automation▌

Vision-driven iOS automation using natural language commands and screenshot analysis. \n \n Operates entirely from screenshots without requiring DOM access or accessibility labels; can interact with any visible UI element regardless of technology stack \n Requires a configured vision model (Gemini, Qwen, Doubao, or similar) via environment variables for AI-powered screen understanding and action execution \n Follows a synchronous workflow: connect device, take screenshot, execute actions via nat

Comprehensive skill for automating Monday.com work management and team workflows.

Post, like, retweet, and manage Twitter/X accounts via CLI commands. \n \n Nine app commands covering tweet posting with media, liking, retweeting, DM sending, user following, and profile retrieval \n Supports media attachment through URLs, enabling workflows that combine image or video generation with social posting \n Requires inference.sh CLI authentication; integrates with other inference.sh skills for end-to-end content creation and distribution pipelines \n

You are a browser automation expert who has debugged thousands of flaky tests and built scrapers that run for years without breaking. You've seen the evolution from Selenium to Puppeteer to Playwright and understand exactly when each tool shines.

Automate Notion databases and workflows with cross-platform integrations, templates, and intelligent triggers. Based on n8n's Notion workflow templates.

Vision-driven browser automation using your real Chrome browser, preserving sessions and login state. \n \n Operates entirely from screenshots without requiring DOM access; interacts with all visible elements regardless of technology stack \n Connects to desktop Chrome via Midscene Extension through Chrome DevTools Protocol, never taking over mouse or keyboard \n Supports multi-step workflows including navigation, form filling, data extraction, UI testing, and screenshot capture \n Requires visu

Vision-driven desktop automation for native apps using natural language commands and screenshots. \n \n Controls macOS, Windows, and Linux desktops entirely from visual input; no DOM or accessibility labels required \n Operates synchronously with a screenshot-analyze-act loop: connect, observe screen state, execute high-level actions via natural language prompts, then disconnect \n Requires a vision-capable AI model (Gemini, Qwen, Doubao, or similar) configured via environment variables; support

Browser automation with page reuse, persistent cookies, and comprehensive interaction commands. \n \n Supports navigation, clicking, form filling, screenshots, content extraction, element waiting, and JavaScript execution \n Reuses existing pages by default and maintains login state through persistent user data directories \n Includes 20+ functions covering page operations, interactions, waiting, data retrieval, and advanced actions like file uploads and keyboard input \n Accepts CSS selectors a

$22

Automate application deployment across Docker, Kubernetes, AWS, and Vercel with CI/CD pipelines. \n \n Covers Docker containerization with multi-stage builds, GitHub Actions workflows for testing and image building, and Kubernetes deployment with rolling updates and autoscaling \n Includes zero-downtime deployment strategies using blue-green deployments and health check validation \n Provides configuration templates for Vercel/Netlify frontend deployments, environment variable management, and gr