How do I import "0526_Schedule_Slack_Create_Scheduled" 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 "0526_Schedule_Slack_Create_Scheduled" use?

It uses: slack, lmChatOpenAi, outputParserStructured, schedule, linear, chainLlm, aggregate. The flow diagram above shows how each service connects across the 19 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 slack and lmChatOpenAi credentials in n8n after import.

What trigger type does "0526_Schedule_Slack_Create_Scheduled" 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 "0526_Schedule_Slack_Create_Scheduled" 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 slack, lmChatOpenAi, outputParserStructured, schedule, linear, chainLlm, aggregate.

← Workflows

0526_Schedule_Slack_Create_Scheduled

19 nodes · slack, lmChatOpenAi, outputParserStructured, schedule, linear, chainLlm

Engine: n8n
Nodes: 19
Trigger: scheduled/triggered
Source file: 0526_Schedule_Slack_Create_Scheduled.json

Workflow flow

Integrations

SlackLmChatOpenAiOutputParserStructuredScheduleLinearChainLlmAggregate@n8n/n8n-nodes-langchain.lmChatOpenAi@n8n/n8n-nodes-langchain.outputParserStructuredSetIF@n8n/n8n-nodes-langchain.chainLlm+1 more

100%

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

Structured Output Parser

@n8n/n8n-nodes-langchain.outputParserStructured

TRIGGER

Schedule Trigger

Schedule

Slack

Get Values

Set

Get Existing Issues

Linear

Collect Descriptions

Aggregate

Get Hashes Only

Set

Merge

Create New Ticket?

Generate Ticket Using ChatGPT

@n8n/n8n-nodes-langchain.chainLlm

Create Ticket

Linear

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

Browse by integration

slack lmChatOpenAi outputParserStructured schedule linear chainLlm aggregate

Browse all integrations →

Download n8n JSON Download sanitized JSON Download flow graph

Import into n8n

Download the n8n JSON file (full or sanitized).
In n8n: Workflows → Import from file.
Open each node and reconnect credentials to your accounts.
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

Free n8n workflow: 0526_Schedule_Slack_Create_Scheduled. 19 nodes across slack, lmChatOpenAi, outputParserStructured, schedule, linear, chainLlm, aggregate, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

"0526_Schedule_Slack_Create_Scheduled" is an n8n automation built from 19 nodes spanning slack, lmChatOpenAi, outputParserStructured, schedule, linear, chainLlm, aggregate. 19 nodes · slack, lmChatOpenAi, outputParserStructured, schedule, linear, chainLlm It starts from a scheduled/triggered trigger and routes data through every node in order. On OpenRuna you get the visual graph, the integration list, and a downloadable JSON ready to import into n8n. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

Benchmark it against your current slack integration to spot missing steps or redundant nodes.
Fork it to add error handling, retries, or a notification step without designing the 19-node flow from scratch.
Use it as a starting template when wiring slack, lmChatOpenAi, outputParserStructured, schedule, linear, chainLlm, aggregate — adjust node parameters to your accounts and record IDs.
Import "0526_Schedule_Slack_Create_Scheduled" into n8n, reconnect credentials for slack, lmChatOpenAi, outputParserStructured, schedule, linear, chainLlm, aggregate, and run the same automation in your own workspace.

Example output

Imported into n8n, "0526_Schedule_Slack_Create_Scheduled" exposes 19 configured nodes. Trigger type: scheduled/triggered. Integrations: slack, lmChatOpenAi, outputParserStructured, schedule, linear, chainLlm, aggregate. Set your credentials on the slack node, then verify each downstream node picks them up. 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 "0526_Schedule_Slack_Create_Scheduled" into Claude and ask it to explain each of the 19 nodes. Claude is good at suggesting credential mappings for slack, lmChatOpenAi, outputParserStructured, schedule, linear, chainLlm, aggregate, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "0526_Schedule_Slack_Create_Scheduled" to your accounts — which slack, lmChatOpenAi, outputParserStructured, schedule, linear, chainLlm, aggregate 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 19 nodes.

Frequently asked questions

How do I import "0526_Schedule_Slack_Create_Scheduled" 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 "0526_Schedule_Slack_Create_Scheduled" use?: It uses: slack, lmChatOpenAi, outputParserStructured, schedule, linear, chainLlm, aggregate. The flow diagram above shows how each service connects across the 19 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 slack and lmChatOpenAi credentials in n8n after import.
What trigger type does "0526_Schedule_Slack_Create_Scheduled" 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 "0526_Schedule_Slack_Create_Scheduled" 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 slack, lmChatOpenAi, outputParserStructured, schedule, linear, chainLlm, aggregate.