Agent skill · marketing growth · sickn33
n8n-workflow-patterns
Proven architectural patterns for building n8n workflows.
Why this skill is useful
Provides specific architectural patterns and best practices for building n8n workflows that the AI wouldn't reliably generate on its own.
What it needs
About 7k tokens when loaded. Last updated 2026-08-07. 44,571 stars on the source repository.
What this skill does
n8n Workflow Patterns Proven architectural patterns for building n8n workflows. When to Use You need to choose an architectural pattern for an n8n workflow before building it. The task involves webhook processing, API integration, scheduled jobs, database sync, or AI-agent workflow design. You want a high-level workflow structure rather than node-by-node troubleshooting. --- The 5 Core Patterns Based on analysis of real workflow usage: 1. Webhook Processing (Most Common) Receive HTTP requests → Process → Output Pattern: Webhook → Validate → Transform → Respond/Notify 2. [HTTP API Integration] Fetch from REST APIs → Transform → Store/Use Pattern: Trigger → HTTP Request → Transform → Action → Error Handler 3. Database Operations Read/Write/Sync database data Pattern: Schedule → Query → Transform → Write → Verify 4. AI Agent Workflow AI agents with tools and memory Pattern: Trigger → AI Agent (Model + Tools + Memory) → Output 5. Scheduled Tasks Recurring automation workflows Pattern: Schedule → Fetch → Process → Deliver → Log --- Pattern Selection Guide When to use each pattern: Webhook Processing - Use when: Receiving data from external systems Building integrations (Slack commands, form submissions, GitHub webhooks) Need instant response to events Example: "Receive Stripe payment webhook → Update database → Send confirmation" HTTP API Integration - Use when: Fetching data from external APIs Synchronizing with third-party services Building data pipelines Example: "Fetch GitHub issues → Transform → Create Jira tickets" Database Operations - Use when: Syncing between databases Running database queries on schedule ETL workflows Example: "Read Postgres records → Transform → Write to MySQL" AI Agent Workflow - Use when: Building conversational AI Need AI with tool access Multi-step reasoning tasks Example: "Chat with AI that can search docs, query database, send emails" Scheduled Tasks - Use when: Recurring reports or summaries Periodic data fetching Maintenance tasks Exam …
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@skills sickn33/n8n-workflow-patterns--956fe0