Code Improvement

Caching and Performance Architecture Planner

Design caching strategies with keys, invalidation, consistency, TTLs, stampede protection, observability, and performance tests.

Last updated Jul 11, 2026

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TL;DR

Caching and Performance Architecture Planner is a free AI skill for code improvement. Design caching strategies with keys, invalidation, consistency, TTLs, stampede protection, observability, and performance tests. It works with Claude, ChatGPT, Cursor and is ready to use out of the box.

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About this skill

Caching and Performance Architecture Planner helps teams improve latency and scale without creating stale-data, authorization, or invalidation failures. It defines cache layers, eligibility, keys, TTLs, consistency, invalidation, warming, stampede protection, failure behavior, metrics, and rollout.

What it does

The skill analyzes workloads, read and write patterns, data volatility, tenant boundaries, user impact, and consistency needs; chooses appropriate cache layers; defines correctness and failure behavior; and produces implementation, testing, monitoring, and rollback guidance.

What is included

Performance bottleneck model
Cache layer selection
Key and namespace design
TTL and invalidation rules
Consistency and failure behavior
Stampede protection
Metrics and alerting
Test and rollout plan

How to use it

1. Download the caching-and-performance-architecture-planner-SKILL.md file
2. Upload it to your engineering workspace
3. Provide workload, latency, consistency, and infrastructure details
4. Add current metrics and failure history
5. Use the design to implement and verify caching safely

Examples

Example input

Design caching for a SaaS dashboard with expensive analytics queries, user-specific permissions, shared reference data, and frequently updated project status.

Example output

A layered caching plan with CDN, application, and Redis usage, cache keys, permission boundaries, TTLs, invalidation, stale-while-revalidate, stampede protection, metrics, tests, and rollout.

FAQ

What is this skill for?

It designs safe caching and performance strategies for applications and APIs.

Can it decide what should be cached?

Yes. It evaluates cost, frequency, volatility, consistency, and user impact.

How does it handle invalidation?

It defines event, write-through, versioned-key, TTL, and manual invalidation patterns where appropriate.

Can it prevent cache stampedes?

Yes. It can use locking, request coalescing, jitter, stale serving, and background refresh.

Does it include tenant isolation?

Yes. Keys and authorization boundaries must prevent cross-tenant data exposure.

How is this different from adding Redis?

It defines correctness, ownership, keys, invalidation, metrics, testing, and failure behavior.

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