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- Low Code Agentic Workflow Architect
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Low Code Agentic Workflow Architect
Design, structure, and deploy self-healing, multi-agent workflows in n8n, Make, and Flowise.
Free
Low Code Agentic Workflow Architect
Example session with this skill installed
I want to build an automated content repurposing workflow on n8n that takes a long-form blog post URL, extracts the key insights, and uses a multi-agent setup to draft a LinkedIn post, a 5-tweet thread, and a summary email. I need human approval before anything posts to LinkedIn. Can you design this workflow blueprint for me using the Low-Code Agentic Workflow Architect skill?
- Read your context and instructions
- Compiled the low code agentic
🎯 Workflow Blueprint: Autonomous Multi-Channel Content Repurposer
Target Platform: n8n
Architecture Pattern: Orchestrator-Workers with Human-In-The-Loop (HITL)
Primary Objective: Ingest blog HTML, analyze key themes, draft customized multi-platform social assets, and route high-impact channels through mandatory approval.
🧱 Node-by-Node Architectural Specification
| Node # | Node Name | Type / Module | Configuration & System Prompt Summary |
|---|---|---|---|
| 1.0 | Webhook Trigger | HTTP Trigger | Receives JSON payload with blog_url and target_audience. |
| 1.1 | Scraping Agent | HTTP Request + HTML Parser | Extracts raw body text, strips navigation/footer scripts, and passes clean Markdown. |
| 2.0 | Master Orchestrator Agent | LLM Chain (High Reasoning) | Prompt: Analyze the article and output a structured JSON key-takeaway array with top 5 core thesis points. |
| 3.1 | LinkedIn Worker Agent | Specialized Agent Node | Prompt: Draft an engaging 200-word LinkedIn post emphasizing business impact. Use short paragraphs and clear formatting. |
| 3.2 | X/Twitter Worker Agent | Specialized Agent Node | Prompt: Convert the core thesis into a 5-tweet high-engagement thread with an open hook and concise body tweets. |
| 3.3 | Email Digest Worker Agent | Specialized Agent Node | Prompt: Write a 150-word executive summary newsletter email with a clear CTA back to the original article. |
| 4.0 | Quality Evaluator Node | LLM Evaluator Node | Evaluates generated drafts against brand tone guidelines. If quality score < 8/10, routes back to worker with feedback (max 2 retries). |
| 5.0 | HITL Approval Gate | n8n Wait Node / Slack Webhook | Sends LinkedIn draft to Slack #content-approvals with [Approve] and [Reject/Edit] interactive buttons. |
| 6.1 | LinkedIn Publisher | LinkedIn REST API | Triggered only upon Slack Approve action. Posts content directly via OAuth2. |
| 6.2 | Auto-Publish Twitter/Email | X API & SendGrid Node | Executes automatically once Quality Evaluator passes. |
🛠️ n8n JSON Node Configuration (Master Orchestrator Excerpt)
{
"nodes": [
{
"parameters": {
"model": "gpt-4o",
"options": {
"temperature": 0.2
},
"systemMessage": "=You are the Content Orchestrator. Extract the core arguments from the following Markdown document: {{ $json.body }}. Return a valid JSON object matching the schema: {\"takeaways\": [], \"primary_hook\": \"\"}."
},
"id": "orchestrator-agent-01",
"name": "Master Orchestrator Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.7
}
]
}
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About this skill
Transform manual business processes and fragile prompt chains into production-grade, autonomous agentic workflows using leading low-code/no-code platforms.
This skill provides your AI agent with structured blueprints for top multi-agent design patterns—including Reflection/Evaluator loops, Router/Dispatcher systems, Orchestrator-Worker networks, and Human-In-The-Loop (HITL) safety nodes.
What this skill enables your agent to do
Map Architectural Patterns: Automatically select and structure the right agentic pattern based on project constraints.
Draft Platform Specifications: Generate node-by-node execution blueprints tailored for n8n, Make, Langflow, and OpenAI Agent Builder.
Implement Error-Handling & Resilience: Add self-healing retry loops, fallback model routing, and token-efficient state management.
Define Schema & Prompts: Produce strict JSON output schemas, system prompts, and tool requirements for every agent node.
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