Skill UI

This skill manages a persistent, structured personal knowledge base (Wiki). It provides core operations for ingesting external articles, synthesizing insights from conversations, and querying stored knowledge. By maintaining structured files, index lists, and cross-references, it helps build a comprehensive knowledge graph, ensuring all insights are captured and easily retrievable.

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.

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.

Reads and summarizes local text-based files such as Markdown, JSON, CSV, and source code, including quick type checks and smart tailing for big logs while skipping PDFs, images, and binaries.

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.

Breaks complex software, writing, or research work into small atomic tasks, supplying dependency graphs, milestone breakdowns, and templates so you can plan projects, split features, and organize large workstreams step by step.

Automates WhatsApp Business operations via Composio's Rube MCP toolkit, covering text, template, media, reply, profile, and contact workflows after first querying the latest tool schemas.

Guides Copilot through the WorkIQ CLI/MCP server to fetch live Microsoft 365 data—emails, meetings, docs, Teams chatter, and people info—providing context, summaries, blockers, and follow-up recommendations for planning or action.

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.