Execute Vercel major re-architecture and migration strategies with strangler fig pattern. Use when migrating to or from Vercel, performing major version upgrades, or re-platforming existing integrations to Vercel. Trigger with phrases like "migrate vercel", "vercel migration", "switch to vercel", "vercel replatform", "vercel upgrade major".
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: vercel-migration-deep-dive description: | Execute Vercel major re-architecture and migration strategies with strangler fig pattern. Use when migrating to or from Vercel, performing major version upgrades, or re-platforming existing integrations to Vercel. Trigger with phrases like "migrate vercel", "vercel migration", "switch to vercel", "vercel replatform", "vercel upgrade major". allowed-tools: Read, Write, Edit, Bash(npm:), Bash(node:), Bash(kubectl:*) version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io
Vercel Migration Deep Dive
Prerequisites
- Current system documentation
- Vercel SDK installed
- Feature flag infrastructure
- Rollback strategy tested
Instructions
Step 1: Assess Current State
Document existing implementation and data inventory.
Step 2: Build Adapter Layer
Create abstraction layer for gradual migration.
Step 3: Migrate Data
Run batch data migration with error handling.
Step 4: Shift Traffic
Gradually route traffic to new Vercel integration.
Output
- Migration assessment complete
- Adapter layer implemented
- Data migrated successfully
- Traffic fully shifted to Vercel
Error Handling
See {baseDir}/references/errors.md for comprehensive error handling.
Examples
See {baseDir}/references/examples.md for detailed examples.
Resources
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.
