Does this support long-running workflows?

Yes, the state-based architecture is designed specifically for workflows that may take anywhere from milliseconds to days to complete, persisting state at each transition.

When should I use Saga Orchestration instead of Choreography?

Orchestration is best for complex workflows with many steps where centralized control and visibility are required. Choreography is better for simpler flows where you want to keep services highly decoupled via events.

Is this skill specific to a particular programming language?

While the provided templates are in Python, the logic, state transitions, and architectural patterns are language-agnostic and can be applied to Go, Java, Node.js, or any backend stack.

How does this skill handle transaction failures?

It implements the 'compensating transaction' pattern, which triggers specific 'undo' actions for every successfully completed step when a subsequent step in the sequence fails.

Saga Orchestration Patterns

Name: Saga Orchestration Patterns
Author: drgaciw

bydrgaciw

API Development

Implements distributed transaction patterns and long-running business workflows in microservices architectures.

About

This skill provides Claude with standardized patterns and implementation templates for managing complex, multi-step business processes across distributed systems. It covers both Orchestration and Choreography saga patterns, enabling developers to maintain data consistency across services without the need for distributed locks. By utilizing state management and compensating transactions, this skill helps in building resilient systems that can gracefully handle partial failures and roll back complex operations automatically.

Key Features

Standardized state management for tracking long-running processes
Saga Orchestrator base templates for centralized workflow control
0 GitHub stars
Choreography-based event handling for decentralized service coordination
Automated compensation logic for robust error handling and rollbacks
Pre-built implementation patterns for common scenarios like order fulfillment

Use Cases

Implementing multi-stage approval workflows for enterprise compliance systems
Coordinating multi-service transactions in e-commerce and fintech applications
Ensuring data consistency across microservices during partial system failures

About

Key Features

Standardized state management for tracking long-running processes
Saga Orchestrator base templates for centralized workflow control
0 GitHub stars
Choreography-based event handling for decentralized service coordination
Automated compensation logic for robust error handling and rollbacks
Pre-built implementation patterns for common scenarios like order fulfillment

Use Cases

Implementing multi-stage approval workflows for enterprise compliance systems
Coordinating multi-service transactions in e-commerce and fintech applications
Ensuring data consistency across microservices during partial system failures