Agent Builder Vercel Sdk
CheckedProvides Vercel guidance and assistance for orchestrating AI agents and multi-step workflows.
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 fernandofuc/nextjs-c-s --skill agent-builder-vercel-sdk -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
fernandofuc
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 fernandofuc/nextjs-claude-setup at 51264cb573.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 51264cb573
- Scanned
- 1 file, 341 lines
About this skill
What it does
The agent-builder-vercel-sdk skill provides tools and components for building AI agents using Vercel's platform. It simplifies the process of deploying agent applications, managing their lifecycle, and integrating them with other services within the Vercel ecosystem. This SDK allows developers to rapidly prototype and deploy agents without needing extensive infrastructure knowledge.
When to use it
- Rapid Agent Prototyping: Quickly build and test AI agent concepts on a live Vercel deployment.
- Serverless Agent Functions: Deploy individual agent functions as serverless endpoints for scalability and cost efficiency.
- Integrating with Vercel Services: Seamlessly connect your agents to other Vercel features like Edge Functions or Durable Functions.
- Simplified Deployment Pipelines: Automate the deployment of agent applications using Vercel's CI/CD capabilities.
Key capabilities
- Agent application scaffolding
- Serverless function deployment for agents
- Integration with Vercel’s platform and services
- Lifecycle management tools for deployed agents
Example prompts
- "Deploy this agent function to Vercel."
- "Create a new agent app using the Vercel SDK."
- "Update the environment variables for my deployed agent."
Tips & gotchas
- Requires familiarity with Vercel's deployment process and concepts.
- Ensure your agent functions are designed to be stateless for optimal serverless performance.