How does this skill help reduce Cloudflare costs?

It identifies high-cost patterns in D1 writes and R2 operations, suggesting batching and caching strategies to minimize billable operations.

Does this skill support D1 database optimization?

Yes, it includes patterns for batching writes and implementing KV-cache-first strategies to significantly reduce D1 row read and write counts.

Can it help with Worker subrequest limits?

Yes, it provides a specific pattern for decomposing monoliths into micro-workers using Service Bindings to handle complex request flows without hitting subrequest caps.

What are the triggers for using the Circuit Breaker pattern?

This pattern is recommended when calling external APIs without timeouts or when third-party failures cause cascading errors in your application.

Cloudflare Architecture Patterns

Name: Cloudflare Architecture Patterns
Author: littlebearapps

bylittlebearapps

クラウドインフラストラクチャ

Optimizes Cloudflare architectures through proven patterns for cost reduction, performance enhancement, and system resilience.

概要

This skill empowers Claude to act as a senior Cloudflare engineer by providing structured guidance on decomposing monolithic Workers, optimizing D1 database interactions, and implementing resilience patterns. It offers practical strategies to circumvent subrequest limits, lower operational costs for D1 and R2, and prevent cascading failures through circuit breakers, making it essential for building scalable, production-grade serverless applications on the Cloudflare platform.

主な機能

D1 database write optimization through batching strategies
Cost-reduction strategies for D1 reads and R2 operations via edge caching
0 GitHub stars
Decomposition of monolithic Workers using Service Bindings and RPC
Automated detection of architectural anti-patterns in Worker code
Implementation of circuit breaker patterns for external API resilience

ユースケース

Adding fault tolerance to a Worker that relies on unstable third-party external APIs
Reducing monthly Cloudflare D1 costs by implementing KV-first caching and batch inserts
Refactoring a large Worker script that is hitting the 1,000 subrequest limit

概要

主な機能

D1 database write optimization through batching strategies
Cost-reduction strategies for D1 reads and R2 operations via edge caching
0 GitHub stars
Decomposition of monolithic Workers using Service Bindings and RPC
Automated detection of architectural anti-patterns in Worker code
Implementation of circuit breaker patterns for external API resilience

ユースケース

Adding fault tolerance to a Worker that relies on unstable third-party external APIs
Reducing monthly Cloudflare D1 costs by implementing KV-first caching and batch inserts
Refactoring a large Worker script that is hitting the 1,000 subrequest limit