Skill UI

This expert tool orchestrates the complete onboarding experience for new team members in technical or remote-first organizations. It provides a structured roadmap covering pre-arrival preparation (access setup, documentation), Day 1 orientation, technical stack immersion (CI/CD, codebases), and cultural integration (buddy system). Use this when you need a comprehensive, step-by-step guide to rapidly transition new hires into productive, integrated team members.

This skill leverages artificial intelligence to automate the creation of professional PowerPoint presentations. It performs deep document analysis to extract key insights, structure the narrative, and incorporate styled, relevant images, transforming source documents into polished, ready-to-use visual presentations efficiently.

Prepares structured meeting materials by pulling context from Notion, enriching it with Claude research, and publishing both an internal pre-read and an external agenda so every participant arrives informed.

Codified expertise for orchestrating the full returns lifecycle—from authorisations and inspection through disposition, refunds, fraud detection, and warranty claims—to balance customer satisfaction with margin protection across retail, e-commerce, and omnichannel operations.

Draws four cryptographically random Tarot cards and reads their meanings to orient choices when prompts are ambiguous, indecisive, or explicitly ask for fate-based guidance, then narrates how the spread maps to next steps.

Summarizes any requested week, month, quarter or year into a factual financial narrative, comparing current results to prior and year-ago periods while flagging anomalies and recurring bills.

This skill automates the end-to-end academic paper writing process. It transforms raw narrative reports, research ideas, or existing plans into polished, submission-ready LaTeX source and PDF. The comprehensive pipeline includes planning, figure generation, structured writing, compilation, and an advanced improvement loop, allowing users to achieve publication-quality results. Users can optionally guide the structural style using a reference paper.

This skill analyzes a recorded video of a manual, repetitive process. It extracts visual frames and transcribes audio narration to reconstruct the step-by-step workflow, identifying applications used, data flow, and pain points. Based on a detailed understanding of the process, the assistant proposes targeted, working automation scripts using tools already available on the user's machine.

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 technique leverages structured data from music awards (like Grammy nominations and wins) to act as powerful search anchors. By extracting clues such as the award category, year, and status (nominated/won), users can cross-reference potential musicians against verifiable award databases. This method significantly narrows down the pool of candidates, allowing for highly accurate identification and verification of artists.