image-optimization▌
kostja94/marketing-skills · updated Apr 8, 2026
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Guides image optimization for Google Search (text results, Image Pack, Google Images, Discover), Core Web Vitals (LCP), and accessibility. Consolidates image-related best practices from components (hero, trust-badges) and pages (landing-page). References: Google Image SEO, Semrush Image SEO.
SEO On-Page: Image Optimization
Guides image optimization for Google Search (text results, Image Pack, Google Images, Discover), Core Web Vitals (LCP), and accessibility. Consolidates image-related best practices from components (hero, trust-badges) and pages (landing-page). References: Google Image SEO, Semrush Image SEO.
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.
Scope
- Discovery & indexing: HTML img elements, image sitemap
- Format & performance: WebP, responsive images, lazy loading, LCP; full CWV optimization in core-web-vitals
- Metadata: Alt text, file names, captions
- Preferred image: primaryImageOfPage, og:image; thumbnail next to title/description in search results
- Structured data: ImageObject, image in Article/Product/etc.
Initial Assessment
Check for project context first: If .claude/project-context.md or .cursor/project-context.md exists, read it for brand and page context.
Identify:
- Context: Hero, content page, product, trust badge, social preview
- Above vs below fold: LCP candidate (hero) vs lazy-loadable
- Image count: Single hero vs gallery, programmatic pages
1. Discovery & Indexing
Use HTML Image Elements
Google finds images in the src attribute of <img> (including inside <picture>). CSS background images are not indexed.
| Do | Don't |
|---|---|
<img src="puppy.jpg" alt="Golden retriever puppy" /> |
<div style="background-image:url(puppy.jpg)"> |
Image Sitemap
Submit an image sitemap to help Google discover images it might otherwise miss. Image sitemaps can include URLs from CDNs (other domains); verify CDN domain in Search Console for crawl error reporting.
Structure (from Google):
<?xml version="1.0" encoding="UTF-8"?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"
xmlns:image="http://www.google.com/schemas/sitemap-image/1.1">
<url>
<loc>https://example.com/page</loc>
<image:image>
<image:loc>https://example.com/image.jpg</image:loc>
</image:image>
</url>
</urlset>
See xml-sitemap for sitemap index and submission. Image sitemap is an extension; can be standalone or combined with page sitemap.
2. Format & Performance
Supported Formats
Google supports: BMP, GIF, JPEG, PNG, WebP, SVG, AVIF. Match filename extension to format.
| Format | Best for | Notes |
|---|---|---|
| WebP | Photos, graphics | Smaller files, faster load; lossy + lossless; transparency, animation |
| AVIF | Modern browsers | Even smaller than WebP; check support |
| JPEG | Standard photos | Fallback; widely supported |
| PNG | Transparency, detail | Larger; use when needed |
| SVG | Icons, logos | Scalable; use <title> for inline SVG alt |
| GIF | Simple animation | First frame only for preview |
Responsive Images
Use <picture> or srcset for different screen sizes. Always provide fallback src—some crawlers don't understand srcset.
<img
srcset="image-320w.jpg 320w, image-480w.jpg 480w, image-800w.jpg 800w"
sizes="(max-width: 320px) 280px, (max-width: 480px) 440px, 800px"
src="image-800w.jpg"
alt="Descriptive alt text">
Picture element (format fallback, e.g. WebP → PNG):
<picture>
<source type="image/webp" srcset="image.webp">
<img src="image.png" alt="Descriptive alt text">
</picture>
Data URI (Inline Images)
Base64 data URIs (data:image/...;base64,...) reduce HTTP requests but increase HTML size. Use sparingly for small icons; avoid for large images. See web.dev.
Resize & Compress
- Max width: Generally ≤2,500px; match container max-width
- Compression: WebP preferred; quality 75–85 for lossy; 72dpi for web
- LCP: Hero/above-fold images are LCP candidates; optimize aggressively
Lazy Loading
Use loading="lazy" only for below-fold images. Above-fold images (hero) must load immediately—lazy loading them hurts LCP.
<img src="hero.jpg" alt="..." loading="eager">
<img src="below-fold.jpg" alt="..." loading="lazy">
3. Alt Text
Alt text improves accessibility (screen readers, low bandwidth) and SEO (Google uses it with computer vision to understand images). It also serves as anchor text if the image is a link.
Best Practices
| Do | Don't |
|---|---|
| Useful, information-rich description | Keyword stuffing |
| Context of page content | "image of" or "photo of" (redundant) |
| Max ~125 characters (some assistive tech truncates) | Empty alt on meaningful images |
| Descriptive for functional images | Alt on purely decorative images (use alt="") |
Examples (from Google):
- ❌ Missing:
<img src="puppy.jpg"/> - ❌ Stuffing:
alt="puppy dog baby dog pup pups puppies..." - ✅ Better:
alt="puppy" - ✅ Best:
alt="Dalmatian puppy playing fetch"
Captions
Google extracts image context from captions and nearby text. Use <figcaption> or descriptive text near the image.
