workflow-automation
Durable execution infrastructure for reliable, fault-tolerant workflows across distributed systems.
- Covers sequential, parallel, and orchestrator-worker patterns with support for event-driven and scheduled task execution
- Compares four major platforms (n8n, Temporal, Inngest, DBOS) with explicit tradeoffs between accessibility, performance, and operational complexity
- Highlights critical sharp edges: idempotency keys for external calls, checkpointed steps, activity timeouts, and exponential backoff strategies
- Warns against common anti-patterns including unprotected payments, monolithic workflows, and missing observability
Workflow Automation
Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off.
This skill covers the platforms (n8n, Temporal, Inngest) and patterns (sequential, parallel, orchestrator-worker) that turn brittle scripts into production-grade automation.
Key insight: The platforms make different tradeoffs. n8n optimizes for accessibility, Temporal for correctness, Inngest for developer experience. Pick based on your actual needs, not hype.
Principles
- Durable execution is non-negotiable for money or state-critical workflows
- Events are the universal language of workflow triggers
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