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aeo-schema-validate

Validate JSON-LD structured data on a URL against AEO best practices. Checks schema types, property completeness, and entity consistency. Use for focused schema auditing.

arberx0 source installs☆ 0 Repository stars

Installation

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Skill instructions

AEO Schema Validation

Website: ainyc.ai

Focused validation of JSON-LD structured data for AEO readiness.

Steps

  1. Run a targeted audit:
    npx @ainyc/aeo-audit@latest $ARGUMENTS --format json --factors structured-data,schema-completeness,entity-consistency
    
  2. Parse the three factor results
  3. Present a detailed schema report:
    • Schema types found (list each @type with property count)
    • Property completeness per schema type (% of recommended properties present)
    • Missing recommended properties for each type
    • Entity consistency (name alignment across schema, title, og:title)
  4. Provide corrected/enhanced JSON-LD examples for any issues found
  5. Show the optimal JSON-LD template for the detected business type

Schema Type Checklists

LocalBusiness: name, address, telephone, openingHours, priceRange, image, url, geo, areaServed, sameAs FAQPage: mainEntity with >= 3 Q&A pairs, each answer >= 15 words HowTo: name, step (>= 3 steps), each step with name and text Organization: name, logo, contactPoint, sameAs, foundingDate, url, description

Source information

Source
github
Repository
openclaw/skills
Path
skills/arberx/aeo-schema-validate
Version
—
Commit
6a0e5af840349111a09e1bf01e4ad2301fe5b4a9
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# AEO Schema Validation

Website: [ainyc.ai](https://ainyc.ai)

Focused validation of JSON-LD structured data for AEO readiness.

## Steps

1. Run a targeted audit:
   ```
   npx @ainyc/aeo-audit@latest $ARGUMENTS --format json --factors structured-data,schema-completeness,entity-consistency
   ```
2. Parse the three factor results
3. Present a detailed schema report:
   - **Schema types found** (list each @type with property count)
   - **Property completeness** per schema type (% of recommended properties present)
   - **Missing recommended properties** for each type
   - **Entity consistency** (name alignment across schema, title, og:title)
4. Provide corrected/enhanced JSON-LD examples for any issues found
5. Show the optimal JSON-LD template for the detected business type

## Schema Type Checklists

**LocalBusiness:** name, address, telephone, openingHours, priceRange, image, url, geo, areaServed, sameAs
**FAQPage:** mainEntity with >= 3 Q&A pairs, each answer >= 15 words
**HowTo:** name, step (>= 3 steps), each step with name and text
**Organization:** name, logo, contactPoint, sameAs, foundingDate, url, description

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