Classify GitHub issues and create Linear tasks using OpenAI

Open on n8n.io

$20/month : Unlimited workflows

2500 executions/month

Try free

THE #1 IN WEB SCRAPING

Scrape any website without limits

Try free

HOSTINGER

Early Deal
DISCOUNT 20%

Self-hosted n8n

Unlimited workflows - from $4.99/mo

Try free

#1 hub for scraping, AI & automation

6000+ actors - $5 credits/mo

Try free

1. Workflow Overview

How it works This workflow automatically processes new GitHub issues and uses AI to classify them by type and priority. It extracts key issue data, sends it to an AI model for structured analysis, ...

Best for

Ticket Management automation workflows
AI Summarization automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.githubtrigger, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.informationextractor, n8n-nodes-base.linear, n8n-nodes-base.github, n8n-nodes-base.merge, n8n-nodes-base.code, n8n-nodes-base.if

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Avkash Kakdiya.

Original n8n.io source

1.1 Workflow description

Title: Classify GitHub issues and create Linear tasks using OpenAI
Workflow name: Classify GitHub issues and create Linear tasks using OpenAI

How it works

This workflow automatically processes new GitHub issues and uses AI to classify them by type and priority. It extracts key issue data, sends it to an AI model for structured analysis, and formats the output for task creation. The workflow then creates a task in Linear and adds a comment back to the GitHub issue. This ensures consistent triage and faster issue handling without manual effort.

Step-by-step

Capture and filter new issues
Github Trigger – Listens for new issues or comments in the repository.
If – Filters events to process only newly opened issues.
Edit Fields – Extracts and structures title, description, author, and URL.
AI classification and formatting
Information Extractor – Sends issue data to AI for classification (type, priority, labels).
Code in JavaScript – Cleans, validates, and formats AI output for consistent use.
OpenAI Chat Model (sub-node) – Provides the language model powering the AI classification.
Merge – Combines original issue data with AI-processed output.
Task creation and feedback
Create an issue – Creates a structured task in Linear with priority and description.
Create a comment on an issue – Posts a comment back to GitHub with classification results.

Why use this?

Eliminates manual issue triage and prioritization work
Ensures consistent classification using AI-driven logic
Speeds up response time for bugs, features, and questions
Automatically syncs GitHub issues with Linear tasks
Improves team visibility with instant feedback on each issue

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Github Trigger

Type / Role: n8n-nodes-base.githubTrigger - githubTrigger
Config choices: Version 1

Block 2 - Edit Fields

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 3 - Information Extractor

Type / Role: @n8n/n8n-nodes-langchain.informationExtractor - informationExtractor
Config choices: Version 1.2

Block 4 - Create an issue

Type / Role: n8n-nodes-base.linear - linear
Config choices: Version 1.1

Block 5 - Create a comment on an issue

Type / Role: n8n-nodes-base.github - github
Config choices: Version 1.1

Block 6 - Merge

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.2

Block 7 - Code in JavaScript

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 8 - If

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.3

Block 9 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 10 - Sticky Note6

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 11 - Sticky Note7

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 12 - Sticky Note8

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 13 - Sticky Note9

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Classify GitHub issues and create Linear tasks using OpenAI
Complexity	intermediate
Nodes	13
Categories	Ticket Management, AI Summarization
Author	Avkash Kakdiya
Published	26 Mar 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/14357/14357.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Ticket Management workflows AI Summarization workflows

Frequently asked questions

What does Classify GitHub issues and create Linear tasks using OpenAI do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Ticket Management, AI Summarization use case.

Avkash Kakdiya

115 workflows

Nodes

n8n-nodes-base.githubtrigger n8n-nodes-base.set @n8n/n8n-nodes-langchain.informationextractor n8n-nodes-base.linear n8n-nodes-base.github n8n-nodes-base.merge n8n-nodes-base.code n8n-nodes-base.if

Complexity

intermediate

Published 26 Mar 2026

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/14357/14357.json

Share Your Workflow

Have a useful automation to share? Publish it and help the community.

