Vercel Blob

What it does

This skill enables AI agents to interact with Vercel Blob, a serverless object storage solution. It allows agents to upload files, retrieve data, and manage assets directly within the Vercel ecosystem without requiring manual API key configuration in every prompt.

When to use it

• Storing generated images or documents created by an AI agent for later retrieval or sharing.
• Fetching user-uploaded media from a Vercel-hosted bucket to process or analyze.
• Automating asset management workflows, such as deleting old logs or organizing file structures.
• Integrating with Vercel deployments to serve dynamic content stored in Blob storage.

Key capabilities

• Upload files to Vercel Blob buckets programmatically.
• Retrieve and download stored assets by key or URL.
• List contents within a specific bucket for inventory checks.
• Delete objects or entire folders from storage.
• Handle large file transfers with built-in streaming support.

Example prompts

"Upload this generated report PDF to my Vercel Blob bucket named 'reports'." "List all image files currently stored in the 'assets' bucket and show me their sizes." "Delete any log files older than 30 days from the 'temp-logs' folder in my storage."

Tips & gotchas

Ensure your AI agent has valid authentication credentials (API keys or tokens) configured before attempting operations, as unauthorized access will fail immediately. Be mindful of bucket permissions; private buckets require proper authorization headers to read or write data successfully.