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AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncloudflare-r2Execute the skills CLI command in your project's root directory to begin installation:
Fetches cloudflare-r2 from jezweb/claude-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate cloudflare-r2. Access via /cloudflare-r2 in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Status: Production Ready ✅ Last Updated: 2026-01-20 Dependencies: cloudflare-worker-base (for Worker setup) Latest Versions: [email protected], @cloudflare/[email protected], [email protected]
Recent Updates (2025):
# 1. Create bucket
npx wrangler r2 bucket create my-bucket
# 2. Add binding to wrangler.jsonc
# {
# "r2_buckets": [{
# "binding": "MY_BUCKET",
# "bucket_name": "my-bucket",
# "preview_bucket_name": "my-bucket-preview" // Optional: separate dev/prod
# }]
# }
# 3. Upload/download from Worker
type Bindings = { MY_BUCKET: R2Bucket };
// Upload
await env.MY_BUCKET.put('file.txt', data, {
httpMetadata: { contentType: 'text/plain' }
});
// Download
const object = await env.MY_BUCKET.get('file.txt');
if (!object) return c.json({ error: 'Not found' }, 404);
return new Response(object.body, {
headers: {
'Content-Type': object.httpMetadata?.contentType || 'application/octet-stream',
'ETag': object.httpEtag,
},
});
# 4. Deploy
npx wrangler deploy
// put() - Upload objects
await env.MY_BUCKET.put('file.txt', data, {
httpMetadata: {
contentType: 'text/plain',
cacheControl: 'public, max-age=3600',
},
customMetadata: { userId: '123' },
md5: await crypto.subtle.digest('MD5', data), // Checksum verification
});
// Conditional upload (prevent overwrites)
const object = await env.MY_BUCKET.put('file.txt', data, {
onlyIf: { uploadedBefore: new Date('2020-01-01') }
});
if (!object) return c.json({ error: 'File already exists' }, 409);
// get() - Download objects
const object = await env.MY_BUCKET.get('file.txt');
if (!object) return c.json({ error: 'Not found' }, 404);
const text = await object.text(); // As string
const json = await object.json(); // As JSON
const buffer = await object.arrayBuffer(); // As ArrayBuffer
// Range requests (partial downloads)
const partial = await env.MY_BUCKET.get('video.mp4', {
range: { offset: 0, length: 1024 * 1024 } // First 1MB
});
// head() - Get metadata only (no body download)
const object = await env.MY_BUCKET.head('file.txt');
console.log(object.size, object.etag, object.customMetadata);
// delete() - Delete objects
await env.MY_BUCKET.delete('file.txt'); // Single delete (idempotent)
await env.MY_BUCKET.delete(['file1.txt', 'file2.txt']); // Bulk delete (max 1000)
// list() - List objects
const listed = await env.MY_BUCKET.list({
prefix: 'images/', // Filter by prefix
limit: 100,
cursor: cursor, // Pagination
delimiter: '/', // Folder-like listing
include: ['httpMetadata', 'customMetadata'], // IMPORTANT: Opt-in for metadata
});
for (const object of listed.objects) {
console.log(`${object.key}: ${object.size} bytes`);
console.log(object.httpMetadata?.contentType); // Now populated with include parameter
console.log(object.customMetadata); // Now populated with include parameter
}
For files >100MB or resumable uploads. Use when: large files, browser uploads, parallelization needed.
// 1. Create multipart upload
const multipart = await env.MY_BUCKET.createMultipartUpload('large-file.zip', {
httpMetadata: { contentType: 'application/zip' }
});
// 2. Upload parts (5MB-100MB each, max 10,000 parts)
const multipart = env.MY_BUCKET.resumeMultipartUpload(key, uploadId);
const part1 = await multipart.uploadPart(1, chunk1);
const part2 = await multipart.uploadPart(2, chunk2);
// 3. Complete upload
const object = await multipart.complete([
{ partNumber: 1, etag: part1.etag },
{ partNumber: 2, etag: part2.etag },
]);
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
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate 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
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4.7★★★★★30 reviews- HHarper Liu★★★★★Dec 28, 2024
Useful defaults in cloudflare-r2 — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- SShikha Mishra★★★★★Dec 20, 2024
Useful defaults in cloudflare-r2 — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- KKaira Abebe★★★★★Dec 4, 2024
I recommend cloudflare-r2 for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- KKwame Gonzalez★★★★★Nov 23, 2024
Keeps context tight: cloudflare-r2 is the kind of skill you can hand to a new teammate without a long onboarding doc.
- AAnaya Perez★★★★★Nov 19, 2024
cloudflare-r2 is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- RRahul Santra★★★★★Nov 11, 2024
cloudflare-r2 is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- CChen Smith★★★★★Oct 14, 2024
cloudflare-r2 is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- AAisha Singh★★★★★Oct 10, 2024
Keeps context tight: cloudflare-r2 is the kind of skill you can hand to a new teammate without a long onboarding doc.
- PPratham Ware★★★★★Oct 2, 2024
Keeps context tight: cloudflare-r2 is the kind of skill you can hand to a new teammate without a long onboarding doc.
- OOlivia Sethi★★★★★Sep 5, 2024
cloudflare-r2 fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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