often hallucinate note links or ignore your specific metadata schema. This skill is hard-coded to respect Obsidian-native conventions like Wikilinks and frontmatter standards, ensuring every suggestion is a valid, reversible edit that fits your existing workflow.
Use cases
- Perform a vault audit to find and link orphan notes.
- Convert a raw web clip into a structured permanent note with relevant metadata.
- Generate a Map of Content for a complex research topic using existing notes.
- Standardize tagging and frontmatter across a collection of project files.
Known limitations
Cannot access local vault files directly without an authorized integration or manual file uploads. Link validation is limited to the context provided in the current session.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
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Click the path to copy it. Create the folder if it does not exist yet.
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Verified clean 9 days ago
- Passed all security checks, Safe to install