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    AEO Entity & Knowledge Graph Architect

    2

    Wikidata-grounded JSON-LD & Knowledge Graph architect. Resolves authoritative QIDs, wires connected @graph schemas, and audits Google Search Gallery compliance across any web stack.

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    AEO Entity & Knowledge Graph Architect

    AEO Entity & Knowledge Graph Architect

    Example session with this skill installed

    Disambiguate the entities and compile a Google Search Gallery-compliant Schema.org @graph for our production architectural guide: 'Zero-Downtime Distributed Database Migration Patterns'. Include Wikidata QID anchoring, sameAs triangulation, and Next.js App Router component delivery.

    • Read your context and instructions
    • Compiled the aeo entity
    • Generated the UI component

    1. Wikidata QID Disambiguation & Entity Polarity Graph

    Graph RoleTarget EntityVerified QIDP31 / Schema.org TypeDisambiguation & Triangulation URIs
    about (Primary)PostgreSQLQ192490 (1.00)SoftwareApplicationwikidata.org/wiki/Q192490, en.wikipedia.org/wiki/PostgreSQL, postgresql.org
    about (Primary)Database migrationQ1189073 (0.98)TechArticle / Topicwikidata.org/wiki/Q1189073, en.wikipedia.org/wiki/Data_migration
    mentionsWrite-ahead loggingQ2842663 (0.92)Intangible / Conceptwikidata.org/wiki/Q2842663, en.wikipedia.org/wiki/Write-ahead_logging
    mentionsHigh availabilityQ373972 (0.95)Intangible / Systemwikidata.org/wiki/Q373972, en.wikipedia.org/wiki/High_availability

    2. Google Search Gallery Compliance Audit (Score: 100/100)

    @id Node Referential Integrity: PASS (#organization → #website → #breadcrumb → #article connected tree).

    • Entity Isolation: Human author (Person) strictly isolated from corporate publisher (Organization).
    • Date Serialization: Strict ISO-8601 with UTC offset (2026-10-29T14:30:00Z).
    • Rich Result Verification: Validated against Google Search Gallery Technical Article specifications (0 warnings).

    3. Production Next.js App Router Component (components/ArticleSchema.tsx)

    import Script from "next/script";

export function ArticleJsonLd({ graph }: { graph: Record<string, unknown> }) {
  return (
    <script
      type="application/ld+json"
      dangerouslySetInnerHTML={{
        __html: JSON.stringify(graph).replace(/</g, "\\u003c"),
      }}
    />
  );
}

    ArticleSchema.tsx

    TSX · React component

    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.

    About this skill

    Eliminate Entity Homonym Collisions in Google & AI Answer Engines

    Unanchored JSON-LD strings force search engines and LLM retrieval pipelines to guess which real-world concept your page discusses—causing homonym collisions (Linear issue tracker vs. linear algebra, Mercury banking vs. the planet) and disconnected schema blobs that fail Rich Result checks.

    AEO Entity & Knowledge Graph Architect equips your AI coding or SEO agent with a Live Wikidata QID Disambiguator and a deterministic Google Search Gallery @graph Compliance Validator—running out-of-the-box with zero API keys.

    How the 5-Phase Engine Works

    1. Entity Polarity Classification (about vs. mentions): Separates the 1–2 primary thesis entities your URL aims to rank for (about) from supporting contextual entities (mentions), while strictly isolating Organization (#organization) from human Person (#author) identities.
    2. Context-Scored Wikidata QID Grounding (--resolve): Queries the public Wikidata API (wbsearchentities + wbgetentities), applies homonym trap penalties (surname, disambiguation page, context-mismatch dampening), maps P31 claims to Schema.org types, and triangulates sameAs across Wikidata, English Wikipedia, and official websites (P856).
    3. Connected @graph Topology Synthesis: Wires a single consolidated @graph linking Organization, WebSite, BreadcrumbList, Person, and your primary leaf node (TechArticle, Article, SoftwareApplication, Product, or Event) via deterministic @id anchors.
    4. Search Gallery & Post-2023 Anti-Spam Gate (--validate-json): Deterministically audits @id referential integrity, Organization.logo, ISO-8601 timezone offsets, visible-copy parity on FAQPage nodes, and blocks fabricated Event price: 0 offers before code ever touches production.
    5. Stack-Native XSS-Safe Delivery: Outputs \u003c-escaped JSON-LD components tailored for Next.js App Router, Astro, Remix, Shopify Liquid, or static HTML.

    Requirements & Limitations

    • Requires Python 3.9+ (100% standard library; zero pip packages) and outbound HTTPS access to www.wikidata.org for live --resolve lookups (--validate-json runs 100% offline).

    Live --resolve lookups require outbound HTTPS access to www.wikidata.org (the --validate-json compliance gate runs 100% offline). Niche proprietary concepts without Wikidata entries are anchored via official specification URLs rather than fabricated QIDs.

    Open docs

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Requires

    Wikidata
    python3
    Python

    Permissions

    Terminal / Shell
    Network Access
    Read Files
    Write Files

    Allowed Hosts

    www.wikidata.org

    Runs a pure-stdlib Python 3 helper (zero pip packages, zero API keys). Queries public www.wikidata.org endpoints only during --resolve; --validate-json runs 100% offline.

    Listed8 days ago

    What's inside

    Frequently Asked Questions

    No. Live entity disambiguation queries the public Wikidata API directly using Python's standard library (zero API keys, zero pip packages), and the @graph compliance validator runs 100% offline.

    No—zero CMS lock-in. It outputs framework-native, XSS-escaped JSON-LD ready for Next.js App Router, Astro, Remix, Shopify Liquid, Webflow, or static HTML.

    The bundled resolver scores Wikidata candidates against your page's domain context, penalizes surname and disambiguation-page traps, and rejects low-confidence matches rather than fabricating QIDs.

    It flags severed single-node blobs, dangling @id pointers, missing Organization logos or BreadcrumbLists, conflated author/company social links, hidden FAQPage text mismatches, and fake price:0 Event offers.

    New in Marketing & SEO