workflow-orchestration-patterns

Design durable workflow orchestration for distributed systems with retries and compensation.

Updated Apr 5, 2026
One-click install
npx skills add https://github.com/Jhabbig/Habbig --skill workflow-orchestration-patterns-jhabbig
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: workflow-orchestration-patterns
Source: https://github.com/Jhabbig/Habbig/tree/main/.claude/plugins/wshobson/backend-development/skills/workflow-orchestration-patterns
Command: npx skills add https://github.com/Jhabbig/Habbig --skill workflow-orchestration-patterns-jhabbig

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you design durable orchestration for complex distributed processes that must survive retries, partial failures, long waits, and service boundaries.

Core Features & Use Cases

  • Workflow vs Activity Separation: Clarifies what belongs in orchestration logic versus external side effects.
  • Saga and Compensation Patterns: Supports rollback-safe multi-step processes when one step fails.
  • Stateful Distributed Process Design: Covers entity workflows, fan-out/fan-in execution, async callbacks, retries, heartbeats, and version-safe workflow changes.
  • Use Case: Use it to model order fulfillment, bookings, approvals, provisioning pipelines, account lifecycles, or any business process that needs dependable recovery and consistency.

Quick Start

Ask the assistant to design a Temporal workflow for your distributed process, including the workflow-activity split, compensation steps, retry strategy, and determinism safeguards.

Frequently Asked Questions about workflow-orchestration-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design a saga pattern with compensation handling for distributed microservices?

Design a saga pattern with compensation handling by separating deterministic orchestration logic from external side effects and defining rollback steps for each activity. This ensures your distributed microservices process can safely recover and maintain consistency when partial failures occur.

What is the best way to handle idempotency and retries in long-running workflow orchestration?

Handle idempotency and retries in workflow orchestration by isolating external side effects into activities with automatic state preservation and configurable retry strategies. This guarantees durable execution and prevents duplicate side effects during long-running business processes.

When do I need deterministic workflow logic for Temporal workflows?

You need deterministic workflow logic for Temporal workflows when orchestrating long-running distributed processes that must survive service boundaries and long waits. Determinism ensures automatic state preservation and reliable recovery during retries or partial failures.

Does this approach support fan-out/fan-in execution and asynchronous callbacks?

Yes, this approach supports fan-out/fan-in execution and asynchronous callback scenarios across microservices and human approvals. It models entity workflows and stateful distributed processes to handle complex execution patterns safely.

How do I ensure version-safe evolution when updating business process workflows?

Ensure version-safe evolution of business process workflows by designing durable orchestration with deterministic logic and clear separation between workflow and activity code. This allows you to update long-running processes without breaking in-flight executions.

Why does my distributed workflow fail to maintain consistency across service boundaries?

Distributed workflows fail to maintain consistency across service boundaries without durable orchestration. Implementing automatic state preservation, heartbeats, and compensation patterns ensures your long-running business processes survive partial failures and service outages.