How does this skill help with distributed transactions?

It provides patterns for the Saga Pattern, which allows you to register compensating actions for every step of a transaction to ensure safe rollbacks if a failure occurs mid-process.

Why is determinism required for workflow code?

Determinism is critical because Temporal recovers state by replaying workflow code; if the code produces different results on replay (e.g., due to random numbers or system time), the state cannot be restored.

When should I use workflow orchestration instead of simple CRUD?

Use orchestration for processes that span multiple services, require long-running state (hours to years), or need guaranteed execution despite infrastructure failures.

What is the primary difference between workflows and activities?

Workflows contain deterministic orchestration logic and decision-making, while activities handle non-deterministic external interactions like API calls, database writes, and network requests.

Workflow Orchestration Patterns

Name: Workflow Orchestration Patterns
Author: GaitanS

byGaitanS

API Development

Architects resilient, long-running distributed systems using Temporal workflow principles and fault-tolerant design patterns.

About

This skill provides specialized guidance for designing durable distributed systems with a focus on Temporal. It enables Claude to assist developers in separating deterministic orchestration logic from side-effect-prone activities, implementing Saga patterns for distributed transactions, and managing complex state across long-running processes. Whether you are building payment gateways, infrastructure automation, or multi-step business workflows, this skill ensures your system remains reliable, recoverable, and scalable by adhering to strict determinism and idempotency constraints.

Key Features

0 GitHub stars
Implementation of Saga patterns for distributed transaction rollbacks
Parallel execution management via Fan-out/Fan-in patterns
Strict separation of deterministic workflows and idempotent activities
Long-lived entity workflow design using the Actor model
Automatic state preservation and failure recovery strategies

Use Cases

Automating complex infrastructure deployments with human-in-the-loop approvals
Developing multi-step payment processing systems with automated refunds
Managing high-consistency entity lifecycles for shopping carts or bank accounts

About

Key Features

0 GitHub stars
Implementation of Saga patterns for distributed transaction rollbacks
Parallel execution management via Fan-out/Fan-in patterns
Strict separation of deterministic workflows and idempotent activities
Long-lived entity workflow design using the Actor model
Automatic state preservation and failure recovery strategies

Use Cases

Automating complex infrastructure deployments with human-in-the-loop approvals
Developing multi-step payment processing systems with automated refunds
Managing high-consistency entity lifecycles for shopping carts or bank accounts