Why should I use pywrangler instead of standard wrangler?

As of late 2025, pywrangler is the recommended tool for enabling external package deployment for Python Workers, bypassing earlier restrictions on requirements.txt.

Can I use any Python package with Cloudflare Workers?

You can use pure Python packages from PyPI and those pre-built for Pyodide. Native C extensions that aren't specifically compiled for WebAssembly are currently not supported.

Is the legacy 'on_fetch' handler still used?

No, modern Python Workers utilize the 'WorkerEntrypoint' class-based pattern for managing handlers and accessing environment bindings via self.env.

What are Python Workflows?

Python Workflows allow for durable, multi-step automation with automatic retries and state persistence, using a decorator-based pattern to define step dependencies.

Does this skill support synchronous libraries like 'requests'?

No, Cloudflare Workers run in an async-only environment. This skill helps you implement asynchronous alternatives like 'httpx' or 'aiohttp' to avoid runtime errors.

Cloudflare Python Workers

Name: Cloudflare Python Workers
Author: ma1orek

byma1orek

0•

API 开发

Builds, deploys, and optimizes Python-based serverless APIs on Cloudflare Workers using the modern WorkerEntrypoint pattern and pywrangler.

This skill empowers developers to build high-performance Python APIs at the edge using Cloudflare Workers and the Pyodide runtime. It streamlines the development lifecycle—from project initialization with uv and pywrangler to deploying complex multi-step Workflows. By enforcing the latest WorkerEntrypoint class patterns and managing asynchronous dependencies, it eliminates common pitfalls such as synchronous execution errors and legacy handler issues, ensuring your Python edge functions are production-ready, scalable, and fully integrated with Cloudflare services like D1, KV, and Workers AI.

主要功能

01Deployment of Python APIs with external PyPI package support via pywrangler CLI.

020 GitHub stars

03Automatic error prevention for synchronous library calls and legacy handler patterns.

04Seamless integration with Cloudflare Bindings including D1, KV, R2, and Workers AI.

05Implementation of multi-step, durable Python Workflows with DAG dependency management.

06Standardized WorkerEntrypoint class pattern for robust request/response handling and binding access.

使用场景

01Developing serverless AI applications using Cloudflare Workers AI and Python.

02Migrating existing Python microservices to the Cloudflare edge for lower latency.

03Building complex, stateful automation tasks using durable Python Workflows.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ma1orek/replay cloudflare-python-workers

For use in Claude.ai and ChatGPT

Download Skill