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0406_Executeworkflow_Slack_Send_Triggered

17 nodes · chat, lmChatOpenAi, memoryBufferWindow, executeWorkflow, slack, toolWorkflow

Engine
n8n
Nodes
17
Trigger
scheduled/triggered
Source file
0406_Executeworkflow_Slack_Send_Triggered.json

Workflow flow

IntegrationsChatLmChatOpenAiMemoryBufferWindowExecuteWorkflowSlackToolWorkflowAgent@n8n/n8n-nodes-langchain.chat@n8n/n8n-nodes-langchain.lmChatOpenAi@n8n/n8n-nodes-langchain.memoryBufferWindowIFCode+2 more
100%
TRIGGER

When chat message received

@n8n/n8n-nodes-langchain.chat

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

Simple Memory

@n8n/n8n-nodes-langchain.memoryBufferWindow

TRIGGER

When Executed by Another Workflow

ExecuteWorkflow

Not sure?

@n8n/n8n-nodes-langchain.toolWorkflow

Check if user has provided email

IF

AI Agent

@n8n/n8n-nodes-langchain.agent

Message Slack for help

Slack

Prompt the user to provide an email

Code

Confirm that we've messaged a human

Code

10 steps · flows top to bottom, branches left to right

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Import into n8n

  1. Download the n8n JSON file (full or sanitized).
  2. In n8n: Workflows → Import from file.
  3. Open each node and reconnect credentials to your accounts.
  4. Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

0406_Executeworkflow_Slack_Send_Triggered (17-node n8n automation, chat, lmChatOpenAi, memoryBufferWindow, executeWorkflow, slack, toolWorkflow, agent) is free on OpenRuna — view the graph and export the JSON to import into n8n.

What this workflow does

"0406_Executeworkflow_Slack_Send_Triggered" is an n8n automation built from 17 nodes spanning chat, lmChatOpenAi, memoryBufferWindow, executeWorkflow, slack, toolWorkflow, agent. 17 nodes · chat, lmChatOpenAi, memoryBufferWindow, executeWorkflow, slack, toolWorkflow It starts from a scheduled/triggered trigger and routes data through every node in order. OpenRuna renders the node graph and offers the JSON export so you can import and adapt it in minutes. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

  • Use it as a starting template when wiring chat, lmChatOpenAi, memoryBufferWindow, executeWorkflow, slack, toolWorkflow, agent — adjust node parameters to your accounts and record IDs.
  • Import "0406_Executeworkflow_Slack_Send_Triggered" into n8n, reconnect credentials for chat, lmChatOpenAi, memoryBufferWindow, executeWorkflow, slack, toolWorkflow, agent, and run the same automation in your own workspace.
  • Share it with your team as a documented reference for scheduled/triggered automations in the chat stack.
  • Study how data moves from chat to lmChatOpenAi before building your own variant.

Example output

Imported into n8n, "0406_Executeworkflow_Slack_Send_Triggered" exposes 17 configured nodes. Trigger type: scheduled/triggered. Integrations: chat, lmChatOpenAi, memoryBufferWindow, executeWorkflow, slack, toolWorkflow, agent. Open each node after import to map credentials to your own chat and lmChatOpenAi accounts. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Paste the exported JSON for "0406_Executeworkflow_Slack_Send_Triggered" into Claude and ask it to explain each of the 17 nodes. Claude is good at suggesting credential mappings for chat, lmChatOpenAi, memoryBufferWindow, executeWorkflow, slack, toolWorkflow, agent, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "0406_Executeworkflow_Slack_Send_Triggered" to your accounts — which chat, lmChatOpenAi, memoryBufferWindow, executeWorkflow, slack, toolWorkflow, agent credentials to create and which node parameters to change first.

Cursor

Open the downloaded JSON in Cursor and use Agent mode to refactor hard-coded URLs into env vars, or to generate tests for any Code nodes. Keep the OpenRuna flow diagram open so you do not break connection order across the 17 nodes.

Frequently asked questions

How do I import "0406_Executeworkflow_Slack_Send_Triggered" into n8n?
Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "0406_Executeworkflow_Slack_Send_Triggered" use?
It uses: chat, lmChatOpenAi, memoryBufferWindow, executeWorkflow, slack, toolWorkflow, agent. The flow diagram above shows how each service connects across the 17 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?
Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own chat and lmChatOpenAi credentials in n8n after import.
What trigger type does "0406_Executeworkflow_Slack_Send_Triggered" use?
Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "0406_Executeworkflow_Slack_Send_Triggered" free to use?
OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for chat, lmChatOpenAi, memoryBufferWindow, executeWorkflow, slack, toolWorkflow, agent.

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