Guides implementation of Schema.org structured data (JSON-LD) for rich snippets, enhanced search results, and Generative Engine Optimization (GEO).
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node --versionschema-markupExecute the skills CLI command in your project's root directory to begin installation:
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Guides implementation of Schema.org structured data (JSON-LD) for rich snippets, enhanced search results, and Generative Engine Optimization (GEO).
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Schema.org and Google Structured Data are not fully aligned. Schema.org is an open vocabulary (800+ types); Google, Bing, and other engines each support only a curated subset for rich results.
| Engine | Support | Notes |
|---|---|---|
| Subset only | Only types in Google's search gallery generate rich results. Valid Schema.org markup not in Google's list won't produce enhanced snippets—even if technically correct. | |
| Bing | Subset; different | Supports JSON-LD, Microdata, RDFa, Open Graph. Some types (e.g., Product, Offer) have format-specific support. Check Bing Webmaster docs. |
| Other engines | Varies | Yandex, DuckDuckGo, AI search tools (Perplexity, etc.) may use Schema.org for understanding even when they don't display rich results. |
Practical implication: Implement Schema.org markup for your content type. If Google doesn't show rich results for that type, Bing or AI systems may still use it. Always verify against Google's developer docs for Google-specific rich result eligibility.
High-impact types: Product, Review snippets, HowTo (desktop), Article/News, Video, Recipe, LocalBusiness, Event, Breadcrumb, Sitelinks searchbox, JobPosting.
Limited or context-dependent: HowTo (mobile), FAQ (government/health sites for many queries), Education Q&A, Course, SoftwareApplication, Speakable (news), DiscussionForumPosting.
Deprecated: COVID data panels, some AMP-only formats, data-vocabulary.org.
Implementation: JSON-LD preferred; include @context, @type, stable @id; ISO 8601 dates; match structured data to visible content. Validate with Rich Results Test. Rich results can increase CTR up to ~35% and improve AI citation. AISO Hub, Digital Applied
Schema, SERP features, and rich results are strongly related. Schema is the necessary condition for most rich results. When targeting a SERP feature, implement the corresponding schema type. See serp-features for the full SERP feature list and optimization.
| Schema Type | SERP Feature / Rich Result | Notes |
|---|---|---|
| FAQPage | PAA, Featured Snippet | FAQ dropdown; Q&A-style snippet. Eligibility restricted for many sites (e.g. government/health) |
| BreadcrumbList | Breadcrumbs | Path display in result |
| AggregateRating, Review | Reviews / Stars | Star ratings |
| HowTo | Featured Snippet (list) | Step-based snippet; desktop support; mobile may be limited |
| Article | In-Depth Articles, Snippet | Article rich result |
| VideoObject | Video | Video thumbnail; see video-optimization |
| Product, Offer | Shopping, Product | Product/shopping results |
| Recipe | Recipe | Recipe rich result |
| JobPosting | Google Jobs | Job listings |
| Event | Event | Event rich result |
| WebSite + SearchAction | Sitelinks searchbox | Site links for brand queries |
| Organization, Person | Knowledge Panel | Entity info; see entity-seo |
Workflow: 1) Use serp-features to identify target SERP feature; 2) Look up schema type in this table; 3) Implement and validate with Rich Results Test.
GEO = optimizing content so AI systems (Google AI Overviews, Perplexity, ChatGPT, Gemini) choose, cite, and quote your content in generated answers. Structured data makes content machine-readable; AI engines extract and cite more accurately. Key schema types for GEO: Organization, Person/Author, WebSite, WebPage, FAQPage, HowTo, Article, Product, AggregateRating. See generative-engine-optimization for full GEO strategy.
Check for project context first: If .claude/project-context.md or .cursor/project-context.md exists, read it for product type and content.
