GitHub Event Trigger

This workflow implements an intelligent automatic retry mechanism that effectively manages exceptions in automated tasks. It differentiates between "known errors" and other errors; for unknown errors, it will automatically retry until the maximum number of attempts is reached, while known errors are directly marked and skipped for retry. This design enhances the stability of the process and the efficiency of resource utilization, making it particularly suitable for scenarios such as API calls and data synchronization, ensuring a quick recovery in the event of temporary failures.

This workflow monitors the Netlify deployment status in real-time. In the event of a deployment failure, it immediately sends a detailed notification via Slack, including the site name, error message, and deployment link. This automation significantly enhances the team's response speed to deployment issues, ensuring that critical failure information is not overlooked. It is suitable for website development and operations teams, helping to quickly identify and resolve problems, thereby ensuring the smooth progress of project launches.

This workflow automatically queries the execution records of a specified workflow every week, filtering out the failed executions from the past week, and sends a summary report to the user via Telegram. This feature helps users stay informed about any anomalies in workflow operations, improves operational efficiency, and reduces the risk of business interruptions. It is suitable for automated operations teams and enterprise users who need to track process status. Through this automated mechanism, users can effectively monitor the health status of workflows without manual intervention.

This workflow automatically queries detailed information for a specified GitHub username by receiving user commands in Slack, and sends the organized information back to Slack as a message, making it easy for team members to quickly access developer information. It effectively addresses the cumbersome process of manually searching for information, enhancing communication efficiency and collaboration experience. By integrating Webhook triggers, flexible GraphQL queries, and custom functions, it ensures that the information is accurate and free of redundancy, making it suitable for various scenarios such as development teams, project managers, and human resources.

This workflow focuses on the automatic capture and processing of error events from other workflows, generating real-time error alert messages and sending them to designated groups via Telegram. This mechanism effectively shortens fault response time, enhances system stability, and ensures that operations and business personnel can promptly understand issues. It is suitable for automated process monitoring, unified error management, and status tracking for DevOps teams. With simple configuration, users can achieve efficient error notifications, ensuring business continuity.

This workflow regularly fetches the latest open issues with the "Bug" label from a specified GitHub repository, focusing on critical issues with fewer than 5 comments. It automatically retrieves and filters qualifying issues every 10 minutes, pushing their titles and links in real-time to a designated Telegram user for quick bug monitoring and notifications. This approach helps the development team stay informed about important defects in the project, enhances issue response speed and communication efficiency, and simplifies the manual monitoring process.

This workflow regularly monitors the RSS Feed of n8n's official GitHub Releases, automatically filtering for new version information containing specific keywords that were released on the same day. It sends push notifications through a Telegram group and AWS SES email to ensure that users are promptly informed of important updates. It supports scheduled daily runs as well as manual triggers, helping operations and development personnel efficiently track the status of the tool, enhancing the timeliness and convenience of information retrieval, and avoiding the need for frequent manual checks.

This workflow is triggered with a single click, allowing for the retrieval, creation, and updating of user information. It demonstrates an efficient process using HTTP request nodes for REST API chaining. The workflow supports retrieving user lists, adding new users, and updating user information, automatically linking the operational steps to ensure a smooth data flow. It significantly enhances the efficiency and accuracy of user data management, making it particularly suitable for scenarios that require frequent maintenance of user information, reducing human errors and ensuring real-time data updates.