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    Obsidian Knowledge Base Builder

    2

    Automate the ingestion, indexing, and maintenance of a dual-vault Obsidian knowledge base with strict traceability.

    $15

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    See it in action

    You say

    Start a session on my knowledge vault. Then ingest the NIST CSF 2.0 PDF I just saved to raw/standards/ as a standards page with confidentiality set to public.

    Your agent does

    A session summary showing vault page count, most recent activity, and open questions from the graph layer. Followed by a complete ingest manifest: wiki page written at wiki/standards/nist-csf-2-0.md with full frontmatter (title, type, issuer, version, domain, tags, source, confidentiality), index.md updated under the Standards section, log.md appended via CLI with timestamp and category, proposed edges to existing client pages displayed for confirmation, and a 10/10 quality gate pass confirmation.

    What you get

    Convert raw PDFs or web scrapes into structured Obsidian wiki pages.Maintain a dual-vault architecture with automated cross-linking.Auto-generate log entries and index updates for every new note.Enforce source traceability with frontmatter citations for all claims.Bootstrap new research sessions by summarizing recent vault activity.

    About this skill

    What it does

    Want to build your second brain? The Obsidian Knowledge Base Builder is a specialized skill for developers and researchers who use a Karpathy-style dual-vault architecture in Obsidian. It acts as an automated "Wiki Maintainer," handling the tedious bookkeeping of knowledge management. The skill ingests raw sources, scaffolds structured wiki pages with correct frontmatter, manages semantic edges (links), updates indexes, and maintains activity logs. These vault templates are designed for a cyber professional, but you can change the vault aspects however you want.

    Why use this skill

    While an AI can write a summary, it often fails at the structural requirements of a professional knowledge base. This skill ensures your vault remains a "source of truth" by enforcing strict rules: it keeps raw data immutable, generates consistent kebab-case slugs via CLI, and ensures every claim is traceable to a source. It eliminates the manual work of updating index.md and log.md every time you add a note, keeping your graph healthy and searchable.

    Supported tools

    • Obsidian: Optimized for dual-vault (Primary/Secondary) structures.
    • Python CLI: Integrates with research_wiki.py for slug generation and logging.
    • Frameworks: Version-agnostic support.
    • Metadata: Strict YAML frontmatter and Obsidian-style wikilinks.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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