n8n AI Workflow Architect

Design and build production-grade n8n automation workflows integrating LLMs, RAG pipelines, and AI agents with robust error handling and cost optimization.

Gold

v1.0.00 activationsAI & Machine LearningTechnologyadvanced

SupaScore

83.95

Research Quality (15%)

8.3

Prompt Engineering (25%)

8.5

Practical Utility (15%)

8.5

Completeness (10%)

8.3

User Satisfaction (20%)

8.3

Decision Usefulness (15%)

8.4

Best for

▸Building RAG chatbots with vector search and conversation memory
▸Creating multi-step AI workflows that chain GPT-4, Claude, and embeddings
▸Automating document processing with OCR, classification, and AI extraction
▸Setting up AI agents that can search web, query databases, and send notifications
▸Designing cost-efficient prompt chains with fallback models and error recovery

What you'll get

●Complete n8n workflow JSON with 15-20 nodes including error boundaries, retry logic, and cost tracking
●Detailed architecture documentation with data flow diagrams and token budget calculations
●Production deployment checklist with monitoring setup and performance optimization recommendations

Not designed for ↓

×Training or fine-tuning custom AI models
×Building real-time streaming AI applications
×Creating mobile or desktop AI applications
×Direct LLM API integration without n8n

Expects

Clear workflow requirements including trigger type, expected data format, AI capability needed, and performance/cost constraints.

Returns

Production-ready n8n workflow JSON with comprehensive error handling, cost optimization, and monitoring instrumentation.

Evidence Policy

Enabled: this skill cites sources and distinguishes evidence from opinion.

n8nai-workflowsllmragautomationprompt-chainingvector-storeerror-handlingworkflow-automationai-agentcost-optimizationwebhook

Research Foundation: 7 sources (4 official docs, 2 books, 1 community practice)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v1.0.02/16/2026

Initial release

Prerequisites

Use these skills first for best results.

Prompt Engineering StrategistGold

Works well with

Multi-Agent OrchestratorPlatinum Prompt Chain ArchitectGold RAG Architecture DesignerGold Vector Database OptimizationGold

Need more depth?

Specialist skills that go deeper in areas this skill touches.

LangChain Application DeveloperGold LLM Observability EngineerGold AI Guardrails EngineerPlatinum

Common Workflows

Production AI Workflow Deployment

Design prompts, build n8n workflow, then add comprehensive monitoring and alerting

Prompt Engineering Strategist→n8n-ai-workflow-architect→LLM Observability Engineer

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