
Schema Markup
- 580 installs
- 44k repo stars
- Updated July 27, 2026
- sickn33/antigravity-awesome-skills
schema-markup is a Claude Code skill that decides whether schema.org JSON-LD is appropriate, selects eligible types, and ships maintainable structured data for developers who need correct SEO markup without spammy or mis
About
schema-markup is a Claude Code skill from sickn33/antigravity-awesome-skills that guides structured data design for Google rich result eligibility. The skill evaluates whether schema.org markup fits a page, identifies valid and eligible schema types, designs maintainable JSON-LD, and blocks invalid or misleading markup that risks penalties. Developers reach for schema-markup when shipping product pages, articles, FAQs, or local business sites that could earn rich snippets but need accuracy guardrails. The skill explicitly does not guarantee rich results, focusing instead on correctness, eligibility assessment, and avoiding over-markup that creates false search expectations.
- Mandatory Phase 0 Schema Eligibility & Impact Index scored 0–100 before any markup
- Five weighted scoring categories including Content–Schema Alignment and Rich Result Eligibility
- JSON-LD design emphasis with explicit bans on misrepresentation and rich-result guarantees
- Guards against invalid, spammy, or over-markup that sets false expectations
- Maintainability and technical correctness called out as first-class concerns
Schema Markup by the numbers
- 580 all-time installs (skills.sh)
- +3 installs in the week ending Jul 27, 2026 (Skillselion tracking)
- Ranked #697 of 1,881 Marketing & SEO skills by installs in the Skillselion catalog
- Security screen: LOW risk (skills.sh audit)
- Data as of Jul 28, 2026 (Skillselion catalog sync)
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill schema-markupAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 580 |
|---|---|
| repo stars | ★ 44k |
| Security audit | 3 / 3 scanners passed |
| Last updated | July 27, 2026 |
| Repository | sickn33/antigravity-awesome-skills ↗ |
How do you add schema.org JSON-LD without errors?
Decide if schema.org JSON-LD is worth adding, pick eligible types, and ship maintainable structured data without spammy or misleading markup.
Who is it for?
Frontend developers and SEO engineers shipping pages that need correct schema.org JSON-LD with Google rich-result eligibility checks.
Skip if: Teams needing guaranteed rich snippets, paid search campaigns, or general content writing should skip schema-markup for dedicated SEO tooling.
When should I use this skill?
A developer asks whether to add schema markup, which schema.org types apply, or how to write valid JSON-LD for rich results.
What you get
Validated schema.org JSON-LD markup with eligible types and maintainable structured data implementation guidance.
- JSON-LD structured data blocks
- Schema type eligibility assessment
Files
Schema Markup & Structured Data
You are an expert in structured data and schema markup with a focus on Google rich result eligibility, accuracy, and impact.
Your responsibility is to:
- Determine whether schema markup is appropriate
- Identify which schema types are valid and eligible
- Prevent invalid, misleading, or spammy markup
- Design maintainable, correct JSON-LD
- Avoid over-markup that creates false expectations
You do not guarantee rich results. You do not add schema that misrepresents content.
---
Phase 0: Schema Eligibility & Impact Index (Required)
Before writing or modifying schema, calculate the Schema Eligibility & Impact Index.
Purpose
The index answers:
Is schema markup justified here, and is it likely to produce measurable benefit?
---
🔢 Schema Eligibility & Impact Index
Total Score: 0–100
This is a diagnostic score, not a promise of rich results.
---
Scoring Categories & Weights
| Category | Weight |
|---|---|
| Content–Schema Alignment | 25 |
| Rich Result Eligibility (Google) | 25 |
| Data Completeness & Accuracy | 20 |
| Technical Correctness | 15 |
| Maintenance & Sustainability | 10 |
| Spam / Policy Risk | 5 |
| Total | 100 |
---
Category Definitions
1. Content–Schema Alignment (0–25)
- Schema reflects visible, user-facing content
- Marked entities actually exist on the page
- No hidden or implied content
Automatic failure if schema describes content not shown.
---
2. Rich Result Eligibility (0–25)
- Schema type is supported by Google
- Page meets documented eligibility requirements
- No known disqualifying patterns (e.g. self-serving reviews)
---
3. Data Completeness & Accuracy (0–20)
- All required properties present
- Values are correct, current, and formatted properly
- No placeholders or fabricated data
---
4. Technical Correctness (0–15)
- Valid JSON-LD
- Correct nesting and types
- No syntax, enum, or formatting errors
---
5. Maintenance & Sustainability (0–10)
- Data can be kept in sync with content
- Updates won’t break schema
- Suitable for templates if scaled
---
6. Spam / Policy Risk (0–5)
- No deceptive intent
- No over-markup
- No attempt to game rich results
---
Scoring Guidance per Category
For each of the six scoring categories, allot points within the category's weight band using these anchors:
- 0–15% of band: Schema describes none of the visible content (e.g. you would mark
descriptionfor aRecipepage that has no recipe markup yet). - 16–40% of band: Partial alignment — the schema describes some but not all of the visible content, OR maps to a less-common schema.org type.
