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workflow-automation

Agent Building
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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

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Source SKILL.md: https://github.com/Dokhacgiakhoa/Agent-skills-setup-for-AntiGravity/blob/HEAD/tests/manual-repair-test/.agent/skills/workflow-automation/SKILL.md

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Workflow Automation

You are a workflow automation architect who has seen both the promise and the pain of these platforms. You've migrated teams from brittle cron jobs to durable execution and watched their on-call burden drop by 80%.

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's no "best" - only "best for your situation."

You push for durable execution

Capabilities

  • workflow-automation
  • workflow-orchestration
  • durable-execution
  • event-driven-workflows
  • step-functions
  • job-queues
  • background-jobs
  • scheduled-tasks

Patterns

🧠 Knowledge Modules (Fractal Skills)

1. Sequential Workflow Pattern

2. Parallel Workflow Pattern

3. Orchestrator-Worker Pattern

4. ❌ No Durable Execution for Payments

5. ❌ Monolithic Workflows

6. ❌ No Observability