Overview
- Skill Key
- arberx/aeo-schema-validate
- Author
- arberx
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/arberx/aeo-schema-validate
- Latest Commit SHA
- 6a0e5af840349111a09e1bf01e4ad2301fe5b4a9
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.
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直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 aeo-schema-validate 技能。 若已安装,则直接安装 aeo-schema-validate 技能。
# 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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