
n8n Skills
Deep n8n agent skills — design AI Agent nodes, LangChain workflows, and production automations correctly.
About
n8n Skills (by Romuald Czlonkowski, MIT-licensed) is a deep skill collection for developing, optimizing, and debugging n8n agents in production workflows. The flagship n8n-agents skill covers the n8n AI Agent node (a multi-turn LLM driver with sub-nodes for model, memory, tools, and output parser), LangChain classifier/extractor/memory patterns, RAG, tool-calling, structured output, and human-review design. It is safety-conscious by design: before activating workflows that send messages, write data, make purchases, or call external services, it instructs the agent to show exact effects and obtain approval, and to keep provider keys in n8n credentials — never in prompts or workflow JSON. A companion n8n-workflow-patterns skill covers where agents fit in a workflow at a higher level.
The honest picture: this is a community single-maintainer repo — check recency and n8n version compatibility before adopting, since n8n's LangChain node schemas change. It is n8n-specific; if you orchestrate agents elsewhere (LangGraph, raw APIs), look elsewhere. The skill assumes you already run an n8n instance.
What it can do
- n8n AI Agent node deep guide
- LangChain node patterns (memory, RAG, tools)
- Production workflow safety rules
- n8n-workflow-patterns companion skill
- Version-sensitive node schema guidance
Setup
Clone github.com/czlonkowski/n8n-skills and reference the SKILL.md files from your agent, or install via a skills aggregator.
Prerequisites
A running n8n instance; an agent that can read SKILL.md files.
Use cases
Works with
Trust score — 6/10
Scored 6/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 50; Trending score 52/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.