Identify:
| Type | Use case |
|---|---|
| Organization | Site-wide; company info, logo, sameAs; see placement below |
| WebSite | Site-wide; search action, site name; pair with Organization on homepage |
| Article | Blog posts, news, tool intros |
| BreadcrumbList | Breadcrumb navigation |
| FAQPage | FAQ sections; triggers PAA-style results |
| Person | Author info; pairs with Article |
| ImageObject | Image metadata for rich results |
| HowTo | Tutorials, step-by-step guides. Note: Google may have deprecated HowTo rich results (2023–2024); Schema.org still supports it; Bing/AI may use it |
| Type | Use case |
|---|---|
| JobPosting | Recruitment sites, AI Job Matching |
| Product | E-commerce product pages |
| Event | Event pages, ticketing (not general blogs) |
| SoftwareApplication | App pages, tool pages |
| LocalBusiness | Local business pages |
| Dataset | Data platforms, datasets |
| DiscussionForumPosting | Forums, community posts |
| Quiz | Education, flashcards |
| MathSolver | Math tools |
| CaseStudy | Case study pages |
| Recipe | Recipes, meal plans, cooking instructions |
Rule: Use core types for most sites. Use exclusive types only when page content matches (e.g., don't use Event on a blog; don't use JobPosting on a product page).
| Where | Organization | WebSite | Notes |
|---|---|---|---|
| Homepage | Minimum | Minimum | Add both Organization and WebSite to homepage at least. Organization describes the entity that owns the site; WebSite enables sitelinks searchbox and site identity. |
| Root layout / global | Optimal | Optimal | Place in site-wide layout (e.g. layout.tsx, _document, global header/footer) so schema appears on every page. Google uses the first instance found; one instance per site is sufficient. |
| About page | No | No | About page uses AboutPage schema (page-specific: headline, description, author, about). Organization is entity-level, not page-level—do not confine it to About. See about-page-generator. |
Implementation: JSON-LD in <head>; use @id (e.g. https://example.com/#organization) to link Organization ↔ WebSite ↔ WebPage for entity graph. See entity-seo for @id and Knowledge Panel.
Use this table to recommend which exclusive schema types fit a site. Match the site's content and product type to the most relevant schema. When in doubt, start with core types (Organization, WebSite, Article); add exclusive types only when content clearly matches.
| Website / Product type | Recommended exclusive schema | Why |
|---|---|---|
| AI meal planner, recipe site, food blog, cooking app | Recipe | Ingredients, instructions, cook time, servings—highly relevant for food/meal content. Google supports Recipe rich results. |
| Job board, recruitment site, careers page | JobPosting | Title, company, location, salary, employment type. Required for Google Jobs. |
| Event platform, ticketing, webinar, conference | Event | Date, location, price. Use only on actual event pages. |
| SaaS, app, Chrome extension, tool, software product page | SoftwareApplication | App name, category, rating, price, OS. Fits product/feature pages. |
| E-commerce product page | Product | Price, availability, brand, reviews. Use with Offer, AggregateRating. |
| Forum, community, Reddit-style, Q&A | DiscussionForumPosting | Post content, author, comments. For user-generated discussion. |
| Data platform, dataset repository, Scale AI / Surge AI | Dataset | Dataset name, creator, license, distribution format. For data catalog pages. |
| Education site, flashcards, Quizlet-style | Quiz | Question-answer pairs. For educational Q&A content. |
| Math solver, calculator, equation tool | MathSolver | Math problem input, solution output. For math tools. |
| Restaurant, local service, store locator | LocalBusiness | Address, hours, NAP. For local SEO. |
| Case study, customer story page | CaseStudy | Client, outcome, methodology. For B2B case studies. |
| FAQ page, product FAQ, support FAQ | FAQPage | Question + acceptedAnswer pairs. Triggers PAA-style results. |
| Tutorial, how-to guide, step-by-step | HowTo | Steps, tools, time. Note: Google may have deprecated rich results; Bing/AI may still use. |
| News article, press release | NewsArticle | Use instead of Article for news. |
| Video page, podcast episode | VideoObject / PodcastEpisode | For video/audio content. See video-optimization for VideoObject, thumbnail, key moments. |
Examples:
Output: When recommending schema, state: (1) which exclusive types fit the site/product, (2) which page types get which schema, (3) core types to add site-wide (Organization, WebSite, BreadcrumbList).
