Vercel Composition Patterns
OfficialOfficial supabase skill covering Supabase, Vercel, patterns for working with databases and data persistence.
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 supabase/supabase --skill vercel-composition-patterns -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
supabase
Matched to the vendor's own GitHub organisation.
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 supabase/supabase at 13de8189c9.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 13de8189c9
- Scanned
- 9 files, 909 lines
About this skill
What it does
This skill enables AI agents to implement Vercel's composition patterns, allowing them to dynamically compose and deploy serverless functions across different environments. It streamlines the integration of Supabase services with Next.js applications by managing complex deployment workflows and environment configurations automatically.
When to use it
- Deploying Next.js applications that require dynamic function composition for scalable backend logic.
- Integrating Supabase authentication or database triggers within a Vercel serverless architecture.
- Managing multi-environment deployments (development, staging, production) with consistent configuration patterns.
- Automating the setup of edge functions that interact with Supabase real-time subscriptions.
Key capabilities
- Dynamic composition of serverless functions for modular application architecture.
- Automated environment configuration management across deployment stages.
- Seamless integration between Supabase services and Vercel's edge network.
- Simplified deployment pipelines for Next.js applications using Supabase.
Example prompts
- "Compose a serverless function that triggers on new Supabase database rows and updates the Next.js frontend cache."
- "Set up a multi-environment deployment pipeline for my Next.js app using Vercel composition patterns with Supabase."
- "Create an edge function that handles authentication via Supabase Auth and returns user data to a React component."
Tips & gotchas
Ensure your project is initialized with the correct Supabase client libraries before attempting to compose functions. Be mindful of environment variable exposure, as Vercel composition patterns may require specific handling for sensitive keys across different deployment targets.