n8n-syntax-ai-nodes
Use when building AI or LLM workflows in n8n v1.x (v1.19.4+). Prevents incorrect sub-node wiring by mismatching NodeConnectionTypes. Covers agent nodes (6 types), chain nodes, tool nodes, memory backends (8 types), vector stores (11 types), output parsers, text splitters, retrievers, AI sub-node connections (12 NodeConnectionTypes), langchain integration, RAG patterns, and human-in-the-loop.
npx skills add majiayu000/claude-skill-registry --skill n8n-syntax-ai-nodes --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# n8n AI/LLM Cluster Node System > n8n integrates with LangChain to provide advanced AI capabilities via a **cluster node architecture** — root nodes connected to specialized sub-nodes through typed connectors. Requires n8n v1.19.4+. ## Quick Reference ### Cluster Node Architecture AI workflows in n8n use **root nodes** (agents, chains) connected to **sub-nodes** (models, memory, tools) through typed AI connectors. Root nodes NEVER work alone — they ALWAYS require at least one Chat Model sub-node. ``` ┌─────────────────────────────────────────────────┐ │ ROOT NODE (Agent/Chain) │ │ ┌──────────┬──────────┬──────────┬───────────┐ │ │ │ai_language│ai_memory │ai_tool │ai_output │ │ │ │Model │ │ │Parser │ │ │ └────┬─────┴────┬─────┴────┬─────┴─────┬─────┘ │ └───────┼──────────┼──────────┼───────────┼───────┘ │ │ │ │ ┌────▼────┐ ┌──▼───┐ ┌───▼────┐ ┌───▼──────┐ │Chat │ │Memory│ │Tool │ │Output │ │Model │ │Node │ │Node(s) │ │Parser │ └─────────┘ └──────┘ └────────┘ └──────────┘ ``` ### AI Node Type Reference | Category | Nodes | Purpose | |----------|-------|---------| | **Agents** | Conversational, OpenAI Functions, Plan and Execute, ReAct, SQL, Tools Agent | Autonomous reasoning + tool
- Quick Reference
- Cluster Node Architecture
- AI Node Type Reference
- Sub-Node Connection Types (NodeConnectionType)
- Decision Trees
- Which Agent Type to Use
- Which Memory Type to Use
- Which Vector Store to Use
- Core Patterns
- Pattern 1: Basic Agent Workflow
- Pattern 2: RAG Data Insertion
- Pattern 3: RAG Retrieval via Agent
- Pattern 4: RAG Retrieval via Chain
- Pattern 5: Human-in-the-Loop
What does the n8n-syntax-ai-nodes skill do?
Use when building AI or LLM workflows in n8n v1.x (v1.19.4+). Prevents incorrect sub-node wiring by mismatching NodeConnectionTypes. Covers agent nodes (6 types), chain nodes, tool nodes, memory backends (8 types), vector stores (11 types), output parsers, text splitters, retrievers, AI sub-node connections (12 NodeConnectionTypes), langchain integration, RAG patterns, and human-in-the-loop.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill n8n-syntax-ai-nodes --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.