The first browser AI Agent extension to support Agent Skills, enabling AI to perform complex tasks through an expandable skill system. Star if you like it! | 首个支持 Agent Skills 的浏览器 AI Agent 扩展,让 AI 通过可扩展技能系统执行复杂任务 如果喜欢请点个 Star!
git clone https://github.com/Castor6/tactus.gitThe first browser AI Agent extension to support Agent Skills, enabling AI to perform complex tasks through an expandable skill system. Star if you like it! | 首个支持 Agent Skills 的浏览器 AI Agent 扩展,让 AI 通过可扩展技能系统执行复杂任务 如果喜欢请点个 Star!
["Install the tactus browser AI Agent extension from the Chrome Web Store or GitHub releases.","Open the tactus sidebar and select the 'Skills' tab to browse available skills or upload a custom skill file (JSON format).","Click 'Run Skill' and paste the prompt template (e.g., 'Use tactus to automate [TASK] on [WEBSITE/PLATFORM]').","Review the agent’s actions in real-time via the tactus UI and pause/stop if needed. Export results (e.g., CSV, JSON) directly from the extension.","For recurring tasks, save the skill configuration as a preset and trigger it via keyboard shortcut or scheduled automation."]
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/Castor6/tactusCopy 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.
Use the tactus browser AI Agent extension to automate [TASK] on [WEBSITE/PLATFORM]. For example: 'Use tactus to automate the process of extracting product details and pricing from a competitor’s e-commerce site and save the data to a structured CSV file.'
I’ve automated the extraction of product details from [CompetitorX.com](http://competitorx.com), a leading e-commerce platform for electronics. The tactus agent navigated to the site, applied a pre-configured skill to filter products by category (e.g., 'wireless headphones'), and extracted 47 product entries, including titles, prices, ratings, and availability status. Each entry was validated for accuracy—ensuring no duplicates or missing fields—and formatted into a CSV file with columns: Product Name, Price (USD), Rating (out of 5), Stock Status, and Product URL. The file was saved to `~/Downloads/competitor_products_2024-06-10.csv`. A summary report was generated, highlighting the lowest-priced item ($49.99) and the highest-rated item (4.8/5). The entire process took 2 minutes and 12 seconds, with zero manual intervention required.
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