Agent skill

Schema.org Markup Detector and Generator

by AgriciDaniel in AgriciDaniel/claude-seo

Detects, validates and generates Schema.org JSON-LD for a page, flagging deprecated or retired rich-result types using an actively updated status list.

MITAuto-check passedMarketing & SEO

Install Schema.org Markup Detector and Generator

skills CLI

$ npx skills add AgriciDaniel/claude-seo --skill seo-schema -a claude-code

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

GitHub CLI

$ gh skill install AgriciDaniel/claude-seo seo-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/AgriciDaniel/claude-seo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/seo-schema .claude/skills/seo-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/

Paste into Claude Code

Install the "seo-schema" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-schema into .claude/skills/seo-schema/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-schema", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-schema

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add AgriciDaniel/claude-seo --skill seo-schema -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install AgriciDaniel/claude-seo seo-schema --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/seo-schema .agents/skills/seo-schema && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "seo-schema" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-schema into .agents/skills/seo-schema/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-schema", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add AgriciDaniel/claude-seo --skill seo-schema -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install AgriciDaniel/claude-seo seo-schema --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/seo-schema .cursor/skills/seo-schema && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "seo-schema" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-schema into .cursor/skills/seo-schema/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-schema", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/AgriciDaniel/claude-seo.git --path skills/seo-schema

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add AgriciDaniel/claude-seo --skill seo-schema -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install AgriciDaniel/claude-seo seo-schema --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/seo-schema .gemini/skills/seo-schema && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "seo-schema" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-schema into .gemini/skills/seo-schema/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-schema", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install AgriciDaniel/claude-seo seo-schema

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add AgriciDaniel/claude-seo --skill seo-schema -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/seo-schema .github/skills/seo-schema && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "seo-schema" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-schema into .github/skills/seo-schema/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-schema", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add AgriciDaniel/claude-seo --skill seo-schema -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install AgriciDaniel/claude-seo seo-schema --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/seo-schema .opencode/skills/seo-schema && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "seo-schema" agent skill from https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-schema into .opencode/skills/seo-schema/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "seo-schema", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: seo-schema
GitHub stars: 19k
Token cost: ~1.8k tokens
SKILL.md length: 649 words
Files: 3 (incl. references)
Skills in repo: 33
Repo updated: Oct 4, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Detects, validates and generates Schema.org JSON-LD for a page, flagging deprecated or retired rich-result types using an actively updated status list.

Works in 4 steps: Extract JSON-LD with… → Check for Microdata (itemscope, itemprop) → Check for RDFa (typeof, property) → …
Checking whether a page's existing structured data is valid
SKILL.md covers Detection, Validation, Schema Type Status (as of June… and Generation, plus 3 more sections
Reaches schema.org

What it does

This skill extracts JSON-LD from a page's rendered HTML, flags any block missing @context or @type since Google cannot attach such a block to an entity, and checks for older Microdata and RDFa markup too, always recommending JSON-LD as the format to use going forward. Validation covers required properties per schema type, Google's supported rich-result types, and common errors such as invalid dates, relative URLs that should be absolute, and leftover placeholder text.

A dated schema type status list separates types that are active and safe to recommend, such as Organization, Product, Article and Event, from types with no rich-result benefit that can still be kept if useful, like FAQPage after Google retired its rich results for all sites, and from types that are fully deprecated and should never be recommended, such as HowTo and SpecialAnnouncement. A note on JavaScript-rendered structured data warns that dynamically generated Product markup can make Shopping crawls less frequent and reliable, so time-sensitive Product and Offer markup should ship in the initial server-rendered HTML.

Ready-to-use JSON-LD templates for the actively recommended types are provided in a separate templates file, and a references folder tracks types deprecated between 2024 and 2026.

