Is guidance for self-hosted n8n included?

Yes, the skill covers Docker configurations, key environment variables, and scaling n8n using queue mode for high-volume environments.

Can I use this for AI and LangChain workflows?

Yes, it features documentation for building AI agents, connecting vector databases, managing memory, and using LangChain tools within n8n.

Can it help with custom Code nodes?

Absolutely, it provides patterns for both JavaScript and Python transformations, including how to access input items and format JSON/binary outputs.

Does this skill support the latest n8n v1.0 features?

Yes, it includes specific guidance for n8n v1.0 migrations, including the new execution order, user management, and Python support in Code nodes.

How does it handle n8n expressions?

It provides quick references for Luxon date formatting, data access syntax ($json, $node, $input), and common data transformation patterns.

n8n Workflow Automation

Name: n8n Workflow Automation
Author: rawveg

byrawveg

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Productivity & Workflow

Streamlines the creation, debugging, and optimization of n8n automation workflows and AI agents.

About

This skill provides comprehensive assistance for the n8n automation platform, enabling developers to build complex visual workflows, write custom Code nodes in JavaScript or Python, and integrate advanced AI capabilities like RAG and autonomous agents. It offers deep technical guidance on data transformations, expression syntax, and self-hosted deployment configurations, making it an essential companion for scaling business processes and connecting diverse API services through n8n's fair-code ecosystem.

Key Features

Custom Code node development in JavaScript and Python
8 GitHub stars
Workflow debugging and logic optimization
Advanced data transformation and expression syntax
Self-hosted deployment and scaling guidance
AI Agent, LangChain, and RAG implementation

Use Cases

Migrating legacy workflows to n8n v1.0 and modern execution modes
Designing complex API integrations with custom error handling and retries
Building autonomous AI agents with custom toolsets and vector memory

About

Key Features

Custom Code node development in JavaScript and Python
8 GitHub stars
Workflow debugging and logic optimization
Advanced data transformation and expression syntax
Self-hosted deployment and scaling guidance
AI Agent, LangChain, and RAG implementation

Use Cases

Migrating legacy workflows to n8n v1.0 and modern execution modes
Designing complex API integrations with custom error handling and retries
Building autonomous AI agents with custom toolsets and vector memory