Vibium is a powerful browser automation tool designed for both AI agents and human users, streamlining repetitive tasks and enhancing productivity. With its strong capabilities, Vibium helps teams to automate workflows and improve efficiency in various applications.
claude install VibiumDev/vibiumhttps://github.com/VibiumDev/vibium
["1. Open Vibium and create a new automation workflow.","2. Select the 'Web Scraping' option and enter the URL of the website you want to scrape.","3. Use the point-and-click interface to select the specific data points you need, such as revenue, expenses, and profit margins.","4. Set the frequency of the task to run weekly and choose the destination folder for the exported data.","5. Format the output data to ensure it is compatible with Productiv for seamless integration."]
Automate data entry tasks in web applications to save time and reduce errors.
Scrape web data for market research, gathering insights quickly and efficiently.
Test web applications for functionality, ensuring that all features work as intended.
Automate repetitive browsing tasks, such as filling out forms or navigating through multiple pages.
claude install VibiumDev/vibiumgit clone https://github.com/VibiumDev/vibiumCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Automate the process of extracting financial data from [WEBSITE] using Vibium. Set up a workflow to scrape [SPECIFIC_DATA_POINTS] such as revenue, expenses, and profit margins. Schedule this task to run [FREQUENCY] and export the results to [DESTINATION] in [FILE_FORMAT]. Ensure the data is formatted for easy integration with Productiv for further analysis.
The Vibium automation workflow has been successfully set up to extract financial data from the specified website. The workflow is configured to scrape revenue, expenses, and profit margins on a weekly basis. The data will be exported to a CSV file and saved in the designated Google Drive folder. The CSV file is formatted with headers for easy integration with Productiv for further analysis. The automation will run every Monday at 9 AM and send a notification upon completion.
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