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", "vercel caching", "vercel slow", "vercel batch". allowed-tools: Read, Write, Edit version: 1.0.0 license: MIT author: Jeremy Longshore <jeremy@intentsolutions.io>
Allowed Tools
No tools specified
Provided by Plugin
vercel-pack
Claude Code skill pack for Vercel (30 skills)
Installation
This skill is included in the vercel-pack plugin:
/plugin install vercel-pack@claude-code-plugins-plusClick to copy
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.
## Resources
- [Vercel Performance Guide](https://vercel.com/docs/performance)
- [DataLoader Documentation](https://github.com/graphql/dataloader)
- [LRU Cache Documentation](https://github.com/isaacs/node-lru-cache)