Execute identify and avoid Vercel anti-patterns and common integration mistakes. Use when reviewing Vercel code for issues, onboarding new developers, or auditing existing Vercel integrations for best practices violations. Trigger with phrases like "vercel mistakes", "vercel anti-patterns", "vercel pitfalls", "vercel what not to do", "vercel code review".
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: vercel-known-pitfalls description: | Execute identify and avoid Vercel anti-patterns and common integration mistakes. Use when reviewing Vercel code for issues, onboarding new developers, or auditing existing Vercel integrations for best practices violations. Trigger with phrases like "vercel mistakes", "vercel anti-patterns", "vercel pitfalls", "vercel what not to do", "vercel code review". allowed-tools: Read, Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io
Vercel Known Pitfalls
Prerequisites
- Access to Vercel codebase for review
- Understanding of async/await patterns
- Knowledge of security best practices
- Familiarity with rate limiting concepts
Instructions
Step 1: Review for Anti-Patterns
Scan codebase for each pitfall pattern.
Step 2: Prioritize Fixes
Address security issues first, then performance.
Step 3: Implement Better Approach
Replace anti-patterns with recommended patterns.
Step 4: Add Prevention
Set up linting and CI checks to prevent recurrence.
Output
- Anti-patterns identified
- Fixes prioritized and implemented
- Prevention measures in place
- Code quality improved
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.
