Skill UI

This skill models the expertise of a senior data scientist, covering the entire data science lifecycle. It provides advanced capabilities in statistical modeling, machine learning (deep learning, XGBoost), predictive analytics, and business intelligence. From raw data exploration (EDA) to deploying production-ready models and creating actionable dashboards, it covers technical depth across Python, R, SQL, and cloud platforms, while applying domain knowledge in finance, marketing, and operations.

This skill guides the process of transforming complex, raw data into compelling, actionable narratives. It covers the core structure (Setup, Conflict, Resolution), narrative arcs, and the three pillars (Data, Narrative, Visuals) needed to create high-impact presentations for executives, investors, and non-technical stakeholders. It ensures insights drive clear decisions.

This tool generates comprehensive trading signals by analyzing multiple technical indicators (RSI, MACD, Bollinger Bands, etc.) across various assets. It combines indicators to produce composite BUY/SELL signals, complete with confidence scores and risk management levels. Use it when analyzing crypto or stock assets to identify high-potential trading entry or exit points.

Fetch real-time and historical equities, forex, crypto, commodities, and economic indicator data through the Alpha Vantage API, plus over 50 technical indicators for charting, research, and automation workflows once you provide an API key.

Conduct rigorous, multi-database literature reviews with systematic workflows, verified citations in styles like APA or Nature, and AI-enhanced schematics for publication-ready markdown and PDF outputs in biomedical and technical domains.

Provides technical analysis for stocks and ETFs using RSI, MACD, Bollinger Bands, and moving averages. Useful for traders who need indicator calculations, buy/sell signals, stock comparisons, and monitoring based on ticker symbols.

This skill provides programmatic access to comprehensive global financial market data via the Alpha Vantage API. Users can retrieve time-series data, including historical prices (OHLCV) for equities, options, forex, commodities, and crypto. It also provides access to fundamental metrics (e.g., P/E ratio, market capitalization), economic indicators (e.g., GDP, CPI), and over 40 technical indicators (e.g., RSI, MACD), making it ideal for quantitative analysis and financial modeling.

This guide provides comprehensive technical instructions for optimizing Palantir Foundry costs. Learn to use incremental transforms to drastically reduce compute rebuilds, right-size Spark profiles based on data volume, and migrate from expensive API polling to efficient, event-driven webhooks, ensuring both cost efficiency and system stability.

This advanced skill is an end-to-end tool for transforming complex research topics into professional, visualized knowledge graph PDFs. It automatically conducts multi-round web searches, extracts key entities, structures related knowledge, and designs the optimal visualization (supporting Graphviz, PlantUML, etc.). Ideal for deep academic analysis, mapping character relationships, or visualizing complex technical architectures where existing structured data is unavailable.

This skill converts complex, narrative technical documents, research excerpts, or natural language problem descriptions into a highly structured Mathematical Problem Specification (MPS). It systematically extracts variables, constraints, objectives, and uncertainty parameters. By adhering to a strict Zero-Inference Protocol, it ensures all extracted elements are strictly grounded in the source text, making it invaluable for formalizing real-world optimization, data science, and engineering problems.

This skill provides comprehensive knowledge of the Power BI Enhanced Report (PBIR) JSON schema. It details the structured metadata for report components, including visuals, pages, themes, bookmarks, and complex formatting rules. Users learn how to read and manipulate the underlying PBIR JSON to understand how Power BI reports are built and customized, adhering to strict technical guidelines and operational best practices.

An interactive workflow for auditing and standardizing naming conventions (tables, columns, measures) in Power BI semantic models (TMDL). It ensures names are human-readable, consistent, and aligned with core business terminology, addressing technical issues like abbreviations, mixed casing, and inappropriate technical prefixes.