Generate complete JSON-LD schema markup for blog posts including BlogPosting, Person, Organization, BreadcrumbList, FAQPage, and ImageObject.

MITAuto-check passedMarketing & SEO

Install Blog Schema

skills CLI
$ npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill blog-schema -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Infrasity-Labs/dev-gtm-claude-skills blog-schema --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Infrasity-Labs/dev-gtm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/blog-schema .claude/skills/blog-schema && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
blog-schema
GitHub stars
136
Token cost
~2.1k tokens
SKILL.md length
639 words
Files
1
Skills in repo
26
Repo updated
First seen
Licence
MIT

At a glance

Generate complete JSON-LD schema markup for blog posts including BlogPosting, Person, Organization, BreadcrumbList, FAQPage, and ImageObject.

  • Works in 10 steps: Read Content → Generate BlogPosting Schema → Generate Person Schema → …
  • User says schema
  • Reaches twitter.com and linkedin.com
  • Structured data

What it does

Blog Schema is an agent skill from Infrasity-Labs/dev-gtm-claude-skills. Generate complete JSON-LD schema markup for blog posts including BlogPosting, Person, Organization, BreadcrumbList, FAQPage, and ImageObject. Validates against Google requirements and warns about deprecated types. Use when user says "schema", "blog schema", "json-ld", "structured data", "schema markup", "generate schema".

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering Schema markup. The repository describes itself as: Open-source Claude skills for GEO, AI discoverability, and developer GTM workflows. Built for developer-focused companies that want their documentation to be found, parsed, and… The licence is MIT.

When your agent uses it

  • User says schema
  • Structured data
  • Generate schema

Example prompts

  • “schema”
  • “blog schema”
  • “json-ld”
  • “/blog-schema”

Workflow steps

10 steps, taken from the step headings in SKILL.md.

  1. Read Content
  2. Generate BlogPosting Schema
  3. Generate Person Schema
  4. Generate Organization Schema
  5. Generate BreadcrumbList
  6. Generate FAQPage Schema
  7. Generate VideoObject (if videos present)
  8. 5: Generate ImageObject
  9. Validate & Warn
  10. Output

What it can do on your machine

Read from SKILL.md and the folder at commit 02cfefb. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json and html).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • twitter.com
    • linkedin.com
    • github.com
    • youtube.com
    • img.youtube.com
    • cdn.pixabay.com
    • schema.org

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Blog Schema loads about 2.1k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 639 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~84
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Infrasity-Labs/dev-gtm-claude-skills at commit 02cfefb, republished under its MIT licence (© Infrasity-Labs). 639 words, ~2,125 tokens.

Download SKILL.mdSave it as .claude/skills/blog-schema/SKILL.md (or your agent's skills folder).
name
blog-schema
description
Generate complete JSON-LD schema markup for blog posts including BlogPosting, Person, Organization, BreadcrumbList, FAQPage, and ImageObject. 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>

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 all required and recommended properties:

json
{
  "@type": "BlogPosting",
  "@id": "{siteUrl}/blog/{slug}#article",
  "headline": "Post title (max 110 chars)",
  "description": "Meta description (150-160 chars)",
  "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..."
}

Required properties: @type, headline, datePublished, author, publisher, image. 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: must be a valid image URL. Google recommends logos be 112x112px minimum, 600px wide maximum. Rectangular logos preferred for BlogPosting publishers.

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 Schema

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 answer text (40-60 words with statistic)."
      }
    }
  ]
}

Important note: Google restricted FAQ rich results to government and health sites since August 2023. However, FAQ schema markup still provides value because:

  • AI systems (ChatGPT, Perplexity, Gemini) extract FAQ data for citations
  • It structures content for future rich result eligibility changes
  • It improves content organization signals
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 VideoObject to the @graph array. Use #video-1, #video-2 etc. for the @id fragment. Extract video metadata from the embed's noscript fallback or from YouTube Data API if available via blog-google.

Step 7.5: Generate ImageObject

Cover image schema for the post's primary image:

json
{
  "@type": "ImageObject",
  "@id": "{siteUrl}/blog/{slug}#primaryimage",
  "url": "https://cdn.pixabay.com/photo/.../image.jpg",
  "width": 1200,
  "height": 630,
  "caption": "Descriptive caption matching alt text"
}

Image requirements:

  • URL must be crawlable and publicly accessible
  • Width and height should reflect actual image dimensions
  • Caption should match or closely align with the image alt text
  • Preferred dimensions: 1200x630 (OG-compatible) or 1920x1080
Show full SKILL.md (261 more words)Show less
Step 8: Validate & Warn

Check for deprecated schema types and apply validation rules:

NEVER use these deprecated types:

  • HowTo - Deprecated September 2023 (Google no longer shows rich results)
  • SpecialAnnouncement - Deprecated July 2025
  • Practice Problem - Deprecated (education markup)
  • Dataset - Deprecated for general use
  • Sitelinks Search Box - Deprecated
  • Q&A - Deprecated January 2026 (distinct from FAQPage)

Validation checks:

  1. All @id references resolve to entities within the @graph
  2. dateModified is equal to or after datePublished
  3. headline does not exceed 110 characters
  4. description is between 50-160 characters
  5. All URLs are absolute (not relative)
  6. Image dimensions are positive integers
  7. BreadcrumbList positions are sequential starting from 1
  8. FAQPage has at least 2 questions

AI citation optimization note: Pages using 3 or more schema types have approximately 13% higher AI citation likelihood. This skill generates up to 7 types (BlogPosting, Person, Organization, BreadcrumbList, FAQPage, ImageObject, VideoObject) to maximize both search engine understanding and AI extraction.