| Use | Purpose |
|---|---|
| Topic relevance | Caption describes image subject; supports indexing |
| Featured Snippets | Images near answers with captions can capture thumbnail slots; see featured-snippet |
| Image Pack | Alt + caption + file name help Image Pack display; see serp-features |
Inline SVG
Use <title> inside SVG for accessibility:
<svg aria-labelledby="svgtitle1">
<title id="svgtitle1">Descriptive text for the SVG</title>
</svg>
4. File Names
Descriptive filenames give Google light clues about subject matter.
| Do | Don't |
|---|---|
apple-iphone-15-pink-side-view.jpg |
IMG00353.jpg |
| Short, hyphen-separated | Generic: image1.jpg, pic.gif |
| Localize filenames for translated pages | Overly long filenames |
5. Preferred Image (SERP Thumbnail & Discover)
When users search for keywords, optimized images can appear as thumbnails next to the page title and description in search results—enhancing visibility and CTR. Google also uses these images for Google Discover. Search Engine Land
Google selects thumbnails automatically from multiple sources. Influence selection via:
Schema: primaryImageOfPage
{
"@context": "https://schema.org",
"@type": "WebPage",
"url": "https://example.com/page",
"primaryImageOfPage": "https://example.com/images/cat.png"
}
Or attach image to main entity (e.g. BlogPosting, Article) via mainEntity or mainEntityOfPage.
Open Graph
<meta property="og:image" content="https://example.com/images/cat.png">
Preferred image rules: Relevant, representative; avoid generic (e.g. logo) or text-heavy images; avoid extreme aspect ratios; high resolution. See open-graph, twitter-cards for social specs.
Google Discover (if targeting Discover): ≥1200px wide; ≥300KB; 16:9 aspect ratio preferred; important content visible in landscape crop.
6. Page Context
- Title & meta description: Google uses page title and meta for image result snippets. See title-tag, meta-description.
- Placement: Put images near relevant text; page subject matter influences image indexing.
- Same URL: Reference the same image with the same URL across pages for cache efficiency and crawl budget.
7. Structured Data
Add structured data for rich results in Google Images (badges, extra info). Image attribute is required for eligibility. See schema-markup for ImageObject, Article, Product, Recipe, etc.
8. Specs by Context
| Context | Priority | Notes |
|---|---|---|
| Hero | LCP, alt, no lazy | See hero-generator; above-fold, fast load |
| Article / Blog hero | 1200–1600px wide; proportional height; 1200×630 for og:image | Same image for Schema, Open Graph, Twitter Cards; under 200 KB; WebP preferred; descriptive alt; set width/height to prevent CLS; use srcset/sizes for responsive; articles with relevant images get ~94% more views |
| Trust badges | Alt text | See trust-badges-generator; e.g. "Norton Secured" |
| Landing page | All above | See landing-page-generator Pre-Delivery Checklist |
| OG / Twitter | 1200×630, 1200×675 | See open-graph, twitter-cards |
| Platforms | Per-platform | X, LinkedIn, Pinterest—see platform skills |
9. Opt-Out & SafeSearch
- Inline linking opt-out: Prevent full-sized image display in Google Images via HTTP referrer check (200 or 204). See Google docs.
- SafeSearch: Label pages for explicit content if applicable.
Output Format
- Alt text suggestions per image
- Captions (if applicable; snippet/Image Pack context)
- File name recommendations
- Format (WebP, fallback)
- Responsive (srcset/sizes or picture)
- Lazy loading (above-fold vs below-fold)
- Image sitemap (if many images)
- Preferred image (schema, og:image) for key pages
Related Skills
- core-web-vitals: LCP, INP, CLS; image optimization supports LCP
- xml-sitemap: Sitemap structure; image sitemap extension
- open-graph, twitter-cards: og:image, twitter:image; social preview
- schema-markup: ImageObject, Article/Product image
- content-optimization: Multimedia in content; defers image SEO to this skill
- featured-snippet: Images near answers + captions; snippet thumbnail
- serp-features: Image Pack; alt, captions, file names
- visual-content: Visual content for social, infographics; website images use this skill
How to use image-optimization on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add image-optimization
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches image-optimization from GitHub repository kostja94/marketing-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate image-optimization. Access the skill through slash commands (e.g., /image-optimization) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
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
Competitive Analysis
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
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share 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
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★56 reviews- ★★★★★Dhruvi Jain· Dec 28, 2024
Useful defaults in image-optimization — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Hana Chawla· Dec 28, 2024
image-optimization has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Sakura Sharma· Dec 24, 2024
I recommend image-optimization for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Anika Thomas· Dec 20, 2024
Keeps context tight: image-optimization is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Zara Khanna· Dec 20, 2024
image-optimization fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Mateo Rahman· Nov 27, 2024
image-optimization reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Oshnikdeep· Nov 19, 2024
image-optimization has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Kwame Thompson· Nov 19, 2024
We added image-optimization from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Hana Farah· Nov 19, 2024
Useful defaults in image-optimization — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Hana Harris· Nov 15, 2024
Solid pick for teams standardizing on skills: image-optimization is focused, and the summary matches what you get after install.
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