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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.

This workflow automatically analyzes and constructs a dependency graph between workflows, helping users identify the callers of sub-workflows and automatically tagging them. Through visual charts, users can intuitively understand the call frequency and structure between workflows, reducing maintenance costs and preventing operational errors. At the same time, this workflow is suitable for teams and enterprises managing complex automation processes, enhancing workflow management efficiency and ensuring the stability and healthy development of processes.

This workflow automatically backs up all workflow configurations to a specified GitHub repository, ensuring data security and version control. Triggered either on a schedule or manually, the workflow processes configuration files one by one, checking for differences with the files on GitHub and performing the corresponding create or update operations. This process effectively manages workflows, prevents data loss, and saves storage resources, making it suitable for teams and individuals that require regular backups and version management.