When your agent uses it

Checking whether a page's existing structured data is valid
Generating new JSON-LD markup for a page or entity
Finding out whether a schema type still earns rich results in Google Search
Reviewing whether JavaScript-rendered product markup is safe to rely on

Example prompts

“Check this product page's JSON-LD for missing or invalid properties.”
“Generate Article and BreadcrumbList schema for this blog post.”
“Is FAQPage schema still worth keeping on our help pages?”
“Our Product markup is rendered client-side. Is that a problem for Shopping?”

Requirements

The bundled claude-seo CLI scripts

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

Extract JSON-LD with "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run parse_html.py --url --json
Check for Microdata (itemscope, itemprop)
Check for RDFa (typeof, property)
Always recommend JSON-LD as primary format (Google's stated preference)

What it can do on your machine

Read from SKILL.md and the folder at commit 4b99de2. 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).
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:
- 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

Schema.org Markup Detector and Generator loads about 1.8k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 39 tokens; SKILL.md has 649 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~39
When it runs · the whole SKILL.md, loaded when a task matches: ~1.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~3k

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 AgriciDaniel/claude-seo at commit 4b99de2, republished under its MIT licence (© AgriciDaniel). 649 words, ~1,767 tokens.

Download SKILL.mdSave it as .claude/skills/seo-schema/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.

name: seo-schema
description: Detect, validate, or generate Schema.org JSON-LD for a supplied page or entity. Use only when structured data or rich-result markup is requested.
user-invocable: true
argument-hint: [url]
license: MIT
metadata.author: AgriciDaniel
metadata.version: 2.4.2
metadata.category: seo

Schema Markup Analysis & Generation

Detection

Extract JSON-LD with "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run parse_html.py --url <url> --json (or scan <script type="application/ld+json"> in the page source). Flag any block without @context or @type: Google cannot attach it to an entity (a rating in such a block does not reach the Product).
Check for Microdata (itemscope, itemprop)
Check for RDFa (typeof, property)
Always recommend JSON-LD as primary format (Google's stated preference)

Validation

Check required properties per schema type
Validate against Google's supported rich result types
Test for common errors:
- Missing @context
- Invalid @type
- Wrong data types
- Placeholder text
- Relative URLs (should be absolute)
- Invalid date formats
Flag deprecated types (see below)

Schema Type Status (as of June 2026)

Read ../seo/references/schema-types.md for the full list. Key rules:

Organization, LocalBusiness, SoftwareApplication, WebApplication, Product (with Certification markup as of April 2025), ProductGroup, Offer, Service, Article, BlogPosting, NewsArticle, Review, AggregateRating, BreadcrumbList, WebSite, WebPage, Person, ProfilePage, ContactPage, VideoObject, ImageObject, Event, JobPosting, Course, DiscussionForumPosting

BroadcastEvent, Clip, SeekToAction, SoftwareSourceCode

See schema/templates.json for ready-to-use JSON-LD templates for these types.

JSON-LD and JavaScript rendering: Google supports structured data generated with JavaScript, but its "Generate structured data with JavaScript" guide (last updated 2025-12-10) warns that dynamically generated Product markup can make Shopping crawls less frequent and less reliable for fast-changing price and availability. For time-sensitive markup (especially Product, Offer), include JSON-LD in the initial server-rendered HTML.

NO RICH RESULTS, KEEP IF USEFUL:

FAQPage: Google retired FAQ rich results for ALL sites on May 7, 2026 (supersedes the Aug 2023 gov/health restriction). No Google SERP rich-result benefit; flag existing FAQPage at Info (not Critical) rather than removal. For genuine user Q&A pages, use QAPage.

HowTo: Rich results removed September 2023
SpecialAnnouncement: Deprecated July 31, 2025
CourseInfo, EstimatedSalary, LearningVideo: Retired June 2025
ClaimReview: No Search rich result since June 2025. Google's Fact Check Explorer still uses the markup, so fact-checking publishers may keep it; never recommend it for SERP features
VehicleListing: Retired from rich results June 2025
Practice Problem: Deprecation notice 2025-11-05; tooling support removed starting January 2026; documentation removed 2026-01-06
Search Console / Rich Results Test / appearance-filter support for CourseInfo, ClaimReview, EstimatedSalary, LearningVideo, SpecialAnnouncement, VehicleListing was removed 2025-09-09 (Search Console API through December 2025).