Step 9: Output

Combine all schemas into a single <script> tag using the @graph pattern:

html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    { "@type": "BlogPosting", ... },
    { "@type": "Person", ... },
    { "@type": "Organization", ... },
    { "@type": "BreadcrumbList", ... },
    { "@type": "FAQPage", ... },
    { "@type": "VideoObject", ... },
    { "@type": "ImageObject", ... }
  ]
}
</script>

@graph pattern benefits:

  • Single script tag instead of multiple - cleaner HTML
  • Entity linking via stable @id references (e.g., author references Person by @id)
  • Google and AI systems parse @graph arrays correctly
  • Easier to maintain and update as a single block

Output options:

  • Embedded HTML - Ready to paste into <head> or before </body>
  • Standalone JSON - For CMS schema fields or API injection
  • MDX component - If the project uses MDX, wrap in a component

Save the generated schema to the blog post file or to a separate schema file as the user prefers.

© Infrasity-Labs, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/blog-schema of Infrasity-Labs/dev-gtm-claude-skills.

Open the folder on GitHubat commit 02cfefb

Compare with similar skills

Blog Schema next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Blog Schema compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Blog Schema this skillInfrasity-Labs/dev-gtm-claude-skills136—~2.1kAutomated safety check: PassMIT
SEO GeoReScienceLab/opc-skills1.8k4 repos~2.1kAutomated safety check: PassApache-2.0
GEO-First SEO Audit Toolzubair-trabzada/geo-seo-claude11k—~2.8kAutomated safety check: NotesMIT
SEO Optimizerailabs-393/ai-labs-claude-skills4551 repos~3.2kAutomated safety check: PassMIT
Portaljs Add Dcatdatopian/portaljs2.4k1 repos~1.8kAutomated safety check: PassMIT
Schema Markupfreekmurze/dotfiles1k15 repos~1.2kAutomated safety check: PassNone

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Categories

Questions about Blog Schema

What does Blog Schema do?

Generate complete JSON-LD schema markup for blog posts including BlogPosting, Person, Organization, BreadcrumbList, FAQPage, and ImageObject. Blog Schema is an agent skill from Infrasity-Labs/dev-gtm-claude-skills. Generate complete JSON-LD schema markup for blog posts including BlogPosting, Person, Organization, BreadcrumbList, FAQPage, and ImageObject.

When should I use Blog Schema?

Blog Schema fits situations like: user says schema; structured data; generate schema.

How do I install Blog Schema in Claude Code?

Run `npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill blog-schema -a claude-code`. Or copy the skill folder (.claude/skills/blog-schema in Infrasity-Labs/dev-gtm-claude-skills) into .claude/skills/blog-schema in your project. Claude Code loads it when a task matches its description.

How do I install Blog Schema in Codex?

Run `npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill blog-schema -a codex`. Or copy the skill folder (.claude/skills/blog-schema in Infrasity-Labs/dev-gtm-claude-skills) into .agents/skills/blog-schema in your project. Codex loads it when a task matches its description.

Can I use Blog Schema in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill blog-schema -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/blog-schema, .gemini/skills/blog-schema, .github/skills/blog-schema and .opencode/skills/blog-schema in your project.

What does Blog Schema need to run?

SKILL.md names no scripts, command-line tools or credentials: Blog Schema is instructions for the agent only.

Does Blog Schema access the network?

SKILL.md names 7 domains. In commands or code: twitter.com, linkedin.com, github.com, youtube.com, img.youtube.com, cdn.pixabay.com and schema.org; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Blog Schema safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Blog Schema use?

Blog Schema is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Blog Schema use?

About 2.1k tokens (SKILL.md is roughly 8.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Blog Schema?

Skills that share tags, products or a category with Blog Schema: SEO Geo (ReScienceLab/opc-skills, 1.8k stars), GEO-First SEO Audit Tool (zubair-trabzada/geo-seo-claude, 11k stars), SEO Optimizer (ailabs-393/ai-labs-claude-skills, 455 stars) and Portaljs Add Dcat (datopian/portaljs, 2.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Blog Schema?

Infrasity-Labs (a GitHub user) maintains it in Infrasity-Labs/dev-gtm-claude-skills, which has 136 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on June 28, 2026.

Source: Infrasity-Labs/dev-gtm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.