This workflow is manually triggered and automatically connects to GitHub to retrieve detailed information about a specified repository. Its main function is to use the GitHub API to instantly pull and display the repository status, addressing the cumbersome issue of manual queries and enhancing the efficiency and accuracy of information retrieval. It is suitable for development teams, product managers, and others, allowing for quick viewing of project progress, monitoring status, and can be integrated into more complex automation processes.

This workflow is manually triggered to batch read all JPG image files from a specified path, quickly obtaining the binary data of local images for subsequent processing or storage. It addresses the cumbersome issues of traditional manual operations by enabling one-click reading, thereby enhancing work efficiency. It is suitable for scenarios that require batch uploading, processing, or analyzing local images, simplifying the file reading steps and facilitating further integration of various automation features.

This workflow is designed to automatically monitor the latest release versions on GitHub and regularly check if there are corresponding issues on GitLab. If there are none, the system will automatically create a new issue on GitLab, thereby achieving cross-platform synchronization of release information and issue tracking. This process effectively reduces the complexity of manual operations, enhances the team's efficiency in tracking version updates, and ensures that important release records are not overlooked. It is suitable for development teams that need to manage multiple code hosting platforms simultaneously.

This workflow integrates Sentry.io to automate release version management, simplifying the release process in software development and operations. Users can trigger the process with a single click, automatically creating new release versions and retrieving all historical version information, thereby enhancing the efficiency and transparency of version management. It is suitable for development teams that need to monitor errors and quickly view release records, addressing the issues of cumbersome manual operations and scattered information, and facilitating smooth continuous integration and continuous deployment.

This workflow implements an automatic response feature for WhatsApp messages, capable of receiving messages sent by users through the Meta WhatsApp Business API and replying in kind. It verifies and receives messages through a Webhook node, ensuring real-time data interaction, simplifying the Webhook configuration and message processing flow. This is suitable for automated customer service responses, prototype design, and testing, helping developers quickly build automated message interaction systems, lowering the development threshold, and facilitating the subsequent expansion of complex business operations.

This workflow is designed to monitor changes to the content on the Hacker News homepage in real-time. By regularly scraping data and comparing it, the system automatically identifies updates to the webpage. Once a change is detected, the system immediately notifies users via a Telegram bot, ensuring they stay informed about the latest developments. This automated process significantly enhances the efficiency of information retrieval, making it suitable for tech enthusiasts, product managers, and content planners, helping them easily keep track of important news and updates.

This workflow is designed to automatically capture and record system errors while controlling the frequency of error notifications through database statistics to avoid excessive email alerts. It saves error information to a Postgres database and supports flexible integration into existing processes. Additionally, the workflow provides an automatic cleanup feature for error logs, ensuring a tidy development environment. It is suitable for automated systems that require centralized management of errors and monitoring notifications, enhancing the efficiency and responsiveness of error handling.

This workflow listens for comment events on GitLab merge requests through a Webhook, automatically retrieves code changes, and analyzes the differences. It uses an intelligent language model to review and score each change, generating professional review suggestions, which are then posted back to GitLab as comments, creating a fully automated code review process. This process significantly enhances the efficiency and quality of code reviews, reduces the risk of human oversight, and is suitable for CI/CD processes in software development teams and the maintenance of open-source projects.

This workflow is designed to automate the management of tasks (Issues) on the Taiga project management platform, including the creation, updating, and retrieval of task information. Users can complete the entire process of task management with a single manual trigger, significantly improving project management efficiency and reducing the complexity and errors associated with manual operations. It is particularly suitable for software development teams, product managers, and other users who need to quickly synchronize and manage task information, ensuring timely updates and accuracy of data.

This workflow automates the incident management process, ensuring that incidents marked as resolved in PagerDuty can automatically update the corresponding Jira task status to "Closed" in real-time. Additionally, incident resolution information is instantly pushed to a designated Mattermost channel, helping team members stay informed about the progress of the resolution. This automated process reduces errors caused by manual operations, enhances collaboration efficiency, and addresses the issue of information silos across systems, making it suitable for operations, DevOps, and IT support teams.

This workflow enables the automatic execution of system commands and data processing. It parses the JSON data output from the command line, performing conditional judgments and logical branching control. It is suitable for automated monitoring and script result processing, allowing for flexible integration of command line tool outputs. This is ideal for IT operations and DevOps personnel, enhancing the efficiency of automated processing, reducing human intervention, and enabling dynamic decision-making in complex business scenarios.

This workflow automatically triggers and monitors the execution of specified DAGs by calling the REST API of Apache Airflow, allowing real-time retrieval of task execution results. It has built-in status checks and timeout mechanisms to intelligently handle different states, ensuring the stability and controllability of the workflow. It is suitable for scenarios that require remote triggering and monitoring of data pipeline tasks, improving work efficiency, reducing human intervention, and ensuring the smooth progress of task processes.