Submit Your Template How to Submit

Related Workflows

Track post-therapy wellness with GPT-4o-mini, Telegram, Slack and Sheets

## Quick Overview This workflow uses Google Sheets, OpenAI, Telegram, and Slack to send post-therapy check-in messages, analyze patient replies for sentiment and risk, alert therapists to at-risk responses, and log non-urgent replies for ongoing wellness tracking. ## How it works 1. Runs every hour on a schedule trigger. 2. Reads session records from Google Sheets and keeps only sessions that have a session date and have not been marked as check-in sent. 3. Uses OpenAI (gpt-4o-mini) to generate a personalized, non-clinical Telegram check-in message from the patient’s session details. 4. Sends the check-in to the patient via Telegram and updates the Google Sheets session row to store the message and mark the check-in as sent. 5. Triggers on incoming Telegram messages, looks up the patient in a Google Sheets master list by Telegram ID, and selects the most relevant recent session to provide context. 6. Sends the patient reply and session context to OpenAI for JSON-formatted sentiment classification and parses the result into structured fields. 7. If the sentiment is classified as at-risk, posts an urgent alert to a Slack channel; otherwise, appends the reply and sentiment details to a Google Sheets wellness log. ## Setup 1. Connect Google Sheets OAuth credentials and update the spreadsheet document ID and sheet names for Sessions, Patients_Master, and Wellness_Log. 2. Create and connect a Telegram bot credential, set up the Telegram trigger webhook, and ensure patient Telegram chat IDs are stored in Google Sheets. 3. Add an OpenAI API key credential and confirm the selected model (gpt-4o-mini) meets your requirements. 4. Connect Slack OAuth credentials and replace the placeholder Slack channel ID used for therapist alerts, and confirm the error-alert channel is set correctly. 5. Verify your Google Sheets columns match the workflow’s expected fields (for example session_id, checkin_sent, checkin_message_sent, therapist_slack_id) before activating.

View

Detect and route customer escalations with Claude, Slack and Linear

## Quick Overview This workflow receives support messages via a webhook, normalizes payloads from Gmail, Zendesk, Intercom, and HelpScout, and uses Anthropic Claude to detect escalation signals and severity, then posts alerts to Slack and creates Linear tickets for actionable cases. ## How it works 1. Receives an inbound support message via a POST webhook. 2. Normalizes the incoming payload (Gmail, Zendesk, Intercom, HelpScout, or a raw test payload) into a consistent schema with customer details, subject, body text, and a source URL. 3. Sends the normalized message to Anthropic Claude and parses the response into structured JSON containing escalation flags, severity, trigger phrases, a summary, and a suggested reply opening. 4. Stops processing silently when the message is not an escalation (severity is none). 5. Builds a formatted Slack alert and Linear issue payload, including SLA guidance, detected signals, and links back to the original conversation. 6. Posts the escalation alert to a configured Slack channel. 7. Creates a Linear ticket for critical, high, and medium severity escalations and sends a Slack DM to a manager for critical and high cases. ## Setup 1. Add an Anthropic API credential for the Anthropic Chat Model node. 2. Add a Slack OAuth2 credential, set the target channel (for example, #escalations), and set the manager’s Slack user ID for direct messages. 3. Add a Linear OAuth2 credential and replace the placeholder Linear team ID used when creating tickets. 4. Copy the webhook URL from the webhook trigger and configure Gmail/Zendesk/Intercom/HelpScout (or your custom source) to POST message payloads to it in one of the supported formats.

View

Triage construction incidents with GPT-4o, Slack, Gmail and Google Sheets

## Quick Overview This workflow ingests construction incident webhooks, normalizes the payload, and uses OpenAI GPT-4o-mini to classify each incident by type and urgency, then routes alerts to Slack and Gmail and logs incidents to Google Sheets, with a daily Slack digest generated from the sheet. ## How it works 1. Receives an incoming incident via a POST webhook. 2. Normalizes the incoming Procore/Fieldwire-style payload into a consistent incident object (ID, title, description, location, reporter, assignee, and timestamps). 3. Sends the incident details to OpenAI (GPT-4o-mini) to classify issue type and urgency and generate a short summary, recommended action, and tags. 4. Routes incidents by urgency, sending Critical incidents to Slack with an @channel mention and emailing details to a project manager via Gmail. 5. Sends High-urgency incidents to Slack as a formatted notice. 6. Appends every incident to a Google Sheets log with status set to open. 7. Runs daily at 18:00 server time, reads the incident log from Google Sheets, builds an urgency-grouped digest, and posts it to a Slack channel. ## Setup 1. Add credentials for OpenAI, Slack (OAuth2), Gmail (OAuth2), and Google Sheets (OAuth2). 2. Copy the webhook URL from the Webhook trigger and register it in your source system (for example, Procore or Fieldwire) as the incident-created endpoint. 3. Replace the placeholder Slack channel IDs for Critical, High, Digest, and Error alerts. 4. Update the Gmail recipient address ([email protected]) to your real project manager email. 5. Set the Google Sheets spreadsheet (document ID) and ensure the target sheet exists with columns that match the incident log fields used by the workflow. 6. Confirm the schedule trigger time (cron: 0 18 * * *) matches your desired timezone/server time for the daily digest.

View

Need Custom Automation?

Get help designing a custom n8n workflow that connects your stack and fits your process.

Classify GitHub issues and create Linear tasks using OpenAI

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How it works

Step-by-step

Why use this?

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Github Trigger

Block 2 - Edit Fields

Block 3 - Information Extractor

Block 4 - Create an issue

Block 5 - Create a comment on an issue

Block 6 - Merge

Block 7 - Code in JavaScript

Block 8 - If

Block 9 - OpenAI Chat Model

Block 10 - Sticky Note6

Block 11 - Sticky Note7

Block 12 - Sticky Note8

Block 13 - Sticky Note9

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions