cloudflare-images▌
jezweb/claude-skills · updated Apr 8, 2026
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Store, transform, and deliver images at scale with Cloudflare Images API and URL-based transformations.
- ›Upload images via API, direct creator URLs, or external sources; serve via imagedelivery.net with optional signed URLs for private access
- ›Transform any image on-the-fly using /cdn-cgi/image/ parameters (resize, crop, quality, format auto-detection) or Workers cf.image object
- ›Create up to 100 named variants for common transformations; use flexible variants for dynamic parameters (in
Cloudflare Images
Status: Production Ready ✅ Last Updated: 2026-01-21 Dependencies: Cloudflare account with Images enabled Latest Versions: Cloudflare Images API v2, @cloudflare/[email protected]
Recent Updates (2025):
- February 2025: Content Credentials support (C2PA standard) - preserve image provenance chains, automatic cryptographic signing of transformations
- August 2025: AI Face Cropping GA (
gravity=facewithzoomcontrol, GPU-based RetinaFace, 99.4% precision) - May 2025: Media Transformations origin restrictions (default: same-domain only, configurable via dashboard)
- Upcoming: Background removal, generative upscale (planned features)
Deprecation Notice: Mirage deprecated September 15, 2025. Migrate to Cloudflare Images for storage/transformations or use native <img loading="lazy"> for lazy loading.
Overview
Two features: Images API (upload/store with variants) and Image Transformations (resize any image via URL or Workers).
Quick Start
1. Enable: Dashboard → Images → Get Account ID + API token (Cloudflare Images: Edit permission)
2. Upload:
curl -X POST https://api.cloudflare.com/client/v4/accounts/<ACCOUNT_ID>/images/v1 \
-H 'Authorization: Bearer <API_TOKEN>' \
-H 'Content-Type: multipart/form-data' \
-F 'file=@./image.jpg'
3. Serve: https://imagedelivery.net/<ACCOUNT_HASH>/<IMAGE_ID>/public
4. Transform (optional): Dashboard → Images → Transformations → Enable for zone
<img src="/cdn-cgi/image/width=800,quality=85/uploads/photo.jpg" />
Upload Methods
1. File Upload: POST to /images/v1 with file (multipart/form-data), optional id, requireSignedURLs, metadata
2. Upload via URL: POST with url=https://example.com/image.jpg (supports HTTP basic auth)
3. Direct Creator Upload (one-time URLs, no API key exposure):
Backend: POST to /images/v2/direct_upload → returns uploadURL
Frontend: POST file to uploadURL with FormData
CRITICAL CORS FIX:
- ✅ Use
multipart/form-data(let browser set header) - ✅ Name field
file(NOTimage) - ✅ Call
/direct_uploadfrom backend only - ❌ Don't set
Content-Type: application/json - ❌ Don't call
/direct_uploadfrom browser
Image Transformations
URL: /cdn-cgi/image/<OPTIONS>/<SOURCE>
- Sizing:
width=800,height=600,fit=cover - Quality:
quality=85(1-100) - Format:
format=auto(WebP/AVIF auto-detection) - Cropping:
gravity=auto(smart crop),gravity=face(AI face detection, Aug 2025 GA),gravity=center,zoom=0.5(0-1 range, face crop tightness) - Effects:
blur=10,sharpen=3,brightness=1.2 - Fit:
scale-down,contain,cover,crop,pad
Workers: Use cf.image object in fetch
fetch(imageURL, {
cf: {
image: { width: 800, quality: 85, format: 'auto', gravity: 'face', zoom: 0.8 }
}
});
Variants
Named Variants (up to 100): Predefined transformations (e.g., avatar, thumbnail)
- Create: POST to
/images/v1/variantswithid,options - Use:
imagedelivery.net/<HASH>/<ID>/avatar - Works with signed URLs
Flexible Variants: Dynamic params in URL (w=400,sharpen=3)
- Enable: PATCH
/images/v1/configwith{"flexible_variants": true} - ❌ Cannot use with signed URLs (use named variants instead)
Signed URLs
Generate HMAC-SHA256 tokens for private images (URL format: ?exp=<TIMESTAMP>&sig=<HMAC>).
Algorithm: HMAC-SHA256(signingKey, imageId + variant + expiry) → hex signature
See: templates/signed-urls-generation.ts for Workers implementation
Critical Rules
Always Do
✅ Use multipart/form-data for Direct Creator Upload
✅ Name the file field file (not image or other names)
✅ Call /direct_upload API from backend only (NOT browser)
✅ Use HTTPS URLs for transformations (HTTP not supported)
✅ URL-encode special characters in image paths
✅ Enable transformations on zone before using /cdn-cgi/image/
✅ Use named variants for private images (signed URLs)
✅ Check Cf-Resized header for transformation errors
✅ Set format=auto for automatic WebP/AVIF conversion
✅ Use fit=scale-down to prevent unwanted enlargement
Never Do
❌ Use application/json Content-Type for file uploads
❌ Call /direct_upload from browser (CORS will fail)
❌ Use flexible variants with requireSignedURLs=true
❌ Resize SVG files (they're inherently scalable)
❌ Use HTTP URLs for transformations (HTTPS only)
❌ Put spaces or unescaped Unicode in URLs
❌ Transform the same image multiple times in Workers (causes 9403 loop)
❌ Exceed 100 megapixels image size
❌ Use /cdn-cgi/image/ endpoint in Workers (use cf.image instead)
❌ Forget to enable transformations on zone before use
Known Issues Prevention
This skill prevents 16 documented issues.
