vercel-performance-tuning
Optimize Vercel API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Vercel integrations. Trigger with phrases like "vercel performance", "optimize vercel", "vercel latency",...
SKILL.md
Full skill instructions
Vercel Performance Tuning
Prerequisites
- Vercel SDK installed
- Understanding of async patterns
- Redis or in-memory cache available (optional)
- Performance monitoring in place
Instructions
Step 1: Establish Baseline
Measure current latency for critical Vercel operations.
Step 2: Implement Caching
Add response caching for frequently accessed data.
Step 3: Enable Batching
Use DataLoader or similar for automatic request batching.
Step 4: Optimize Connections
Configure connection pooling with keep-alive.
Output
- Reduced API latency
- Caching layer implemented
- Request batching enabled
- Connection pooling configured
Error Handling
See {baseDir}/references/errors.md for comprehensive error handling.
Examples
See {baseDir}/references/examples.md for detailed examples.