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
5.7
Rating
0
Installs
Backend Development
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The skill provides a clear conceptual foundation for workflow automation with good structural organization (patterns, anti-patterns, sharp edges). However, it lacks actionable implementation details - the sharp edges table shows 'Issue' placeholders without actual content, and there are no concrete code examples, platform-specific guidance, or step-by-step procedures. The description coverage is moderate; while it explains the value proposition well, it doesn't provide enough detail for a CLI agent to invoke specific automation tasks. Task knowledge is limited to high-level patterns without executable instructions. Novelty is moderate - workflow automation with durable execution is valuable but not highly specialized. The skill would benefit significantly from concrete examples, platform comparison matrices, and actual code snippets for the mentioned platforms (n8n, Temporal, Inngest).
davila7
Skill Author
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