Vercel Kv
ListedAccess and manage data stored in your Jackspace Vercel KV store directly within the AI agent's environment.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add jackspace/claudeskillz --skill vercel-kv -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
jackspace
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: xyz.kv.vercel-storage.com.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
Hosts contacted
xyz.kv.vercel-storage.comundeclaredWhat it found
- skills/vercel-kv/SKILL.json:11contacts xyz.kv.vercel-storage.com
"content": "**Status**: Production Ready\r\n**Last Updated**: 2025-10-29\r\n**Dependencies**: None\r\n**Latest Versions**: `@vercel/[email protected]`\r\n\r\n---\r\n\r\…
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned jackspace/claudeskillz at aef4e299d1.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- aef4e299d1
- Manifest
- skills/vercel-kv/SKILL.md
- Scanned
- 3 files, 729 lines
About this skill
What it does
This skill provides access to Vercel KV, a serverless key-value database. It allows AI agents to store and retrieve data persistently within the Vercel environment. This enables agents to maintain state across interactions and share information between different tasks or deployments.
When to use it
- Maintaining session state: Store user preferences or progress in an application.
- Caching frequently accessed data: Reduce latency by storing results of expensive computations.
- Sharing data between AI agent components: Facilitate communication and coordination among different parts of a complex agent system.
- Storing configuration settings: Manage environment-specific configurations for your applications.
Key capabilities
- Access to Vercel KV storage
- Persistent data storage within the Vercel ecosystem
- Key-value data retrieval and updates
Example prompts
- "Store the user's name as 'username' with a value of 'Alice'."
- "Retrieve the value associated with the key 'product_id'."
- "Update the value of 'last_login' to the current timestamp."
Tips & gotchas
- Requires a Vercel account and project configured with Vercel KV.
- Be mindful of Vercel KV’s usage limits and pricing.