entity-optimizer

Audit entity signals and generate canonical profiles with sameAs links.

Updated Apr 10, 2026
One-click install
npx skills add https://github.com/Kosmio/skeleton-test --skill entity-optimizer-kosmio
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: entity-optimizer
Source: https://github.com/Kosmio/skeleton-test/tree/main/.claude/skills/seo/seo-skills/cross-cutting/entity-optimizer
Command: npx skills add https://github.com/Kosmio/skeleton-test --skill entity-optimizer-kosmio

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Entity optimization centralizes and harmonizes brand and organizational identity signals across Knowledge Graphs, Wikidata, Wikipedia, and AI resolution systems to improve recognition and citations.

Core Features & Use Cases

  • Discovery and auditing of entity signals across knowledge graphs, schemas, and external profiles
  • Creation of canonical entity profiles with sameAs links, NAP+E consistency, and disambiguation notes
  • Use cases include establishing a new brand as a recognized entity, auditing existing identity, and resolving confusions across platforms

Quick Start

Audit an entity's current signals and generate a canonical entity profile with a concrete action plan

Frequently Asked Questions about entity-optimizer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize entity signals across knowledge graphs and AI resolution systems?

Entity optimization audits and harmonizes brand identity signals across knowledge graphs, Wikidata, and AI systems to improve recognition. It creates canonical entity profiles with sameAs links and cross-platform consistency for brands, organizations, and individuals.

What is entity disambiguation and when do I need it for schema.org markup?

Entity disambiguation resolves identity confusions across platforms by creating canonical profiles with sameAs signals and NAP+E consistency. You need it when establishing a new brand as a recognized entity or auditing existing identity to prevent cross-platform mismatches.

How do I audit my brand's entity identity across Wikidata and knowledge graphs?

Auditing entity identity involves discovering and reviewing entity signals across knowledge graphs, schema.org markup, and external profiles. The process outputs a canonical entity profile with disambiguation notes and a prioritized action plan to resolve inconsistencies.

Can I use entity optimization to establish a new brand as a recognized entity?

Yes, entity optimization establishes new brands by centralizing identity signals across knowledge graphs, Wikidata, and AI resolution systems. It requires access to on-site schema.org markup and external knowledge bases to generate canonical profiles with sameAs links.

What's the best way to fix entity resolution confusions across multiple platforms?

The best way to fix entity resolution confusions is auditing identity signals across platforms and generating a canonical entity profile. This profile includes sameAs links, NAP+E consistency, disambiguation notes, and a prioritized action plan for cross-platform alignment.

Do I need on-site schema.org markup to perform an entity audit?

Yes, on-site schema.org markup is required to perform an entity audit. The optimization process requires access to on-site schema.org markup and external knowledge bases to output canonical entity profiles and a prioritized action plan.