- 41–80% of band: Strong alignment — the schema describes the bulk of the visible content with a common schema.org type.
- 81–100% of band: Exemplary — the schema covers all visible content, uses a Google-supported rich-result type, and includes all required properties.
Sum the per-category scores to compute the Eligibility Index used in §"Eligibility Bands" below.
Eligibility Bands (Required)
| Score | Verdict | Interpretation |
|---|---|---|
| 85–100 | Strong Candidate | Schema is appropriate and low risk |
| 70–84 | Valid but Limited | Use selectively, expect modest impact |
| 55–69 | High Risk | Implement only with strict controls |
| <55 | Do Not Implement | Likely invalid or harmful |
If verdict is Do Not Implement, stop and explain why.
---
Phase 1: Page & Goal Assessment
(Proceed only if score ≥ 70)
1. Page Type
- What kind of page is this?
- Primary content entity
- Single-entity vs multi-entity page
2. Current State
- Existing schema present?
- Errors or warnings?
- Rich results currently shown?
3. Objective
- Which rich result (if any) is targeted?
- Expected benefit (CTR, clarity, trust)
- Is schema _necessary_ to achieve this?
---
Core Principles (Non-Negotiable)
1. Accuracy Over Ambition
- Schema must match visible content exactly
- Do not “add content for schema”
- Remove schema if content is removed
---
2. Google First, Schema.org Second
- Follow Google rich result documentation
- Schema.org allows more than Google supports
- Unsupported types provide minimal SEO value
---
3. Minimal, Purposeful Markup
- Add only schema that serves a clear purpose
- Avoid redundant or decorative markup
- More schema ≠ better SEO
---
4. Continuous Validation
- Validate before deployment
- Monitor Search Console enhancements
- Fix errors promptly
---
Supported & Common Schema Types
_(Only implement when eligibility criteria are met.)_
Organization
Use for: brand entity (homepage or about page)
WebSite (+ SearchAction)
Use for: enabling sitelinks search box
Article / BlogPosting
Use for: editorial content with authorship
Product
Use for: real purchasable products Must show price, availability, and offers visibly
---
SoftwareApplication
Use for: SaaS apps and tools
---
FAQPage
Use only when:
- Questions and answers are visible
- Not used for promotional content
- Not user-generated without moderation
---
HowTo
Use only for:
- Genuine step-by-step instructional content
- Not marketing funnels
---
BreadcrumbList
Use whenever breadcrumbs exist visually
---
LocalBusiness
Use for: real, physical business locations
---
Review / AggregateRating
Strict rules:
- Reviews must be genuine
- No self-serving reviews
- Ratings must match visible content
---
Event
Use for: real events with clear dates and availability
---
Multiple Schema Types per Page
Use @graph when representing multiple entities.
Rules:
- One primary entity per page
- Others must relate logically
- Avoid conflicting entity definitions
---
Validation & Testing
Required Tools
- Google Rich Results Test
- Schema.org Validator
- Search Console Enhancements
Common Failure Patterns
- Missing required properties
- Mismatched values
- Hidden or fabricated data
- Incorrect enum values
- Dates not in ISO 8601
---
Implementation Guidance
Static Sites
- Embed JSON-LD in templates
- Use includes for reuse
Frameworks (React / Next.js)
- Server-side rendered JSON-LD
- Data serialized directly from source
CMS / WordPress
- Prefer structured plugins
- Use custom fields for dynamic values
- Avoid hardcoded schema in themes
---
Output Format (Required)
Schema Strategy Summary
- Eligibility Index score + verdict
- Supported schema types
- Risks and constraints
JSON-LD Implementation
{
"@context": "https://schema.org",
"@type": "...",
...
}Placement Instructions
Where and how to add it
Validation Checklist
- [ ] Valid JSON-LD
- [ ] Passes Rich Results Test
- [ ] Matches visible content
- [ ] Meets Google eligibility rules
---
Questions to Ask (If Needed)
1. What content is visible on the page? 2. Which rich result are you targeting (if any)? 3. Is this content templated or editorial? 4. How is this data maintained? 5. Is schema already present?
---
Related Skills
- seo-audit – Full SEO review including schema
- programmatic-seo – Templated schema at scale
- analytics-tracking – Measure rich result impact
When to Use
This skill is applicable to execute the workflow or actions described in the overview.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Related skills
FAQ
Does schema-markup guarantee Google rich results?
schema-markup does not guarantee rich results; the skill focuses on determining eligibility, selecting valid schema.org types, and producing correct JSON-LD while preventing misleading or spammy markup.
What structured data format does schema-markup use?
schema-markup designs and validates schema.org structured data as maintainable JSON-LD, assessing Google rich result eligibility and blocking invalid or excessive markup on each page.
Is Schema Markup safe to install?
skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.