Schema Markup
Handles schema.org structured data with a strong emphasis on not wasting your time. It requires you to calculate an eligibility score before writing any markup, which is honestly refreshing given how much bad schema is out there. Covers the usual types (Product, Article, LocalBusiness, FAQPage) but anchors everything to Google's actual rich result requirements, not just schema.org's wishful thinking. The scoring system checks content alignment, completeness, and spam risk, and will tell you outright not to implement if the score is below 55. Good fit if you're tired of adding markup that either breaks validation or sits there doing nothing.
- skills.sh installs
- 572
- GitHub stars
- 43.1K
- last updated
- Jul 14, 2026
Install
$ npx -y skills add sickn33/antigravity-awesome-skills --skill schema-markup --agent claude-codeInstalls into .claude/skills of the current project.
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
Sponsors
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- Repository
- github.com/sickn33/antigravity-awesome-skills
- First seen
- Jun 3, 2026
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