How does this skill assist with Cloudflare Workers development?

It provides Claude with domain-specific knowledge about the Workers runtime, including specific code patterns for bindings, service orchestration, and handling platform-specific limitations like CPU time and memory.

Does it support the latest Wrangler configuration?

Yes, it includes up-to-date guidance for wrangler.toml configurations, including the new Workers Assets feature and Node.js compatibility flags.

Which Cloudflare storage services are covered?

The skill includes detailed guidance for KV (Key-Value), D1 (SQL Database), R2 (Object Storage), and Vectorize (Vector Database).

Can it help me test my Workers scripts?

Absolutely. It provides implementation examples for Vitest using the @cloudflare/vitest-pool-workers package to ensure your edge functions are reliable.

Cloudflare Workers Development

Name: Cloudflare Workers Development
Author: biwakonbu

bybiwakonbu

Cloud Infrastructure

Provides comprehensive guidance and best practices for developing, deploying, and managing serverless edge functions on Cloudflare Workers.

About

This skill equips Claude with deep technical expertise to build high-performance applications on the Cloudflare Workers platform. It covers the entire development lifecycle, from architecture patterns using V8 Isolates to advanced configurations for storage bindings like KV, D1, and R2. By utilizing this skill, Claude can assist with implementing service-to-service communication, scheduling background tasks with Cron Triggers, and managing static assets, all while adhering to the platform's unique runtime constraints and security model.

Key Features

Architecture guidance for V8 Isolates and edge performance optimization
Implementation patterns for Service Bindings and Cron Triggers
Testing strategies using Vitest and Cloudflare's test environment
Comprehensive configuration for KV, D1, R2, and Vectorize bindings
Node.js compatibility and modern ES Modules support
0 GitHub stars

Use Cases

Orchestrating background processing and scheduled maintenance tasks
Building low-latency global REST APIs and edge middleware
Integrating AI and vector search capabilities directly into edge functions

About

Key Features

Architecture guidance for V8 Isolates and edge performance optimization
Implementation patterns for Service Bindings and Cron Triggers
Testing strategies using Vitest and Cloudflare's test environment
Comprehensive configuration for KV, D1, R2, and Vectorize bindings
Node.js compatibility and modern ES Modules support
0 GitHub stars

Use Cases

Orchestrating background processing and scheduled maintenance tasks
Building low-latency global REST APIs and edge middleware
Integrating AI and vector search capabilities directly into edge functions