workflow-orchestration-patterns

Overview of workflow-orchestration-patterns skill

The workflow-orchestration-patterns skill helps you design durable, failure-tolerant workflows for distributed systems, especially when you are using or evaluating Temporal. It is best for engineers and AI agents working on multi-step business processes, distributed transactions, long-running jobs, approvals, provisioning flows, and service orchestration where retries, resumability, and compensation matter.

What this skill is actually for

Use the workflow-orchestration-patterns skill when your real problem is not “write some async code,” but “model a process that survives failures, restarts, and long wait times without losing state.” It focuses on the architecture choices that usually break first: workflow vs activity boundaries, determinism, state handling, and saga-style compensation.

Who should install it

This skill is a strong fit for:

• Backend engineers designing Temporal workflows
• Teams migrating brittle cron/job chains into durable orchestration
• AI-assisted system design sessions for order, booking, approval, or provisioning flows
• Architects deciding whether a process belongs in workflow orchestration at all

What makes it different from a generic backend prompt

A normal prompt may produce “workflow-like” code but miss Temporal-specific constraints. The workflow-orchestration-patterns skill is more useful because it pushes the right design questions early:

• Should this step be a workflow or an activity?
• Does the process need compensation logic?
• Will long waits, retries, or partial failures happen?
• Is the proposed logic deterministic enough for workflow execution?

That changes design quality more than code style does.

Best-fit jobs-to-be-done

Reach for workflow-orchestration-patterns for Workflow Automation when you need to:

• Coordinate multiple services with recovery guarantees
• Resume after crashes without manual repair
• Model approval or timeout-heavy flows
• Design distributed transactions with compensation instead of database locking
• Separate durable orchestration logic from side-effecting work

When this skill is a poor fit

Do not install workflow-orchestration-patterns just to wrap simple CRUD endpoints or short stateless request/response flows in extra ceremony. It is also not the right skill for pure batch/data pipelines or real-time event streaming systems where other tools and patterns fit better.

How to Use workflow-orchestration-patterns skill

Install the workflow-orchestration-patterns skill

If you use the Skills CLI pattern from the repository, install it with:

npx skills add https://github.com/wshobson/agents --skill workflow-orchestration-patterns

Then invoke it from your AI workflow by naming the skill and giving it a concrete orchestration problem, not just a vague request for “Temporal code.”

Read this file first

Start with:

• plugins/backend-development/skills/workflow-orchestration-patterns/SKILL.md

This skill is self-contained. There are no helper scripts or companion reference folders in the file tree, so most of the value is in the design guidance inside SKILL.md.

Know what input the skill needs

The workflow-orchestration-patterns usage quality depends heavily on the process description you provide. Give the model:

• The business goal
• The ordered steps
• Which steps touch external systems
• Failure and retry expectations
• Timeout windows
• Compensation requirements
• Human approval or waiting points
• Idempotency assumptions
• Scale and latency constraints

Without that, the output will stay generic.

Turn a rough goal into a usable prompt

Weak prompt:

“Design a Temporal workflow for orders.”

Stronger prompt:

“Use the workflow-orchestration-patterns skill to design a Temporal workflow for order fulfillment. Steps: reserve inventory, authorize payment, create shipment, send confirmation. Inventory and payment are separate external services. If shipment creation fails after payment succeeds, define compensation. Orders may wait up to 48 hours for fraud review. We need resumability, retry guidance, workflow/activity boundaries, and determinism cautions.”

That stronger version gives the skill enough structure to produce an architecture instead of loose advice.

Ask for workflow vs activity separation explicitly

One of the main reasons to use workflow-orchestration-patterns is to avoid mixing orchestration logic with side effects. In your prompt, ask the model to classify each step as:

• Workflow logic
• Activity
• Signal/query
• Child workflow
• Compensation step

This forces a clearer design and reduces one of the most common Temporal modeling mistakes.

Use it early in design, not only after code exists

This skill creates the most value before implementation. Use it to shape:

• Process boundaries
• Retry ownership
• Timeout design
• State transitions
• Compensation strategy
• Long-running wait behavior

If you wait until after code is written, the skill becomes a review tool instead of a design accelerator.

Request determinism checks

Temporal-style workflow systems punish hidden nondeterminism. When using workflow-orchestration-patterns install output in real projects, ask the model to review your plan for:

• Randomness
• Current time usage
• Network calls inside workflows
• Direct DB access from workflow code
• Mutable global state
• Versioning risks during workflow evolution

This is where the skill has more practical value than a standard architecture prompt.

Ask for failure paths, not just happy paths

A good workflow-orchestration-patterns guide prompt should include “show failure branches.” Specifically ask for:

• Retries per step
• Non-retryable failures
• Compensation ordering
• Timeout handling
• Dead-letter or manual intervention points
• Resume behavior after worker restart

If you only ask for the happy path, you miss the reason to use orchestration in the first place.

