Secure file uploads and CDN delivery for Next.js with presigned tokens and multipart support.
Works with
Supports server-side uploads via put() and client-side uploads with presigned tokens via handleUpload() to avoid exposing credentials
Handles files up to 500MB with automatic multipart upload; client uploads bypass the 4.5MB serverless function limit
Includes file listing with cursor-based pagination, deletion, and content-type management for proper browser handling
Prevents 16 documented
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionvercel-blobExecute the skills CLI command in your project's root directory to begin installation:
Fetches vercel-blob 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 vercel-blob. Access via /vercel-blob 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
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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Last Updated: 2026-01-21 Version: @vercel/[email protected] Skill Version: 2.1.0
# Create Blob store: Vercel Dashboard → Storage → Blob
vercel env pull .env.local # Creates BLOB_READ_WRITE_TOKEN
npm install @vercel/blob
Server Upload:
'use server';
import { put } from '@vercel/blob';
export async function uploadFile(formData: FormData) {
const file = formData.get('file') as File;
const blob = await put(file.name, file, { access: 'public' });
return blob.url;
}
CRITICAL: Never expose BLOB_READ_WRITE_TOKEN to client. Use handleUpload() for client uploads.
Server Action (generates presigned token):
'use server';
import { handleUpload } from '@vercel/blob/client';
export async function getUploadToken(filename: string) {
return await handleUpload({
body: {
type: 'blob.generate-client-token',
payload: { pathname: `uploads/${filename}`, access: 'public' }
},
request: new Request('https://dummy'),
onBeforeGenerateToken: async (pathname) => ({
allowedContentTypes: ['image/jpeg', 'image/png'],
maximumSizeInBytes: 5 * 1024 * 1024
})
});
}
Client Component:
'use client';
import { upload } from '@vercel/blob/client';
const tokenResponse = await getUploadToken(file.name);
const blob = await upload(file.name, file, {
access: 'public',
handleUploadUrl: tokenResponse.url
});
List/Delete:
import { list, del } from '@vercel/blob';
// List with pagination
const { blobs, cursor } = await list({ prefix: 'uploads/', cursor });
// Delete
await del(blobUrl);
Multipart (>500MB):
import { createMultipartUpload, uploadPart, completeMultipartUpload } from '@vercel/blob';
const upload = await createMultipartUpload('large-video.mp4', { access: 'public' });
// Upload chunks in loop...
await completeMultipartUpload({ uploadId: upload.uploadId, parts });
Always:
handleUpload() for client uploads (never expose BLOB_READ_WRITE_TOKEN)avatars/, uploads/)Never:
BLOB_READ_WRITE_TOKEN to clientThis skill prevents 16 documented issues:
Error: Error: BLOB_READ_WRITE_TOKEN is not defined
Source: https://vercel.com/docs/storage/vercel-blob
Why It Happens: Token not set in environment
Prevention: Run vercel env pull .env.local and ensure .env.local in .gitignore.
Error: Security vulnerability, unauthorized uploads
Source: https://vercel.com/docs/storage/vercel-blob/client-upload
Why It Happens: Using BLOB_READ_WRITE_TOKEN directly in client code
Prevention: Use handleUpload() to generate client-specific tokens with constraints.
Error: Error: File size exceeds limit (500MB)
Source: https://vercel.com/docs/storage/vercel-blob/limits
Why It Happens: Uploading file >500MB without multipart upload
Prevention: Validate file size before upload, use multipart upload for large files.
Error: Browser downloads file instead of displaying (e.g., PDF opens as text)
Source: Production debugging
Why It Happens: Not setting contentType option, Blob guesses incorrectly
Prevention: Always set contentType: file.type or explicit MIME type.
Error: Slow file delivery, high egress costs
Source: Vercel Blob best practices
Why It Happens: Using access: 'private' for files that should be public
Prevention: Use access: 'public' for publicly accessible files (CDN caching).
Error: Only first 1000 files returned, missing files
Source: https://vercel.com/docs/storage/vercel-blob/using-blob-sdk#list
Why It Happens: Not iterating with cursor for large file lists
Prevention: Use cursor-based pagination in loop until cursor is undefined.
Error: Files not deleted, storage quota fills up
Source: https://github.com/vercel/storage/issues/150
Why It Happens: Using wrong URL format, blob not found
Prevention: Use full blob URL from put() response, check deletion result.
Error: Error: Request timeout for files >100MB (server) OR file upload fails at 4.5MB (serverless function limit)
Source: Vercel function timeout limits + 4.5MB serverless limit + Community Discussion
Why It Happens:
put() in server actions/API routes fails for files >4.5MB.Prevention: Use client-side upload with handleUpload() for files >4.5MB OR use multipart upload.
// ❌ Server-side upload fails at 4.5MB
export async function POST(request: Request) {
const formData = await request.formData();
const file = formData.get('file') as File; // Fails if >4.5MB
await put(file.name, file, { access: 'public' });
}
// ✅ Client upload bypasses 4.5MB limit (supports up to 500MB)
const blob = await upload(file.name, file, {
access: 'public',
handleUploadUrl: '/api/upload/token',
multipart: true, // For files >500MB, use multipart
});
Error: Files overwritten, data loss
Source: Production debugging
Why It Happens: Using same filename for multiple uploads
Prevention: Add timestamp/UUID: `uploads/${Date.now()}-${file.name}` or addRandomSuffix: true.
Error: Upload completes but app state not updated
Source: https://vercel.com/docs/storage/vercel-blob/client-upload#callback-after-upload
Why It Happens: Not implementing onUploadCompleted callback
Prevention: Use onUploadCompleted in handleUpload() to update database/state.
Error: Error: Access denied, please provide a valid token for this resource
Source: GitHub Issue #443
Why It Happens: Default token expires after 30 seconds. Large files (>100MB) take longer to upload, causing token expiration before validation.
Prevention: Set validUntil parameter for large file uploads.
// For large files (>100MB), extend token expiration
const jsonResponse = await handleUpload({
body,
request,
onBeforeGenerateToken: async (pathname) => {
return {
maximumSizeInBytes: 200 * 1024 * 1024,
validUntil: Date.now() + 300000, // 5 minutes
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
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ailabs-393/ai-labs-claude-skills
vercel-blob reduced setup friction for our internal harness; good balance of opinion and flexibility.
vercel-blob has been reliable in day-to-day use. Documentation quality is above average for community skills.
vercel-blob has been reliable in day-to-day use. Documentation quality is above average for community skills.
vercel-blob reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added vercel-blob from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
vercel-blob fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
vercel-blob has been reliable in day-to-day use. Documentation quality is above average for community skills.
vercel-blob reduced setup friction for our internal harness; good balance of opinion and flexibility.
vercel-blob reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added vercel-blob from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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