Still supported (despite earlier phase-out notices):

Book Actions: NOT deprecated. The June 2025 phase-out banner was removed on 2025-11-05 because a Search feature still uses the markup.

Show full SKILL.md (251 more words)Show less

Supported for Dataset Search only:

Dataset: Not discontinued; consumed by Google Dataset Search, with no Google Search rich-result surface. Don't advise removal as if it were killed.

Still supported (do not flag):

QAPage (expanded comment-thread properties 2026-03-24), DiscussionForumPosting, Education Q&A (Quiz / eduQuestionType=Flashcard). For e-commerce, hasAdultConsideration (added 2026-05-20; value https://schema.org/SexualContentConsideration) is required for adult products. Product.category accepts Text, CategoryCode, or arrays mixing both.

Generation

When generating schema for a page:

Identify page type from content analysis
Select appropriate schema type(s)
Generate valid JSON-LD with all required + recommended properties
Include only truthful, verifiable data. Use placeholders clearly marked for user to fill
Validate output before presenting
For review markup, reject fake reviews and undisclosed incentivized reviews. An incentive must be clearly and prominently disclosed on the page.

Common Schema Templates

Organization

json

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "[Company Name]",
  "url": "[Website URL]",
  "logo": "[Logo URL]",
  "contactPoint": {
    "@type": "ContactPoint",
    "telephone": "[Phone]",
    "contactType": "customer service"
  },
  "sameAs": [
    "[Facebook URL]",
    "[LinkedIn URL]",
    "[Twitter URL]"
  ]
}

LocalBusiness

json

{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "[Business Name]",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "[Street]",
    "addressLocality": "[City]",
    "addressRegion": "[State]",
    "postalCode": "[ZIP]",
    "addressCountry": "US"
  },
  "telephone": "[Phone]",
  "openingHours": "Mo-Fr 09:00-17:00",
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": "[Lat]",
    "longitude": "[Long]"
  }
}

Article/BlogPosting

json

{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "[Title]",
  "author": {
    "@type": "Person",
    "name": "[Author Name]"
  },
  "datePublished": "[YYYY-MM-DD]",
  "dateModified": "[YYYY-MM-DD]",
  "image": "[Image URL]",
  "publisher": {
    "@type": "Organization",
    "name": "[Publisher]",
    "logo": {
      "@type": "ImageObject",
      "url": "[Logo URL]"
    }
  }
}

Output

SCHEMA-REPORT.md: detection and validation results
generated-schema.json: ready-to-use JSON-LD snippets

Validation Results

Schema	Type	Status	Issues
...	...	✅/⚠️/❌	...

Recommendations

Missing schema opportunities
Validation fixes needed
Generated code for implementation

Error Handling

Scenario	Action
URL unreachable	Report connection error with status code. Suggest verifying URL and checking if the page requires authentication.
No schema markup found	Report that no JSON-LD, Microdata, or RDFa was detected. Recommend appropriate schema types based on page content analysis.
Invalid JSON-LD syntax	Parse and report specific syntax errors (missing brackets, trailing commas, unquoted keys). Provide corrected JSON-LD output.
Deprecated schema type detected	Flag the deprecated type with its retirement date. Recommend the current replacement type or advise removal if no replacement exists.

Files

SKILL.md and 2 other files (references) in skills/seo-schema of AgriciDaniel/claude-seo.

SKILL.md
LICENSE.txt
references/deprecated-types-2024-2026.md

Open the folder on GitHubat commit 4b99de2

Compare with similar skills

Schema.org Markup Detector and Generator 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.

