Skill UI

This guide provides proven architectural patterns for building complex, reliable, and scalable workflows using n8n. It covers core patterns like Webhook processing, HTTP API integration, database synchronization, AI agent design, and scheduled tasks. Learn how to select the right pattern and utilize advanced components for robust automation.

This skill provides comprehensive automation for managing OneDrive file lifecycles. Users can perform advanced operations including searching across metadata and content, uploading and downloading files, organizing folders, creating share links, and granularly managing permissions for specific users. It utilizes a structured workflow approach via Rube MCP, making it ideal for automating business processes involving cloud document storage and collaboration.

This tool acts as an expert prompt engineer, guiding users through a systematic discovery process to create highly structured, production-ready prompts for AI assistants like GitHub Copilot. It covers defining persona, specifying complex tasks, managing context variables, integrating tools, and enforcing strict output standards, ensuring the resulting prompt is comprehensive and actionable for advanced AI agents.

This skill provides detailed control over the browser launch process using `browser.start`. Users can specify whether the window should be visible (`headed: true`) or manage advanced debugging by providing an explicit `cdp_port`. It is crucial for automation workflows that require visual verification or need to integrate with external local debugging tools.

This skill is dedicated to managing all scheduled and recurring tasks. It allows users to automate actions—such as sending fixed messages or executing agent queries—at specific future times or on regular intervals (daily, weekly, hourly). Use it for setting automated reminders, generating periodic reports, or managing long-term background processes.

This skill automates the entire process of creating and integrating a DingTalk application and binding a QwenPaw bot. It utilizes a headed browser mode and manages complex user flows, including pausing for manual login confirmation and ensuring all configuration changes are properly published. It supports customizing app details, uploading required images, and setting up the bot capability, making the setup process seamless and robust.

A comprehensive automation skill for managing core business processes within the Square ecosystem. It enables users to list, monitor, cancel payments, search and update customer orders, manage business locations, and handle invoices. Designed for complex, multi-step workflows, ensuring robust handling of parameters, versioning, and pagination for reliable commercial operations.

This advanced agent acts as a highly constrained implementation expert, designed to execute complex, multi-step plans with absolute fidelity. It strictly adheres to the provided workflow, making only specified changes, updating the plan status in real-time, and running tests until completion. Ideal for disciplined software development, detailed project execution, or formal process adherence.

A comprehensive, five-stage methodology for reviewing code quality. This process systematically checks for requirements compliance, logical correctness, code maintainability, test coverage, and critical security/performance vulnerabilities. It provides actionable feedback categorized by severity (Blocker, Major, Minor, Nit), ensuring high standards for all merged code.

This comprehensive tool suite provides programmatic automation for Todoist task management. Users can manage the entire task lifecycle, including creating, updating, completing, and deleting tasks. It also supports structured organization by managing projects and sections, and filtering tasks using advanced workflows. Ideal for integrating task management into automated business processes or applications.

Process videos, audio, images, and documents on Transloadit’s cloud using 86+ robots to encode formats, generate thumbnails, resize/watermark, run OCR, speech-to-text, moderation, and chain multi-step pipelines for scalable media automation.

This guide provides a comprehensive template and best practices for updating technical specification files. It ensures that the resulting documentation is structured, unambiguous, and highly optimized for consumption by Generative AI models. Use this process when refining system requirements, updating interfaces, or documenting architectural changes to maintain machine-readable standards.