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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    Second Brain Obsidian Vault AI Assistant

    1

    Organize, link, and maintain Obsidian vaults with automated metadata management and MOC generation.

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    Second Brain Obsidian Vault AI Assistant

    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.
    
    IssueDescriptionRecommendation
    Duplicate ContentHNSW algorithm explained in two files.Centralize HNSW logic in [[Vector_DB_Basics]].
    Missing LinkPinecone_Setup mentions indexing but doesn't link to basics.Add `[[Vector_DB_Basics
    Tag InconsistencyOne note uses #ml and another #machine-learning.Standardize on #machine-learning.

    Next steps

    1. Create the Vector Databases MOC.md file with the content above.
    2. Update the frontmatter in the three source notes for better Dataview compatibility.
    3. Move HNSW technical details from the comparison note to the basics note to reduce redundancy.

    second-brain-obsidian-vault-ai-assistant.pdf

    PDF · document

    Generated

    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

    Detect and merge duplicate concepts across multiple Markdown notes.Generate consistent YAML frontmatter for better Dataview integration.Map connections between orphan notes using Obsidian Wikilinks.Create navigational Hub notes (MOCs) for complex research topics.

    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.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 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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    Security scanned

    Verified clean 9 days ago

    • Passed all security checks, Safe to install

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    What's inside

    Frequently Asked Questions