Supabase Performance Tuning

Prerequisites

• Supabase 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 Supabase 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 ${CLAUDE_SKILL_DIR}/references/errors.md for comprehensive error handling.

Examples

See ${CLAUDE_SKILL_DIR}/references/examples.md for detailed examples.

Resources

• Supabase Performance Guide
• DataLoader Documentation
• LRU Cache Documentation

Overview

Optimize Supabase API performance with caching, batching, and connection pooling.