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1328_Jiratool_Schedule_Automate_Scheduled

36 nodes · lmChatOpenAi, schedule, jira, aggregate, outputParserStructured, slack

Engine
n8n
Nodes
36
Trigger
scheduled/triggered
Source file
1328_Jiratool_Schedule_Automate_Scheduled.json

Workflow flow

IntegrationsLmChatOpenAiScheduleJiraAggregateOutputParserStructuredSlackExecuteWorkflowSentimentAnalysisAgentChainLlmJiraToolNotionTool+9 more
100%

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

OpenAI Chat Model1

@n8n/n8n-nodes-langchain.lmChatOpenAi

OpenAI Chat Model3

@n8n/n8n-nodes-langchain.lmChatOpenAi

OpenAI Chat Model4

@n8n/n8n-nodes-langchain.lmChatOpenAi

TRIGGER

Schedule Trigger

Schedule

Structured Output Parser

@n8n/n8n-nodes-langchain.outputParserStructured

TRIGGER

Execute Workflow Trigger

ExecuteWorkflow

Find Simlar Issues

JiraTool

Query KnowledgeBase

NotionTool

Get Issue Metadata

Set

Get List of Unresolved Long Lived Issues

Jira

Get Issue Comments

Jira

Execute Workflow

ExecuteWorkflow

Join Comments

Aggregate

Simplify Thread For AI

Set

Classify Current Issue State

@n8n/n8n-nodes-langchain.textClassifier

Last Message is Not Bot

IF

Customer Satisfaction Agent

@n8n/n8n-nodes-langchain.sentimentAnalysis

KnowledgeBase Agent

@n8n/n8n-nodes-langchain.agent

Add Autoclose Message

Jira

Ask For Feedback Message

Jira

Solution Found?

IF

Issue Reminder Agent

@n8n/n8n-nodes-langchain.chainLlm

Report Unhappy Resolution

Slack

Close Issue

Jira

Send Reminder

Jira

Notify Slack Channel

Slack

Reply to Issue

Jira

Close Issue2

Jira

29 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

1328_Jiratool_Schedule_Automate_Scheduled is a free n8n workflow on OpenRuna — 36 nodes connecting lmChatOpenAi, schedule, jira, aggregate, outputParserStructured, slack, executeWorkflow, sentimentAnalysis. Download the JSON, view the flow diagram, and import it into your n8n instance.

What this workflow does

Built in n8n, "1328_Jiratool_Schedule_Automate_Scheduled" chains 36 nodes to move data between lmChatOpenAi, schedule, jira, aggregate, outputParserStructured, slack, executeWorkflow, sentimentAnalysis. 36 nodes · lmChatOpenAi, schedule, jira, aggregate, outputParserStructured, slack 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

  • Fork it to add error handling, retries, or a notification step without designing the 36-node flow from scratch.
  • Benchmark it against your current lmChatOpenAi integration to spot missing steps or redundant nodes.
  • Study how data moves from lmChatOpenAi to schedule before building your own variant.
  • Share it with your team as a documented reference for scheduled/triggered automations in the lmChatOpenAi stack.

Example output

Imported into n8n, "1328_Jiratool_Schedule_Automate_Scheduled" exposes 36 configured nodes. Trigger type: scheduled/triggered. Integrations: lmChatOpenAi, schedule, jira, aggregate, outputParserStructured, slack, executeWorkflow, sentimentAnalysis. Set your credentials on the lmChatOpenAi 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

Ask Claude to turn the "1328_Jiratool_Schedule_Automate_Scheduled" JSON into a plain-English runbook, node by node. It can flag where lmChatOpenAi rate limits or missing retries might bite before you go live.

ChatGPT

Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for lmChatOpenAi, schedule, jira, aggregate, outputParserStructured, slack, executeWorkflow, sentimentAnalysis. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "1328_Jiratool_Schedule_Automate_Scheduled" — extract lmChatOpenAi IDs and secrets into environment variables without changing the 36-node structure.

Frequently asked questions

How do I import "1328_Jiratool_Schedule_Automate_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 "1328_Jiratool_Schedule_Automate_Scheduled" use?
It uses: lmChatOpenAi, schedule, jira, aggregate, outputParserStructured, slack, executeWorkflow, sentimentAnalysis. The flow diagram above shows how each service connects across the 36 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 lmChatOpenAi and schedule credentials in n8n after import.
What trigger type does "1328_Jiratool_Schedule_Automate_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 "1328_Jiratool_Schedule_Automate_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 lmChatOpenAi, schedule, jira, aggregate, outputParserStructured, slack, executeWorkflow, sentimentAnalysis.

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