Choose the most specific type that matches content:
| Type | Use case |
|---|---|
| BlogPosting | Informal blog posts; individual authors; regularly updated |
| Article | Formal, evergreen content; tool intros; encyclopedic |
| NewsArticle | Time-sensitive news; recognized publishers |
Required properties: headline (max 110 chars), image (min 1200px wide; absolute URL), datePublished (ISO 8601), author (Person or Organization), publisher (Organization with logo).
Recommended: dateModified, description, mainEntityOfPage (canonical URL).
Date display for CTR: Google recommends showing only one date on the page. If both datePublished and dateModified are visible, Google may pick the wrong date for SERP display—Search Engine Land saw ~22% CTR drop. Best practice: show dateModified if it exists, otherwise datePublished. Keep both in JSON-LD; the rule applies to visible date only.
JSON-LD example (BlogPosting):
{
"@context": "https://schema.org",
"@type": "BlogPosting",
"headline": "The Ultimate SEO Checklist for 2025",
"description": "A complete guide to optimizing blog posts for search and AI.",
"image": "https://example.com/image.jpg",
"datePublished": "2025-01-15T09:00:00Z",
"dateModified": "2025-02-01T14:30:00Z",
"author": { "@type": "Person", "name": "Jane Doe", "url": "https://example.com/author/jane" },
"publisher": { "@type": "Organization", "name": "Example", "logo": { "@type": "ImageObject", "url": "https://example.com/logo.png" } }
}
Place in <head> via <script type="application/ld+json">. For article pages, use og:type: article with og:article:published_time, og:article:modified_time, og:article:author. See article-page-generator, open-graph.
For breadcrumb navigation. Schema must match visible breadcrumbs exactly. See breadcrumb-generator for UI, placement, and semantic HTML.
| Requirement | Guideline |
|---|---|
| Format | JSON-LD in <script type="application/ld+json"> |
| URLs | Absolute URLs with https:// for each item |
| Position | Sequential integers starting from 1 |
| Match | Schema must match visible breadcrumbs exactly |
JSON-LD example:
{
"@context": "https://schema.org",
"@type": "BreadcrumbList",
"itemListElement": [
{ "@type": "ListItem", "position": 1, "name": "Home", "item": "https://example.com/" },
{ "@type": "ListItem", "position": 2, "name": "Category", "item": "https://example.com/category/" },
{ "@type": "ListItem", "position": 3, "name": "Current Page", "item"✓Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
✓Save 3-5 hours/week on communication overhead
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
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4.7★★★★★73 reviews- SSophia Sanchez★★★★★Dec 28, 2024
Registry listing for schema-markup matched our evaluation — installs cleanly and behaves as described in the markdown.
- OOlivia Farah★★★★★Dec 28, 2024
schema-markup is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- PPratham Ware★★★★★Dec 24, 2024
I recommend schema-markup for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- KKwame Dixit★★★★★Dec 24, 2024
schema-markup fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- CCharlotte Menon★★★★★Dec 16, 2024
I recommend schema-markup for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- NNoor Khan★★★★★Nov 27, 2024
schema-markup has been reliable in day-to-day use. Documentation quality is above average for community skills.
- HHenry Torres★★★★★Nov 19, 2024
schema-markup reduced setup friction for our internal harness; good balance of opinion and flexibility.
- YYash Thakker★★★★★Nov 15, 2024
Useful defaults in schema-markup — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- CCharlotte Tandon★★★★★Nov 11, 2024
Registry listing for schema-markup matched our evaluation — installs cleanly and behaves as described in the markdown.
- JJin Thompson★★★★★Nov 7, 2024
Useful defaults in schema-markup — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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