Execute Vercel secondary workflow: Edge Functions. Use when API routes with minimal latency, or complementing primary workflow. Trigger with phrases like "vercel edge function", "deploy edge function with vercel".
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: vercel-edge-functions description: | Execute Vercel secondary workflow: Edge Functions. Use when API routes with minimal latency, or complementing primary workflow. Trigger with phrases like "vercel edge function", "deploy edge function with vercel". allowed-tools: Read, Write, Edit, Bash(npm:*), Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io
Vercel Edge Functions
Overview
Build and deploy Edge Functions for ultra-low latency at the edge. Serverless functions that run close to users worldwide.
Prerequisites
- Completed
vercel-install-authsetup - Familiarity with
vercel-deploy-preview - Valid API credentials configured
Instructions
Step 1: Setup
// Step 1 implementation
Step 2: Process
// Step 2 implementation
Step 3: Complete
// Step 3 implementation
Output
- Completed Edge Functions execution
- Results from Vercel API
- Success confirmation or error details
Error Handling
| Aspect | Deploy Preview | Edge Functions |
|---|---|---|
| Use Case | Deploying a preview for a pull request | API routes with minimal latency |
| Complexity | Medium | Medium |
| Performance | Standard | Ultra-fast (<50ms) |
Examples
Complete Workflow
// Complete workflow example
Error Recovery
// Error handling code
Resources
Next Steps
For common errors, see vercel-common-errors.
More by jeremylongshore
View allRabbitmq Queue Setup - Auto-activating skill for Backend Development. Triggers on: rabbitmq queue setup, rabbitmq queue setup Part of the Backend Development skill category.
evaluating-machine-learning-models: This skill allows Claude to evaluate machine learning models using a comprehensive suite of metrics. It should be used when the user requests model performance analysis, validation, or testing. Claude can use this skill to assess model accuracy, precision, recall, F1-score, and other relevant metrics. Trigger this skill when the user mentions "evaluate model", "model performance", "testing metrics", "validation results", or requests a comprehensive "model evaluation".
building-neural-networks: This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").
Oauth Callback Handler - Auto-activating skill for API Integration. Triggers on: oauth callback handler, oauth callback handler Part of the API Integration skill category.