This workflow provides a complete set of API backend solutions specifically designed for managing and controlling Docker-based container instances, catering to the integration needs of WHMCS/WISECP modules. Its functionalities include operations such as deploying, starting, stopping containers, mounting disks, managing permissions, and viewing logs. It supports receiving commands through a Webhook API and implements dynamic configuration and access control. Additionally, it integrates an error handling mechanism to ensure efficient and secure operations, providing convenient automated management tools for cloud service providers and IT operations teams.

This workflow is designed to automate the handling of issues and comments in GitHub repositories. It intelligently determines whether a responsible person needs to be assigned and automatically assigns unassigned issues to appropriate users. It can recognize requests from users who proactively claim tasks, avoiding duplicate assignments and significantly enhancing project management efficiency. Whether in open-source projects or internal enterprise development, this workflow helps accelerate response times, reduce the burden on maintainers, and achieve more efficient team collaboration.

This workflow implements automated deployment functionality by monitoring a specific folder in Google Drive, automatically downloading and processing JSON files of n8n workflows. After formatting and cleaning, it uses an API to import the workflows into a designated instance and automatically sets tags. Finally, the deployed files are archived into another folder. The entire process requires no manual intervention, significantly enhancing the efficiency of workflow management and deployment, making it suitable for teams that need to manage and update workflows in bulk.

This workflow automates the processing of GitLab merge requests, intelligently receiving and reviewing code changes. It leverages advanced language model technology to analyze code differences and provide professional review suggestions, generating scores and decisions of "accept" or "reject." The review results are automatically published to the discussion area of GitLab, helping development teams quickly address issues, improve code quality and collaboration efficiency, alleviate the burden of manual reviews, and standardize review criteria. It is applicable in scenarios such as software development, continuous integration, and open-source project maintenance.

This workflow creates a simple API endpoint through a Webhook node, capable of receiving HTTP requests with a name parameter and dynamically generating Google search links as a response. It requires no coding, allowing for the quick setup of a custom query interface, simplifying the complex processes of traditional API development. It is suitable for automation enthusiasts, developers, and educational training scenarios, making it an ideal choice for generating dynamic links.

This workflow automates the scheduled sending of fun messages and images to a designated Discord channel. It is set to trigger at various frequencies, including every Friday and Saturday at 9 AM, as well as every 30 minutes. This approach effectively enhances community engagement and interaction, reduces the hassle of manual operations, ensures the delivery of interesting content at specific times, boosts user participation, and fosters a positive community atmosphere. It is suitable for community management and teams looking to automate message delivery.

This workflow automates the management of tags in the Docker image repository by regularly scanning and deleting expired or redundant tags, while retaining only the latest few and the "latest" tag, thereby keeping the repository tidy. After the cleanup, garbage collection is performed, and the operations team is notified of the results via email, with support for failure alerts. This enhances operational efficiency and space utilization, addressing issues of wasted storage resources and management chaos.

This workflow automatically captures events such as order creation, updates, and refunds by real-time monitoring of the order status changes in Eventbrite. Once a change occurs, the system immediately triggers subsequent automated actions to ensure timely response and processing of order data. This real-time monitoring mechanism significantly enhances order management efficiency, helping event organizers, marketing teams, and finance departments quickly respond to order dynamics, thereby optimizing customer service and financial processes.

This workflow receives external POST requests through a public Webhook and automatically forwards them to local processes. It periodically polls for new requests, automatically manages authorization tokens and request statuses, ensuring reliable data transmission. Users can securely receive and process Webhook notifications in a local environment without the need to set up a public server, making it suitable for various scenarios such as development, testing, and data forwarding, significantly improving work efficiency and lowering technical barriers.

This workflow enables the automatic batch download of multiple specified URL files and merges the individual binary file data into a unified data item, simplifying the file processing process. By manually triggering the workflow, users can conveniently download the required resources, avoiding the inefficiencies and error risks associated with downloading files one by one. It is applicable in various scenarios such as marketing, content management, and data analysis, significantly enhancing work efficiency.

This workflow enables the automatic import of workflows from local files or remote instances. It supports reading and parsing JSON format files, simplifying the migration process across instances or from local files. Users can select the target workflow and manage credential mapping to ensure the validity and security of the imported credentials. The workflow provides instant feedback, enhancing the user experience, and is particularly suitable for team collaboration, workflow sharing, and batch import scenarios, effectively reducing the risks associated with manual operations.

This workflow uses an SSE (Server-Sent Events) trigger to receive event pushes from a specified URL in real-time. It is designed to continuously listen for server events and respond automatically, making it suitable for scenarios that require real-time data updates. The process is straightforward, consisting of only one SSE trigger node, making it ideal for developers, operations personnel, and business teams looking to automate responses to external events. Overall, this workflow helps build real-time monitoring and event-driven automation processes, enhancing response speed and operational efficiency, and can be further expanded to achieve complex automation task chains.