How does this skill handle transaction failures?

The skill focuses on designing compensating transactions—semantic 'undo' actions—that revert the effects of previous successful steps when a later step in the saga fails.

Why should I use Sagas instead of Two-Phase Commit (2PC)?

Two-Phase Commit is often a bottleneck in distributed systems due to its synchronous, blocking nature. Sagas offer better scalability and availability by using local transactions and asynchronous coordination.

Is this skill language-agnostic?

Yes. While the reference implementation uses C#, the architectural principles of Saga patterns, retries, and compensation logic are applicable to any distributed system regardless of the stack.

What is the difference between orchestration and choreography in this skill?

Orchestration uses a central coordinator to manage the saga's state and command services, while choreography relies on services reacting to events in a decentralized manner.

Saga Patterns Architect

Name: Saga Patterns Architect
Author: melodic-software

bymelodic-software

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API Development

Implements distributed transaction patterns using orchestration and choreography to ensure eventual consistency in microservices.

About

The Saga Patterns skill provides Claude with the specialized architectural knowledge required to design and implement complex, distributed transactions across microservice boundaries. By moving away from restrictive two-phase commits, this skill enables the creation of resilient workflows using both choreography and orchestration styles. It guides the development of forward-moving transactions alongside their corresponding compensating actions, ensuring that systems remain consistent even when individual steps fail. It is an essential tool for developers building high-scale systems that require robust error handling, idempotent operations, and clear state management.

Key Features

Configures advanced error handling including exponential backoff and circuit breakers
Designs centralized orchestration managers for complex workflow coordination
Generates idempotent compensating transaction logic for reliable system recovery
12 GitHub stars
Implements decentralized choreography patterns for loosely coupled event-driven systems
Provides structured templates for documenting saga triggers, steps, and failures

Use Cases

Managing distributed financial transactions that require high availability and eventual consistency
Architecting long-running business processes that span multiple independent microservices
Coordinating multi-service e-commerce checkouts involving payments, inventory, and shipping

About

Key Features

Configures advanced error handling including exponential backoff and circuit breakers
Designs centralized orchestration managers for complex workflow coordination
Generates idempotent compensating transaction logic for reliable system recovery
12 GitHub stars
Implements decentralized choreography patterns for loosely coupled event-driven systems
Provides structured templates for documenting saga triggers, steps, and failures

Use Cases

Managing distributed financial transactions that require high availability and eventual consistency
Architecting long-running business processes that span multiple independent microservices
Coordinating multi-service e-commerce checkouts involving payments, inventory, and shipping