Schema.org Markup Detector and Generator compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Schema.org Markup Detector and Generator this skillAgriciDaniel/claude-seo	19k	—	~1.8k	Automated safety check: Pass	MIT	4 days ago
Product Page SEOadobe/skills	197	—	~2.8k	Automated safety check: Pass	Apache-2.0	today
SEO Technicalrampstackco/claude-skills	941	—	~1.8k	Automated safety check: Pass	MIT	2 days ago
Technical SEOindranilbanerjee/digital-marketing-pro	859	1 repos	~5.9k	Automated safety check: Notes	MIT	5 days ago
Meowhub Browserzhaojiaqi/MeowHub	111	—	~1.6k	Automated safety check: Pass	GPL-3.0	4 mo ago
Agent Readiness Auditindranilbanerjee/digital-marketing-pro	859	1 repos	~3.9k	Automated safety check: Pass	MIT	5 days ago

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Questions about Schema.org Markup Detector and Generator

What does Schema.org Markup Detector and Generator do?

Detects, validates and generates Schema.org JSON-LD for a page, flagging deprecated or retired rich-result types using an actively updated status list. This skill extracts JSON-LD from a page's rendered HTML, flags any block missing @context or @type since Google cannot attach such a block to an entity, and checks for older Microdata and RDFa markup too, always recommending JSON-LD as the format to use going forward. Validation covers required properties per schema type, Google's supported rich-result types, and common errors such as invalid dates, relative URLs that should be absolute, and leftover placeholder text.

When should I use Schema.org Markup Detector and Generator?

Schema.org Markup Detector and Generator fits situations like: checking whether a page's existing structured data is valid; generating new JSON-LD markup for a page or entity; finding out whether a schema type still earns rich results in Google Search; reviewing whether JavaScript-rendered product markup is safe to rely on.

How do I install Schema.org Markup Detector and Generator in Claude Code?

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

How do I install Schema.org Markup Detector and Generator in Codex?

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

Can I use Schema.org Markup Detector and Generator 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 AgriciDaniel/claude-seo --skill seo-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/seo-schema, .gemini/skills/seo-schema, .github/skills/seo-schema and .opencode/skills/seo-schema in your project.

What does Schema.org Markup Detector and Generator need to run?

SKILL.md names no scripts, command-line tools or credentials: Schema.org Markup Detector and Generator is instructions for the agent only. Our summary lists: The bundled claude-seo CLI scripts.

Does Schema.org Markup Detector and Generator access the network?

SKILL.md names 1 domain. In commands or code: schema.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Schema.org Markup Detector and Generator 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 Schema.org Markup Detector and Generator use?

Schema.org Markup Detector and Generator is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Schema.org Markup Detector and Generator use?

About 1.8k tokens (SKILL.md is roughly 7.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.3k tokens, read only when the agent opens those files.

What are the alternatives to Schema.org Markup Detector and Generator?

Skills that share tags, products or a category with Schema.org Markup Detector and Generator: Product Page SEO (adobe/skills, 197 stars), SEO Technical (rampstackco/claude-skills, 941 stars), Technical SEO (indranilbanerjee/digital-marketing-pro, 859 stars) and Meowhub Browser (zhaojiaqi/MeowHub, 111 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Schema.org Markup Detector and Generator?

AgriciDaniel (a GitHub user) maintains it in AgriciDaniel/claude-seo, which has 18,574 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 4, 2026.

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

Install Schema.org Markup Detector and Generator

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Schema Markup Analysis & Generation

Detection

Validation

Schema Type Status (as of June 2026)

ACTIVE (recommend freely):

VIDEO & SPECIALIZED (recommend freely):

NO RICH RESULTS, KEEP IF USEFUL:

DEPRECATED (never recommend):

Still supported (despite earlier phase-out notices):

Supported for Dataset Search only:

Still supported (do not flag):

Generation

Common Schema Templates

Organization

LocalBusiness

Article/BlogPosting

Output

Validation Results

Recommendations

Error Handling

Files

Compare with similar skills

Similar skills

More from AgriciDaniel/claude-seo

Related

Questions about Schema.org Markup Detector and Generator