Auto-generate sticky notes and rename nodes — n8n 工作流

高 复杂度⚡ 触发器23 个节点🏷️ Document Ops作者：Miha

概览

This is an official n8n workflow that helps you follow our sticky note and naming guidelines - required for getting your template published on the n8n template library.

How it works:

Parses the workflow's nodes, connections, and spatial layout. Uses GPT-4o to group nodes into logical clusters and generate descriptive sticky notes. Resolves any overlapping sticky notes through iterative collision detection. Optionally renames all nodes to follow descriptive naming conventions via a second AI pa

使用的节点

CodeAI AgentOpenAI Chat ModelStructured Output Parser

工作流预览

Initialize workflow
Starts the workflow and sets initial variables.
Prepare and parse nodes
Prepares nodes and parses them for further processing.
AI logical grouping
Uses AI to logically group nodes.
Collision handling and export
Handles collisions and merges results for export.
Iterative adjustment
Controls loop for iterative collision fixes and picks t
Conditional node renaming
Decides and executes the renaming procedure with AI ass
Final output preparation
Formats and normalizes the final workflow for output.
Sticky note generator and node renamer
How it works
This workflow creates sticky notes and renames your nod
How can we improve this workflow?
>>> Share your feedback here
modelmodelmodelparserparser
⚡
S
Start
Parse Nodes
AI Groups Logically
OpenAI Chat Model
Structured Output Parser
Generate Stickies
Strip & Prepare
Compute Bounding Boxes
Collision Resolution
Merge & Export
Pick Best Result
Collision Detector
I
If
Loop Controller (Automat…
S
Set Workflow Variables
S
Should Rename Nodes
O
Output Normalization
Parse for Renaming
AI Rename
Apply Renames
Format for Export
OpenAI Chat Model1
Structured Output Parser1
23 nodes25 edges

工作原理

  1. 1

    触发器

    工作流由 触发器 触发器启动。

  2. 2

    处理

    数据流经 23 个节点, connecting agent, code, if。

  3. 3

    输出

    工作流完成自动化并将结果发送到配置的目标。

节点详情 (23)

CO

Code

code

#1
AI

AI Agent

n8n-nodes-langchain.agent

#2
OP

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

#3
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#4

如何导入此工作流

  1. 1点击右侧 下载 JSON 按钮保存工作流文件。
  2. 2打开你的 n8n 实例，依次点击 工作流 → 新建 → 从文件导入。
  3. 3选择下载的 auto-generate-sticky-notes-and-rename-nodes 文件并点击导入。
  4. 4为每个服务节点配置 凭证（API 密钥、OAuth 等）。
  5. 5点击 测试工作流 验证一切正常，然后激活它。

或直接在 n8n → 从 JSON 导入 中粘贴：

{ "name": "Auto-generate sticky notes and rename nodes", "nodes": [...], ...}

集成

agentcodeiflmchatopenaimanualtriggeroutputparserstructuredset

获取此工作流

一键下载并导入

下载 JSON在 n8n.io 上查看
节点23
复杂度high
触发器trigger
分类Document Ops

创建者

Miha

Miha

@miha

标签

agentcodeiflmchatopenaimanualtriggeroutputparserstructuredset
⚡

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