Skill UI

Loads two tabs from a Google Sheet, compares their rows with gws-sheets commands, and highlights differences to support audits or cross-period updates.

Automatically locate Gmail messages that include attachments, download the files, and upload them into a designated Google Drive folder to centralize client documents.

This comprehensive toolkit provides full automation capabilities for Dropbox operations. Users can search for files and folders by content or metadata, upload and download large files, manage folder structures (create, move, delete), and generate secure sharing links. It streamlines collaboration and data transfer workflows, making it essential for automated business processes and cloud file management.

This toolkit provides comprehensive automation capabilities for Box cloud storage. It allows users to manage the entire document lifecycle, including file uploading and downloading, deep content searching using metadata filters, creating and modifying folders, and managing collaboration permissions. Ideal for integrating Box into automated business workflows, ensuring documents are always accessible and organized.

This tool searches the current GitHub repository and retrieves all issues explicitly assigned to the user. It goes beyond simple listing by analyzing key issue metadata—such as age, comment volume, and current status (open/closed)—to proactively suggest which issues require immediate attention or focus. It is indispensable for contributors, project managers, or developers who need a quick, prioritized overview of their assigned workload.

Automates YouTube workflows through the Rube MCP/Composio toolkit, covering uploads, playlist management, content search, analytics, subscriptions, and comments while respecting tool schemas and quota-aware practices.

A comprehensive guide to creating, managing, and processing ClickUp webhooks. Learn how to set up real-time HTTP POST notifications for resource changes (tasks, lists, spaces). This is essential for implementing two-way synchronization, building external automation workflows, and processing detailed event payloads for seamless system integration.

This comprehensive skill is designed to retrieve content from various Feishu cloud documents, returning the raw Markdown format. It provides advanced logic for handling Wiki URLs by first determining the actual document type (Docx, Sheet, Bitable) before calling the appropriate specialized tool. Furthermore, it guides the user on how to separately download and process embedded media like images, files, and whiteboards using dedicated media tools.

A comprehensive guide for accessing and managing Feishu IM messages. This skill allows users to retrieve historical chat records from both group and private conversations, read detailed thread replies, and conduct cross-conversation searches using keywords or time filters. It also supports downloading all types of embedded media, including images, files, audio, and videos, ensuring complete information recall.

This skill restructures AI-generated content to maximize cognitive accessibility, specifically optimized for users with ADHD or neurodivergence. It uses evidence-based techniques such as chunking, visual hierarchy, front-loading key points, and progressive disclosure. It offers three distinct modes (clean, flow, zen) to tailor the output structure, ensuring that complex information is highly digestible and easy to follow.

This workflow manages the collaboration and lifecycle of diagrams created in Lucidchart. Users can invite specific collaborators with tailored, role-based permissions (e.g., editor, viewer, commenter). It allows for setting granular access controls, such as restricting downloads, limiting link sharing, or setting document expiry dates. Furthermore, it enables tracking revision history and managing comment threads, ensuring secure and organized team knowledge sharing.

This skill extracts full transcripts and rich metadata from a single YouTube video URL. It uses yt-dlp to download subtitles, cleans VTT timing markers, and pulls video details (title, channel, date). The output is a structured, queryable Markdown file, ideal for populating a personal knowledge vault and enabling downstream knowledge graph extraction or content repurposing.