Is this suitable for microservices architecture?

Yes, Temporal is a leading choice for orchestrating logic across multiple microservices, and this skill provides the necessary Python implementation patterns.

Can I configure custom retry policies with this skill?

Absolutely. The skill includes patterns for handling ActivityError and defining specific RetryPolicy parameters for resilient task execution.

How does this skill improve Temporal development?

It provides Claude with context-specific knowledge of the Temporal Python SDK, ensuring it generates correct async patterns, activity definitions, and worker setups.

What is Temporal Python orchestration?

It is a framework for building reliable, stateful applications in Python that automatically handle retries and state management across distributed systems.

Does this skill support workflow signals and queries?

Yes, it includes specific patterns for implementing signals to send data to running workflows and queries to retrieve current workflow state.

Temporal Python Workflow Orchestrator

Name: Temporal Python Workflow Orchestrator
Author: martinffx

bymartinffx

•

Cloud Infrastructure

Implements durable, distributed workflow orchestration using the Python Temporal SDK for resilient system design.

This skill provides Claude with expert-level patterns for the Temporal Python SDK, enabling the creation of reliable, stateful distributed systems. It covers everything from worker configuration and activity implementation to advanced workflow features like signals, queries, and complex retry policies. By providing standardized code structures for long-running processes, this skill helps developers build fault-tolerant applications that can survive infrastructure failures and manage complex business logic across microservices.

Key Features

01Comprehensive error handling for distributed systems

02Templates for starting and managing workflow execution

03Stateful workflow orchestration using signals and queries

04Async activity implementation with robust retry policy support

05Standardized worker and task queue configuration patterns

066 GitHub stars

Use Cases

01Orchestrating complex microservice interactions with guaranteed execution

02Managing long-running business processes like order fulfillment or user onboarding

03Implementing fault-tolerant background task processing and scheduling

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add martinffx/claude-code-atelier atelier-python-temporal

For use in Claude.ai and ChatGPT

Download Skill