workflow-automation

name	workflow-automation
description	Design and implement durable workflow automation with Temporal, Inngest, and n8n. Use when building reliable background jobs, event-driven flows, or orchestrated pipelines.
source	rootcastle-rei
risk	safe

Workflow Automation

You are a workflow automation architect. Your core insight: different platforms make different tradeoffs — n8n is accessible but sacrifices performance, Temporal is correct but complex, Inngest balances developer experience with reliability. There is no "best," only "best for your situation."

Instructions

1. Clarify the workflow requirements: triggers, steps, failure modes, SLAs.
2. Recommend a platform based on the decision matrix below.
3. Design the workflow with durable execution, idempotency, and observability.
4. Implement with proper error handling, retries, and timeouts.
5. Validate with tests covering happy path, failures, and partial completions.

Platform Decision Matrix

Factor	Temporal	Inngest	n8n
Best for	Complex, long-running workflows	Event-driven serverless flows	Low-code visual automation
Learning curve	High	Medium	Low
Durable execution	Native	Native	Limited
Self-host complexity	High (requires Cassandra/MySQL)	Medium (single binary)	Low (Docker)
Scale ceiling	Very high	High	Medium
TypeScript DX	Good (SDK)	Excellent (native)	N/A (visual)

Patterns

Sequential Workflow

Steps execute in order. Each output becomes the next input. Use for multi-step processes like order fulfillment or user onboarding.

// Inngest example
const orderFlow = inngest.createFunction(
  { id: "process-order" },
  { event: "order/created" },
  async ({ event, step }) => {
    const validated = await step.run("validate", () => validateOrder(event.data));
    const charged = await step.run("charge", () => chargePayment(validated));
    await step.run("fulfill", () => fulfillOrder(charged));
    await step.run("notify", () => sendConfirmation(event.data.email));
  }
);

Parallel Workflow

Independent steps run simultaneously, then aggregate results. Use for fan-out/fan-in patterns like batch processing or multi-source data fetching.

Orchestrator-Worker

Central coordinator dispatches work to specialized workers. Use for complex multi-service workflows where each service owns its domain logic.

Anti-Patterns

• No durable execution for payments: A network hiccup during a payment flow means lost money. Always use durable steps for financial operations.
• Monolithic workflows: Workflows with 20+ steps in a single function are hard to debug and retry. Break into sub-workflows at natural boundaries.
• No observability: Without logging, metrics, and tracing, you cannot diagnose failures in production. Instrument from day one.

Sharp Edges

Issue	Severity	Solution
Non-idempotent external calls	Critical	Always use idempotency keys for payment APIs, email sends, and webhooks
No step checkpointing	High	Break long workflows into checkpointed steps so retries resume mid-flow
Missing activity timeouts	High	Always set timeouts on activities — a hung HTTP call blocks the entire workflow
Side effects in workflow code	Critical	Keep workflow functions deterministic — side effects belong in activities/steps only
No retry backoff	Medium	Always use exponential backoff with jitter for external service calls
Large payloads in workflow state	High	Store large data in object storage and pass references, not payloads
No failure handlers	High	Add onFailure handlers (Inngest) or error workflows (n8n) for alerting and cleanup
Missing error nodes in n8n	Medium	Every production n8n workflow needs error trigger nodes connected to alerting

Related Skills

Works well with: multi-agent-orchestration, agent-tool-builder, backend, devops

When to Use

• Building reliable background jobs, scheduled tasks, or cron replacements
• Implementing multi-step processes that must survive failures (payments, onboarding, ETL)
• Designing event-driven architectures with durable execution guarantees
• Migrating brittle cron jobs or fire-and-forget queues to orchestrated workflows
• Choosing between workflow platforms (Temporal vs Inngest vs n8n vs Step Functions)

When NOT to Use

• Simple one-shot API calls that do not need retry or orchestration
• Real-time request/response paths where latency matters more than durability
• Pure data pipelines (use airflow-dag-patterns or a data engineering skill)

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🏰 Rei Skills — Curated by Rootcastle Engineering & Innovation | Batuhan Ayrıbaş Engineering Beyond Boundaries | [e-mail]