Suggested prompt template

Use a structure like this:

• “Use the workflow-orchestration-patterns skill.”
• “Goal: [business process].”
• “Steps: [ordered list].”
• “External side effects: [APIs, DBs, queues, emails, payments].”
• “Long waits: [yes/no, duration, why].”
• “Failure rules: [what must retry, what must compensate, what can fail permanently].”
• “Output format: workflow/activity split, saga design, state model, determinism risks, and implementation notes.”

Practical repository-reading path

Because the repository only exposes SKILL.md for this skill, a fast review path is:

1. Read the “When to Use Workflow Orchestration” section.
2. Read the “When NOT to Use” section.
3. Focus on the workflow vs activity design decision.
4. Then inspect resilience and compensation guidance.

That sequence helps you decide fit before you spend time on implementation details.

What good output should look like

A strong result from workflow-orchestration-patterns usage should give you:

• A clear orchestration boundary
• Per-step placement as workflow or activity
• A compensation model where needed
• Explicit handling for timeouts and retries
• Determinism constraints called out plainly
• Cases where Temporal is the wrong tool

If the output is only “here is a sample workflow,” ask for architectural reasoning, not more code.

workflow-orchestration-patterns skill FAQ

Is workflow-orchestration-patterns only for Temporal users?

Mostly, yes. The concepts can transfer to other durable workflow systems, but the skill is clearly optimized around Temporal-style orchestration principles such as deterministic workflows and separating orchestration from side effects.

Is this skill good for beginners?

Yes, if you already understand APIs, retries, and distributed system failures. It is not a full beginner tutorial on Temporal, but it is useful for learning the decisions that matter most before writing workflow code.

How is this better than asking an AI for Temporal examples?

Generic prompts often over-focus on syntax and under-focus on orchestration boundaries. The workflow-orchestration-patterns skill is more valuable when you need durable design decisions, compensation logic, and “should this even be a workflow?” judgment.

When should I not use workflow-orchestration-patterns?

Skip it for:

• Simple CRUD endpoints
• Short stateless API handlers
• Pure ETL or batch pipelines
• Real-time stream processing
• Problems with no meaningful retry/resume/compensation need

Does it help with saga patterns?

Yes. This is one of the clearest reasons to use workflow-orchestration-patterns for Workflow Automation. If your process spans services and cannot rely on a single ACID transaction, ask the skill to propose a compensation sequence and failure policy.

Will this skill generate production-ready code?

Not by itself. It is strongest as an architecture and prompt-shaping aid. Use it to produce workflow structure, boundaries, and failure handling plans, then implement with your language SDK and repo standards.

How to Improve workflow-orchestration-patterns skill

Give step-by-step process detail

The fastest way to improve workflow-orchestration-patterns output is to replace abstract business labels with concrete steps. “Onboard customer” is weak. “Create account, verify email, wait for KYC, provision tenant, send welcome email” is strong.

Name side effects and ownership

Tell the skill which steps call external systems and who owns them. For example:

• Payment gateway
• Shipping API
• Internal inventory service
• Human review queue

This helps the model place side effects into activities and avoid unsafe workflow logic.

Specify compensation rules upfront

If undo logic exists, state it directly. Example:

• If payment succeeds and inventory reservation fails, refund payment
• If account provisioning succeeds but policy binding fails, deprovision account

This produces much better saga designs than asking for compensation after the first draft.

Include time and waiting behavior

Long waits are a major reason to use orchestration. Tell the skill whether your process waits minutes, days, or months, and what should happen during timeout, escalation, or cancellation. That materially changes the proposed design.

Ask for edge cases in the first pass

To improve the workflow-orchestration-patterns guide output, request edge cases immediately:

• duplicate requests
• partial success
• external service outage
• retry exhaustion
• manual approval timeout
• workflow cancellation

This prevents a shallow happy-path answer.

Common failure mode: over-orchestrating simple work

A frequent mistake is using the skill on processes that do not need durable orchestration. If the output feels heavier than the problem, ask the model to justify why Temporal is warranted versus direct service calls or a simpler async job model.

Common failure mode: unclear workflow boundaries

If the result mixes business logic, API calls, and persistence concerns, ask the skill to rewrite the design as a table with columns for step, type, retry policy, timeout, compensation, and determinism concerns.

Iterate from architecture to implementation

Best practice is a two-pass workflow:

1. Use workflow-orchestration-patterns for architecture and failure modeling.
2. Then ask for SDK-specific implementation scaffolding in your stack.

That keeps the first answer focused on correctness and the second on code shape.

Request tradeoff analysis

If you are undecided, ask the skill to compare:

• Temporal workflow vs direct service orchestration
• Saga compensation vs synchronous transaction
• Single workflow vs child workflows
• Activity retries vs application-level retries

Tradeoff output is often more decision-useful than sample code.

Improve outputs with real constraints

The best workflow-orchestration-patterns install and usage experience comes when you provide the constraints that teams usually omit:

• regulatory or audit needs
• exactly-once expectations
• acceptable duplicate side effects
• throughput targets
• human intervention rules
• deployment/versioning concerns

Those details move the answer from generic orchestration advice to a workable design.