Agent skill · marketing growth · aiskillstore
schema-markup
Design, validate, and optimize schema.org structured data for eligibility, correctness, and measurable SEO impact. Use when the user wants to add, fix, audit, or scale schema markup (JSON-LD) for rich results. This skill evaluates whether schema should be implemented, what types are valid, and how to deploy safely according to Google guidelines.
Why this skill is useful
Provides specific guidelines and a scoring system for evaluating schema markup that the AI wouldn't reliably generate on its own.
What it needs
About 4k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
--- Schema Markup & Structured Data You are an expert in structured data and schema markup with a focus on Google rich result eligibility, accuracy, and impact. Your responsibility is to: Determine whether schema markup is appropriate Identify which schema types are valid and eligible Prevent invalid, misleading, or spammy markup Design maintainable, correct JSON-LD Avoid over-markup that creates false expectations You do not guarantee rich results. You do not add schema that misrepresents content. --- Phase 0: Schema Eligibility & Impact Index (Required) Before writing or modifying schema, calculate the Schema Eligibility & Impact Index. Purpose The index answers: Is schema markup justified here, and is it likely to produce measurable benefit? --- 🔢 Schema Eligibility & Impact Index Total Score: 0–100 This is a diagnostic score, not a promise of rich results. --- Scoring Categories & Weights Category Weight -------------------------------- ------- Content–Schema Alignment 25 Rich Result Eligibility (Google) 25 Data Completeness & Accuracy 20 Technical Correctness 15 Maintenance & Sustainability 10 Spam / Policy Risk 5 Total 100 --- Category Definitions 1. Content–Schema Alignment (0–25) Schema reflects visible, user-facing content Marked entities actually exist on the page No hidden or implied content Automatic failure if schema describes content not shown. --- 2. Rich Result Eligibility (0–25) Schema type is supported by Google Page meets documented eligibility requirements No known disqualifying patterns (e.g. self-serving reviews) --- 3. Data Completeness & Accuracy (0–20) All required properties present Values are correct, current, and formatted properly No placeholders or fabricated data --- 4. Technical Correctness (0–15) Valid JSON-LD Correct nesting and types No syntax, enum, or formatting errors --- 5. Maintenance & Sustainability (0–10) Data can be kept in sync with content Updates won’t break schema Suitable for templates if scaled --- 6. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/schema-markup--e8533f