Does this skill support database security?

Yes, it enforces the use of prepared statements for all Cloudflare D1 queries to prevent SQL injection vulnerabilities.

How does this skill handle API provider failures?

It implements a robust fallback chain and circuit breaker pattern that automatically switches to secondary providers or KV/D1 cache if the primary service fails.

When does this skill activate?

It triggers automatically when working on .worker.js, -api.ts, or -service.ts files, or when discussing API design and orchestration.

Can it manage complex background tasks?

Yes, it includes patterns for asynchronous API development, allowing for complex orchestration and migrations to run in the background.

Cloudflare API Orchestration

Name: Cloudflare API Orchestration
Author: jukasdrj

byjukasdrj

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API Development

Orchestrates multi-provider API calls and implements robust caching and database strategies for Cloudflare Workers.

About

This skill enables developers to build resilient Cloudflare Workers backends by enforcing standardized patterns for API orchestration, multi-provider fallbacks, and secure database operations. It automatically manages provider tagging, graceful degradation, and efficient D1/KV caching strategies, ensuring that backend services remain performant and reliable even when third-party APIs fail. By integrating circuit breakers and rate limiting, it provides a comprehensive framework for production-grade serverless infrastructure.

Key Features

Secure D1 database operations using prepared statements and batching
Efficient KV caching strategies with structured key naming
Standardized provider tagging for detailed response metadata
2 GitHub stars
Multi-provider API orchestration with automated fallback chains
Integrated circuit breaker and rate limiting patterns

Use Cases

Building resilient book metadata APIs that aggregate multiple sources
Implementing high-performance caching layers for serverless applications
Securing Cloudflare Workers against SQL injection and service outages

About

Key Features

Secure D1 database operations using prepared statements and batching
Efficient KV caching strategies with structured key naming
Standardized provider tagging for detailed response metadata
2 GitHub stars
Multi-provider API orchestration with automated fallback chains
Integrated circuit breaker and rate limiting patterns

Use Cases

Building resilient book metadata APIs that aggregate multiple sources
Implementing high-performance caching layers for serverless applications
Securing Cloudflare Workers against SQL injection and service outages