Skill UI

This skill enables the proactive, one-way sending of messages to specific users, sessions, or channels (e.g., Feishu, Discord). It is ideal for automated notifications, task completion alerts, or status updates when a reply is not expected. Before sending, the workflow requires querying available sessions to obtain necessary target IDs.

A comprehensive skill designed for managing scheduled and recurring automated tasks. It allows users to set up jobs that execute automatically at specific future times or repeat on a defined cycle (daily, weekly, etc.). Use cases include setting automatic reminders, generating periodic reports, and executing long-term workflows. It supports both classic cron recurrence and calendar-style scheduling, ensuring precise and reliable automation.

This skill aggregates and summarizes the latest news from multiple authoritative Chinese sources across various categories, including Politics, Finance, Society, World, Tech, Sports, and Entertainment. It utilizes web browsing tools to open specified URLs, take content snapshots, and extract key headlines and detailed summaries, providing the user with a concise, structured report.

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.

Automates Zoho CRM operations through Rube MCP's Composio toolkit, letting you search, create, update, convert, and tag records by calling the outlined workflows while respecting schema discovery and authentication steps.

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.

This technique teaches the user how to pinpoint an exact location by cross-referencing multiple unique surrounding features, such as specific types of businesses (e.g., law firms, restaurants) or natural landmarks (e.g., rivers, mountains). Instead of relying on a single clue, the power lies in the combination of these details, which often creates a unique geographic signature to narrow down the general area to the precise spot.

Expert technique for narrowing down Asian drama candidates by leveraging streaming platform and broadcast channel information. Use this when the query mentions services like Netflix, Viki, or Amazon Prime, combined with genre and year details. This method significantly increases search precision, especially when combining platform data with temporal or thematic keywords.

This skill analyzes cultural clues within a query to determine the potential origin (e.g., Korean, Turkish, Indian, Thai) of a non-English TV drama. By identifying specific regional indicators—such as actor naming conventions, cultural themes, or broadcast channels—the system can generate highly precise, region-specific search keywords. This drastically improves search accuracy when the source country is not explicitly mentioned.

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.

This technique optimizes search precision when querying blog posts or articles. By wrapping unique phrases, specific titles, or direct quotes in quotation marks, the system treats the phrase as a single, exact unit. This prevents the search engine from breaking the phrase into individual words, which dramatically reduces noise and increases the likelihood of finding the intended source material.