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.

This workflow automatically listens for Pull Request events in GitHub and retrieves the corresponding contacts in the Pipedrive CRM system based on the email of the PR submitter. If a contact is found, the system adds PR-related notes to their record, ensuring that development activities are synchronized in real-time with customer information. This automation significantly enhances the collaboration efficiency between the software development team and the sales team, reduces errors caused by manual operations, and helps the company better manage customer relationships and project progress.

This workflow automatically backs up all workflows to a designated GitHub repository, ensuring data security and version management. Through scheduled triggers, the system checks for the existence of backup files and content differences, performing incremental updates and commits to keep the repository in sync with the workflows. This process simplifies backup operations and reduces the risk of data loss due to human error or failures, making it suitable for operations personnel, DevOps teams, and individual developers, thereby enhancing the security and traceability of the workflows.

This workflow implements the integration of HubSpot chat with the OpenAI intelligent assistant, automatically handling customer inquiries and providing instant responses. It manages chat thread IDs through Airtable to ensure continuity of conversation context. Additionally, it supports calling external APIs based on OpenAI's feedback to expand functionality and enhance the intelligence level of customer interactions. This solution is suitable for automating customer service, sales assistance, and real-time data queries, aiming to improve customer satisfaction and operational efficiency.

This workflow enhances the code quality and efficiency of GitLab merge requests through automated reviews and risk assessments. It utilizes advanced AI models to analyze code changes, providing detailed risk levels, issue diagnostics, improvement suggestions, and test cases. The review results are returned to the MR page in the form of structured comments and are communicated to relevant developers and QA personnel via email, ensuring timely sharing and response. This optimizes team collaboration, reduces reliance on manual processes, and achieves intelligent code quality assurance.

This workflow is manually triggered and uses a built-in Function node to automatically obtain the current date and the day of the week, outputting a standard ISO format date string and the English name of the weekday. It effectively addresses the need for dynamic date and weekday information in automated processes, eliminating the need for manual input and improving the accuracy and timeliness of data processing. It is suitable for various scenarios such as scheduled reports and task scheduling.

This workflow is manually triggered to send a "Hello World!" message to a specified Discord channel, enabling quick message delivery. Users simply need to click the trigger to automatically send the message, eliminating the cumbersome steps of manually entering Discord. It provides a convenient solution for developers, team members, and community administrators when testing or verifying automated message delivery.

This workflow automatically fetches the latest content from specified RSS feeds every 5 minutes, intelligently filtering out new entries that have not been previously captured. It extracts accompanying images to ensure that the real-time updated information is visually rich. By comparing with historical records, it avoids the push of duplicate content, enhancing the efficiency of information retrieval. This is suitable for news websites, content aggregation tools, and social media operations, helping users quickly capture and showcase the latest news.

This workflow automatically monitors multiple preset GitHub repositories every day, checking for the latest released versions and sending instant notifications via Slack. It effectively determines whether there is a new version for the day, avoiding duplicate reminders and ensuring that team members are promptly informed of key updates. This tool significantly reduces the time spent on manual checks and improves the efficiency of information delivery. It is suitable for software development, operations teams, and technical personnel who focus on version dynamics, supporting agile development and collaborative work.

This workflow can automatically activate and deactivate specified automation tasks based on a custom Cron expression, ensuring they run during scheduled working hours. By calling the API, users can precisely control the active periods of the workflow without manual intervention, enhancing system resource utilization efficiency, reducing operational costs and potential risks. It is suitable for enterprises and teams that require time management for automated tasks.

This workflow implements automated version comparison and synchronization features, capable of intelligently detecting the status of corresponding files in the workflow and the GitLab repository. It identifies whether the workflow is new, identical, or has been changed, and automatically creates or updates files based on this assessment to ensure version consistency. The workflow also includes an error handling mechanism that effectively captures and reports exceptions, thereby reducing manual maintenance costs and error risks, while enhancing team collaboration efficiency.

The main function of this workflow is to automatically send log information to the BetterStack log management platform via HTTP POST requests, enabling centralized collection and management. Users can choose to call it as an independent workflow or embed it into other workflows, facilitating real-time reporting of errors and status logs. Additionally, the built-in testing node makes it easy to debug and verify configurations, enhancing operational efficiency and system stability. This is suitable for teams and enterprises that require unified log monitoring.

This workflow automatically triggers continuous integration build tasks by listening for code commit and pull request events in a specified GitHub repository, effectively enhancing code quality and delivery efficiency. It automates operations, reducing the cumbersome steps of manually triggering builds, making it suitable for software development teams and operations engineers. This helps them ensure automated testing and building after code changes in collaborative projects. Secure authentication is implemented to ensure the reliability of operations.

This workflow automates the code review process of GitHub Pull Requests by utilizing OpenAI's GPT-4 model to generate intelligent review comments, which are then directly posted as comments. Additionally, it incorporates coding best practices from Google Sheets to ensure the professionalism and consistency of the reviews. After the review, the workflow adds a "ReviewedByAI" label to the relevant PRs, optimizing management and tracking, and significantly enhancing the efficiency and quality of code reviews, making it suitable for software development teams and open-source projects.

This workflow quickly triggers vulnerability scan requests through Slack, allowing users to conveniently fill in parameters and automatically initiate Qualys virtual machine scans. It implements scheduled polling of the scan status to monitor progress and processes the results in JSON format. Ultimately, it pushes the scan summary and report links to a designated Slack channel, facilitating real-time information access for the team. This process greatly simplifies operations for the security team, improves efficiency, and reduces human errors, making it an important tool for enterprise security protection.

This workflow is manually triggered to generate a set of data containing different IDs, and it utilizes conditional judgments to implement branching processing. Based on the different IDs, corresponding name fields are set, demonstrating the basic usage of conditional judgments and multi-branch processing. This process is suitable for automated tasks that require different operations based on data content, helping users flexibly respond to various business scenarios and enhancing the intelligence and adaptability of the workflow.

This workflow enables automated interaction with the Brave search engine through the Telegram chat interface. Users can quickly obtain search results by simply sending the command “/brave query content,” eliminating the need for conventional multitasking. By automatically cleaning the command text, it ensures the accuracy of the search keywords. It is suitable for users, community operators, and developers who need to quickly access information in a chat environment, enhancing the convenience and responsiveness of information retrieval.

This workflow is designed to automatically capture and handle errors that occur in other workflows, generate detailed error information, and send alert notifications through a specified Slack channel. Users can quickly learn about workflow failures, error nodes, and specific error details, thereby improving fault response speed. With a unified error capture and notification mechanism, it helps the team quickly locate and fix issues, making it suitable for scenarios that require real-time monitoring and collaborative handling of automated processes.

This workflow automatically extracts articles published yesterday from a specified RSS feed every morning, formats them, and pushes them to a designated Slack channel. This automation process helps the team efficiently obtain and share the latest updates, avoiding manual searches and improving the speed and accuracy of information dissemination. It is suitable for fields such as content operations, technical research and development, and marketing, ensuring that team members can stay informed about important information in a timely manner.