Why is determinism critical for workflow orchestration?

Determinism ensures that a workflow's execution can be replayed from event history to restore its state exactly as it was before a failure or interruption.

What is the main difference between a Workflow and an Activity?

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

When should I avoid using workflow orchestration?

Workflow orchestration is often overkill for simple CRUD operations, stateless request/response APIs, or pure real-time data streaming where tools like Kafka are more appropriate.

How does this skill help with distributed transactions?

It provides implementation patterns for the Saga pattern, which allows you to register compensating actions for each step in a process to ensure graceful rollbacks during partial failures.

Workflow Orchestration Patterns

Name: Workflow Orchestration Patterns
Author: HermeticOrmus

byHermeticOrmus

API 开发

Implements resilient, distributed workflows using Temporal orchestration patterns and best practices for reliable systems.

关于

This skill equips Claude with specialized architectural knowledge to design and implement durable, long-running workflows using Temporal. It provides deep guidance on separating orchestration logic (Workflows) from external interactions (Activities), ensuring system determinism, and implementing robust error-handling patterns like Sagas for distributed transactions. It is particularly useful for developers building microservices, complex business processes, or infrastructure automation that requires guaranteed state persistence and failure recovery across distributed environments.

主要功能

Temporal-based workflow and activity design guidance
Fault-tolerance patterns including retries, heartbeats, and idempotency
Scalability patterns like Fan-out/Fan-in and entity-based workflows
0 GitHub stars
Saga pattern implementation for distributed transactions and compensation logic
Deterministic state management and versioning strategies

使用场景

Designing a distributed payment processing system with rollback capabilities
Building long-lived entity lifecycles for user accounts or shopping carts
Orchestrating multi-step infrastructure deployments and CI/CD pipelines

关于

主要功能

Temporal-based workflow and activity design guidance
Fault-tolerance patterns including retries, heartbeats, and idempotency
Scalability patterns like Fan-out/Fan-in and entity-based workflows
0 GitHub stars
Saga pattern implementation for distributed transactions and compensation logic
Deterministic state management and versioning strategies

使用场景

Designing a distributed payment processing system with rollback capabilities
Building long-lived entity lifecycles for user accounts or shopping carts
Orchestrating multi-step infrastructure deployments and CI/CD pipelines