How it works
How it works This workflow automatically handles new GitHub issues by reading and understanding them using AI, then taking multiple actions simultaneously — creating tasks, sending notifications, and keeping everything organized — without any manual effort. Step-by-step Trigger & filter** GitHub Trigger – Listens for issue events on a GitHub repository. If – Filters to only process issues with the action opened. AI analysis** Message a model – Sends the issue title, body, and metadata to GPT-4.1-mini with a structured prompt to extract category, subcategory, severity, priority, estimated effort, assigned team, summary, and suggested action. Parse AI Response – Converts the raw AI text output into a clean structured JSON object and appends a formatted date. Parallel output actions** Append row in sheet – Logs all issue data and AI analysis into a Google Sheets tracker. Create a task – Creates a prioritized ClickUp task with full issue and AI analysis details. Send a message – Posts a formatted Slack alert to #github-alerts with issue details and AI analysis. Send a message1 – Sends an HTML-formatted email via Gmail with the full issue report and AI insights. Create a comment on an issue – Posts the AI analysis summary as a comment directly on the GitHub issue. HTTP Request – Applies AI-generated labels (category + severity) to the GitHub issue via the GitHub API. Why use this? Eliminates manual issue triage by using AI to instantly classify and prioritize every new issue Keeps the entire team informed across Slack, Email, and GitHub simultaneously Auto-creates ClickUp tasks so nothing falls through the cracks Logs every issue to Google Sheets for reporting and trend analysis Responds directly on GitHub so issue reporters get instant acknowledgment. An n8n automation workflow template by Avkash Kakdiya.
Avkash Kakdiya
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