
schema-markup
Design, validate, and optimize schema.org structured data for eligibility, correctness, and measurable SEO impact.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/sickn33/agentic-awesome-skills --skill schema-markup- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads schema-markup automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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: describing the website; Google removed the sitelinks search box feature in November 2024
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)
- What content is visible on the page?
- Which rich result are you targeting (if any)?
- Is this content templated or editorial?
- How is this data maintained?
- 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.
Google rich-result support is separate from Schema.org validity: sitelinks search box was removed in November 2024, HowTo rich results were deprecated in September 2023, and FAQ rich results are limited to eligible well-known authoritative government/health sites. Do not promise these enhancements for ordinary FAQ/how-to pages. Use only truthful visible content and real ratings; eligibility tests do not guarantee display. See search-box removal and FAQ/HowTo changes.
FAQ
What does the schema-markup skill do?
Design, validate, and optimize schema.org structured data for eligibility, correctness, and measurable SEO impact.
How do I install schema-markup?
Run npx skills add https://github.com/sickn33/agentic-awesome-skills --skill schema-markup in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/schema-markup/ (personal) or .claude/skills/schema-markup/ (project).
Which AI agents can use schema-markup?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is schema-markup safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains schema-markup?
It is published by sickn33 in sickn33/agentic-awesome-skills. It has 569 recorded installs.
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