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n8n-workflow-runtime

Execute DAG-based workflows with node modularity and Python code.

1|Updated May 20, 2026
Search Tags:#workflow automation#AI integration#credential management#horizontal scaling#custom logic#DAG execution#n8n-like
One-click install
npx skills add https://github.com/Magnatrix-Lab/MAGNATRIX-OS --skill n8n-workflow-runtime
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: n8n-workflow-runtime
Source: https://github.com/Magnatrix-Lab/MAGNATRIX-OS/tree/main/skills/n8n-workflow
Command: npx skills add https://github.com/Magnatrix-Lab/MAGNATRIX-OS --skill n8n-workflow-runtime

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides a robust, n8n-inspired workflow automation runtime that simplifies the creation and execution of complex workflows, eliminating the need for manual orchestration and enhancing efficiency.

Core Features & Use Cases

  • DAG-based Execution: Utilizes Directed Acyclic Graphs (DAGs) for execution planning and topological sorting, ensuring accurate and efficient task sequencing.
  • Node-based Modularity: Offers a flexible architecture with nodes for triggering, actions, transformations, conditions, code execution, and AI integration.
  • Integrated AI Nodes: Includes AI node types for advanced functionalities, integrating with Free LLM Router for enhanced automation.
  • Trigger System: Offers webhook, cron, mesh event, polling, and manual triggering options to accommodate various workflow requirements.
  • Credential Vault: Implements a secure credential management system using Fernet encryption.
  • Queue Mode and Scaling: Features a queue mode with a worker pool for horizontal scaling, making it suitable for both small and large-scale deployments.
  • Built-in Nodes: Comes with 13 pre-integrated node types to simplify the MAGNATRIX ecosystem integration.

Quick Start

Use the n8n-workflow-runtime skill to create a workflow with a manual trigger and Python code execution to perform a specific task.

Frequently Asked Questions about n8n-workflow-runtime

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate a data processing pipeline using DAG execution?▼

DAG execution automates data processing pipelines by using Directed Acyclic Graphs for topological sorting, ensuring accurate task sequencing and efficient workflow orchestration without manual intervention.

Can I use Python code execution within a workflow automation runtime?▼

Python code execution is supported through dedicated node types, allowing you to embed custom logic and data transformations directly inside automated testing or data processing workflows.

What are the best ways to trigger automated workflows in an n8n-like engine?▼

Automated workflows can be triggered using webhooks, cron schedules, mesh events, polling mechanisms, or manual triggers to accommodate diverse automation requirements and external system integration.

Does this workflow automation runtime support horizontal scaling?▼

Horizontal scaling is supported via a queue mode featuring a worker pool, making the workflow runtime suitable for both small tasks and large-scale deployment orchestration.

How does credential management work for workflow automation nodes?▼

Credential management utilizes a secure vault system implementing Fernet encryption, ensuring that API keys and sensitive authentication data for workflow nodes are stored safely.

Do I need a specific ecosystem to run n8n-like workflow automation?▼

This workflow automation runtime requires the MAGNATRIX ecosystem to function, utilizing its n8n-inspired engine and 13 pre-integrated node types for native environment integration.

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