Skill UI

Automates Calendly scheduling, event inspection, invitee management, availability queries, and organization administration via the Rube MCP (Composio) toolkit, requiring a prior schema fetch and active Calendly connection.

Automates Slack messaging, search, channel management, reactions, and threads via Rube MCP (Composio), enabling scripted posts, queries, and workspace ops once RUBE_SEARCH_TOOLS and Slack connections are active.

Use this helper to search ten academic paper databases via their REST APIs whenever you need research papers, preprints, citation data, metadata, or open-access PDFs; it routes DOI/PMID/author/topic queries to the right endpoints and returns raw JSON plus the queried databases/paths.

Provides a quick CLI summary of unread Gmail inbox messages (sender, subject, date), letting you limit results, filter queries, and optionally show labels for productivity workflows.

Use the OpenViking CLI to search memories, skills, and resources with semantic and literal queries across directories, surfacing context-aware results whenever agents need stored knowledge or documentation.

Queries Google Calendar free/busy slots for multiple attendees so you can spot overlapping availability and insert a meeting event when a shared slot appears.

This guide details advanced techniques for searching cricket matches by leveraging precise numerical scoring data. Instead of broad terms, users should utilize specific details—such as team totals (e.g., 168/9), runs off balls, wickets taken, or over details—combined with the match type and year to create highly targeted search queries. This method significantly improves search accuracy and efficiency when researching sports statistics.

This technique guides users on decomposing multi-constraint questions, especially in the domain of football trivia or historical research. Instead of searching all criteria simultaneously, it instructs users to rank constraints by distinctiveness (e.g., specific match results first, then historical milestones). By performing incremental, cascading searches, the system dramatically narrows down the result set, leading to more accurate information retrieval.

A guide for refining search queries when researching Indian or South Asian actors. It emphasizes the necessity of including domain keywords such as "Bollywood," "Hindi film," or specific Indian award names (e.g., "Filmfare Award") to filter out irrelevant Western search results and drastically improve search precision.

A comprehensive tool for managing the entire lifecycle of Feishu Bitable (multi-dimensional table) databases. It supports creating, querying, updating, and deleting records, and managing table fields and views. Ideal for automating complex data workflows, batch data imports, and advanced structured data queries within the Feishu ecosystem.

This skill guides the identification and search for specialized crew members (such as production controllers, costume designers, music directors) in South Asian cinema. It is essential when a question focuses on technical roles rather than just the director or lead actors. By using specific search queries on reliable databases (like IMDb or Wikipedia) after identifying the film, users can efficiently locate detailed production credits.

This comprehensive workflow provides core CRUD (Create, Read, Update, Delete) operations for Notion integrations. It allows users to perform complex database queries using nested filters (AND/OR) across various property types (select, date, number, etc.). Furthermore, it facilitates the structured creation and updating of pages, making it essential for automating data management, content generation, and complex information retrieval within Notion.