Issue #1: Direct Creator Upload CORS Error
Error: Access to XMLHttpRequest blocked by CORS policy: Request header field content-type is not allowed
Source: Cloudflare Community #345739, #368114
Why It Happens: Server CORS settings only allow multipart/form-data for Content-Type header
Prevention:
// ✅ CORRECT
const formData = new FormData();
formData.append('file', fileInput.files[0]);
await fetch(uploadURL, {
method: 'POST',
body: formData // Browser sets multipart/form-data automatically
});
// ❌ WRONG
await fetch(uploadURL, {
method: 'POST',
headers: { 'Content-Type': 'application/json' }, // CORS error
body: JSON.stringify({ file: base64Image })
});
Issue #2: Error 5408 - Upload Timeout
Error: Error 5408 after ~15 seconds of upload
Source: Cloudflare Community #571336
Why It Happens: Cloudflare has 30-second request timeout; slow uploads or large files exceed limit
Prevention:
- Compress images before upload (client-side with Canvas API)
- Use reasonable file size limits (e.g., max 10MB)
- Show upload progress to user
- Handle timeout errors gracefully
const MAX_FILE_SIZE = 10 * 1024 * 1024; // 10MB
if (file.size > MAX_FILE_SIZE) {
alert('File too large. Please select an image under 10MB.');
return;
}
Issue #3: Error 400 - Invalid File Parameter
Error: 400 Bad Request with unhelpful error message
Source: Cloudflare Community #487629
Why It Happens: File field must be named file (not image, photo, etc.)
Prevention:
// ✅ CORRECT
formData.append('file', imageFile);
// ❌ WRONG
formData.append('image', imageFile); // 400 error
formData.append('photo', imageFile); // 400 error
Issue #4: CORS Preflight Failures
Error: Preflight OPTIONS request blocked
Source: Cloudflare Community #306805
Why It Happens: Calling /direct_upload API directly from browser (should be backend-only)
Prevention:
ARCHITECTURE:
Browser → Backend API → POST /direct_upload → Returns uploadURL → Browser uploads to uploadURL
Never expose API token to browser. Generate upload URL on backend, return to frontend.
Issue #5: Error 9401 - Invalid Arguments
Error: Cf-Resized: err=9401 - Required cf.image options missing or invalid
Source: Cloudflare Images Docs - Troubleshooting
Why It Happens: Missing required transformation parameters or invalid values
Prevention:
// ✅ CORRECT
fetch(imageURL, {
cf: {
image: {
width: 800,
quality: 85,
format: 'auto'
}
}
});
// ❌ WRONG
fetch(imageURL, {
cf: {
image: {
width: 'large', // Must be number
quality: 150 // Max 100
}
}
});
Issue #6: Error 9402 - Image Too Large
Error: Cf-Resized: err=9402 - Image too large or connection interrupted
Source: Cloudflare Images Docs - Troubleshooting
Why It Happens: Image exceeds maximum area (100 megapixels) or download fails
Prevention:
- Validate image dimensions before transforming
- Use reasonable source images (max 10000x10000px)
- Handle network errors gracefully
Issue #7: Error 9403 - Request Loop
Error: Cf-Resized: err=9403 - Worker fetching its own URL or already-resized image
Source: Cloudflare Images Docs - Troubleshooting
Why It Happens: Transformation applied to already-transformed image, or Worker fetches itself
Prevention:
// ✅ CORRECT
if (url.pathname.startsWith('/images/')) {
const originalPath = url.pathname.replace('/images/', '');
const originURL = `https://storage.example.com/${originalPath}`;
How to use cloudflare-images 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 cloudflare-images
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches cloudflare-images from GitHub repository jezweb/claude-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 cloudflare-images. Access the skill through slash commands (e.g., /cloudflare-images) 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▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★60 reviews- ★★★★★Daniel Bhatia· Dec 24, 2024
I recommend cloudflare-images for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Kwame Gonzalez· Dec 20, 2024
We added cloudflare-images from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Dhruvi Jain· Dec 16, 2024
cloudflare-images reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Soo Torres· Dec 16, 2024
Keeps context tight: cloudflare-images is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Hassan Ramirez· Dec 16, 2024
cloudflare-images is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Anika Nasser· Dec 4, 2024
cloudflare-images fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Xiao Gill· Nov 27, 2024
cloudflare-images fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Noor Khan· Nov 15, 2024
cloudflare-images reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Oshnikdeep· Nov 7, 2024
I recommend cloudflare-images for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Advait Martinez· Nov 7, 2024
cloudflare-images has been reliable in day-to-day use. Documentation quality is above average for community skills.
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