Vercel Kv
CheckedAutomates Vercel deployment tasks and manages KV data stores using a streamlined, efficient workflow.
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 ovachiever/droid-tings --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
ovachiever
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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
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 undeclared network calls: passed
Makes no network calls.
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.
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 ovachiever/droid-tings at 7acd12a754.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 7acd12a754
- Manifest
- skills/vercel-kv/SKILL.md
- Scanned
- 9 files, 1,436 lines
About this skill
What it does
The vercel-kv skill provides access to Vercel KV, a serverless key-value database. It allows AI agents to store and retrieve data persistently without managing traditional databases. This enables features like remembering user preferences across sessions or caching frequently accessed information for faster responses.
When to use it
- User Profile Persistence: Store user settings or progress in a game between interactions with the agent.
- Caching Frequently Accessed Data: Store API responses or other data that is expensive to retrieve repeatedly.
- Session Management: Maintain state information across multiple turns of a conversation.
- Storing Agent Knowledge Base: Provide a simple way for the agent to store and recall facts or rules.
Key capabilities
- Read from Vercel KV stores
- Write to Vercel KV stores
- Delete data from Vercel KV stores
Example prompts
- "Store my favorite color as 'blue' in the user preferences."
- "What is the current weather for London, and store it under the key 'weather_london'?"
- "Retrieve the value associated with the key 'last_visited_page'."
Tips & gotchas
- Requires a Vercel account and access to a Vercel KV namespace. Ensure your agent has the necessary credentials configured.