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    Local Seo Knowledge OS

    2

    Turns fragmented SEO audits and keyword research into a structured markdown knowledge vault for agencies.

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    See it in action

    You say

    Generate a full client SEO vault for a San Diego plumbing company. Use my notes on their current site structure and a list of 20 keywords I've provided. Identify missing analytics data.

    Your agent does

    Vault Plan Ready: 'San Diego Plumber' Structure:

    • /sources/ledger.md (Includes: Keyword list)
    • /audits/technical.md (Missing: Search Console access)
    • /strategy/keyword-map.md (Topics: Emergency Repair, Slab Leaks)
    • /execution/plan.md (Priority: Fix Schema errors) Receipt: Status NEEDS_DATA.

    What you get

    Structure client data into a persistent markdown knowledge base.Map keyword opportunities to specific topic clusters and content briefs.Audit schema observed findings against recommended technical checks.Track missing data sources and assumptions in a standardized receipt.

    About this skill

    The problem

    SEO strategy often lives in scattered spreadsheets, chat threads, and tool exports, leading to stale assumptions and fragmented execution. Agencies struggle to maintain a "single source of truth" that separates verified crawl data from speculative strategy notes.

    What it does

    • Builds a structured markdown knowledge vault for client SEO data and research.
    • Categorizes findings into source ledgers, assumption registers, and execution plans.
    • Maps keyword opportunities to topic clusters and content roadmaps.
    • Generates technical audit notes, schema checklists, and priority-based action items.
    • Produces a standardized SEO knowledge receipt to track missing data and blockers.

    Why this beats prompting it yourself

    Generic prompts result in shallow advice and hallucinated metrics. This skill enforces a strict information architecture that separates source-backed findings from assumptions, ensuring your SEO strategy is grounded in evidence rather than AI guesswork.

    Use cases

    • Creating a unified "Starter Vault" for a new local service client.
    • Building a topic cluster map from raw keyword research exports.
    • Generating a technical schema audit workspace for developer handoff.
    • Organizing client intake notes into a prioritized SEO execution plan.

    Known limitations

    This skill does not autonomously access APIs like Search Console or Ahrefs. It cannot publish content or edit code directly and requires human review to validate all recommendations.

    How to install

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

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