Blog SchemaSAFE

Claude Code blog skill suite: 30 sub-skills, 5 agents, 5-gate v1.9.0 Blog Delivery Contract, dual-optimized for Google rankings and AI citations. Active development at AI-Marketing-Hub/claude-blog (AI Marketing Hub Pro community); public releases ship here.

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: blog-schema
description: >
  Generate complete JSON-LD schema markup for blog posts with Article/BlogPosting,
  Person, Organization, BreadcrumbList, ImageObject, and optional FAQPage. Validates
  against Google requirements and warns about deprecated types. Use when user
  says "schema", "blog schema", "json-ld", "structured data", "schema markup",
  "generate schema".
user-invokable: true
argument-hint: "<file-path>"
license: MIT
---

# Blog Schema: JSON-LD Structured Data Generation

Generates complete, validated JSON-LD schema markup for blog posts using the
@graph pattern. Combines multiple schema types into a single script tag with
stable @id references for entity linking.

## Workflow

### Step 1: Read Content

Read the blog post and extract all schema-relevant data:
- **Title** (headline)
- **Author** (name, job title, social links, credentials)
- **Dates** (datePublished, dateModified / lastUpdated)
- **Description** (meta description)
- **FAQ section** (question and answer pairs)
- **Images** (cover image URL, dimensions, alt text; inline images)
- **Organization info** (site name, URL, logo)
- **Word count** (approximate from content length)
- **Tags/categories** (for BreadcrumbList category)
- **Slug** (from filename or frontmatter)

### Step 2: Generate BlogPosting Schema

Complete BlogPosting with recommended properties when applicable:

```json
{
  "@type": "BlogPosting",
  "@id": "{siteUrl}/blog/{slug}#article",
  "headline": "Concise post title",
  "description": "Concise page-specific meta description",
  "datePublished": "YYYY-MM-DD",
  "dateModified": "YYYY-MM-DD",
  "author": { "@id": "{siteUrl}/author/{author-slug}#person" },
  "publisher": { "@id": "{siteUrl}#organization" },
  "image": { "@id": "{siteUrl}/blog/{slug}#primaryimage" },
  "mainEntityOfPage": {
    "@type": "WebPage",
    "@id": "{siteUrl}/blog/{slug}"
  },
  "wordCount": 2400,
  "articleBody": "First 200 characters of content as excerpt..."
}
```

Google's Article structured data docs do not define required Article
properties. Include `headline`, `datePublished`, `author`, `publisher`, and
`image` when applicable, validate with the Rich Results Test, and treat missing
fields as warnings unless the target surface requires them. Recommended
properties: description, dateModified, mainEntityOfPage, wordCount, articleBody
(excerpt).

### Step 3: Generate Person Schema

Author schema with stable @id for cross-referencing:

```json
{
  "@type": "Person",
  "@id": "{siteUrl}/author/{author-slug}#person",
  "name": "Author Name",
  "jobTitle": "Role or Title",
  "url": "{siteUrl}/author/{author-slug}",
  "sameAs": [
    "https://twitter.com/handle",
    "https://linkedin.com/in/handle",
    "https://github.com/handle"
  ]
}
```

Optional properties (include when available):
- `alumniOf` - Educational institution (Organization type)
- `worksFor` - Employer (reference to Organization @id if same entity)

### Step 4: Generate Organization Schema

Blog's parent organization entity:

```json
{
  "@type": "Organization",
  "@id": "{siteUrl}#organization",
  "name": "Organization Name",
  "url": "{siteUrl}",
  "logo": {
    "@type": "ImageObject",
    "url": "{siteUrl}/logo.png",
    "width": 600,
    "height": 60
  },
  "sameAs": [
    "https://twitter.com/org",
    "https://linkedin.com/company/org",
    "https://github.com/org"
  ]
}
```

Logo requirements: use a valid crawlable image URL and follow the active
Organization and Article documentation for the target surface. Do not invent
hard logo dimensions unless the project or current docs require them.

### Step 5: Generate BreadcrumbList

Navigation breadcrumb schema showing content hierarchy:

```json
{
  "@type": "BreadcrumbList",
  "@id": "{siteUrl}/blog/{slug}#breadcrumb",
  "itemListElement": [
    {
      "@type": "ListItem",
      "position": 1,
      "name": "Home",
      "item": "{siteUrl}"
    },
    {
      "@type": "ListItem",
      "position": 2,
      "name": "Category Name",
      "item": "{siteUrl}/blog/category/{category-slug}"
    },
    {
      "@type": "ListItem",
      "position": 3,
      "name": "Post Title",
      "item": "{siteUrl}/blog/{slug}"
    }
  ]
}
```

If no category is available, use "Blog" as the second breadcrumb item with
`{siteUrl}/blog` as the URL.

### Step 6: Generate FAQPage Entity Schema (Optional)

Extract Q&A pairs from the blog post's FAQ section:

```json
{
  "@type": "FAQPage",
  "@id": "{siteUrl}/blog/{slug}#faq",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is the question?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "The complete visible answer text."
      }
    }
  ]
}
```

Google retired FAQ rich results for all sites on 2026-05-07. FAQPage is not a
Google rich-result or generative-AI optimization path, and it earns no SEO or
AI-readiness credit. Only emit it when a visible FAQ genuinely helps readers,
with at least one valid `Question` and matching visible answer. Do not pad an
answer to a target length or add an FAQ solely for markup.

Do not substitute QAPage. Google supports QAPage for a page focused on one
question where users can submit answers. Editorial FAQs, support FAQs, and blog
Q&A sections do not meet that model.

### Step 7: Generate VideoObject (if videos present)

For each YouTube video embedded in the post, generate a VideoObject schema:

```json
{
  "@type": "VideoObject",
  "@id": "{siteUrl}/blog/{slug}#video-{index}",
  "name": "Video title",
  "description": "Video description excerpt (first 200 chars)",
  "thumbnailUrl": "https://img.youtube.com/vi/{videoId}/hqdefault.jpg",
  "uploadDate": "{ISO 8601 date}",
  "contentUrl": "https://www.youtube.com/watch?v={videoId}",
  "embedUrl": "https://www.youtube.com/embed/{videoId}",
  "duration": "PT{M}M{S}S",
  "interactionStatistic": {
    "@type": "InteractionCounter",
    "interactionType": { "@type": "WatchAction" },
    "userInteractionCount": {viewCount}
  }
}
```

Add each 

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

What the source does

Filesystem

none-observed

Network

none-observed

Shell

none-observed

Dependencies

pinned

Secrets in source

none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.