cache-strategy-gen_skill

Overview

This skill provides AI-powered caching strategy suggestions for your API routes to improve performance and reduce backend load. Point it at your route files and get specific recommendations for what to cache, where to cache it, and sensible TTL values. It requires no configuration and runs with a single command using npx.

How this skill works

The tool analyzes your API route files to infer data patterns, access frequency, and personalization requirements. It maps each endpoint to recommended cache layers (CDN, Redis, in-memory) and proposes TTLs and invalidation hints. Recommendations account for freshness needs, user-specific content, and typical read/write patterns to avoid stale or unsafe caching.

When to use it

• API response times are consistently slow
• Your database is receiving repeated identical queries
• You plan to scale traffic and need to reduce backend load
• Designing caching for a new API or refactoring an existing one
• You want quick, actionable recommendations without manual analysis

Best practices

• Cache static and reference data aggressively with long TTLs
• Avoid caching personalized responses or apply per-user keys and short TTLs
• Design clear invalidation strategies for writes and updates
• Monitor cache hit/miss rates and adjust TTLs based on real traffic
• Prefer edge/CDN for public responses and Redis for shared, low-latency data

Example use cases

• Scan a full API folder to get a prioritized list of cache candidates and TTLs
• Analyze an individual route file to decide between CDN vs Redis caching
• Generate Redis-focused recommendations for session or leaderboard data
• Plan an invalidation approach when introducing writes that update cached records
• Quickly estimate performance improvements before rolling out caching changes