Skill UI

This skill enables implementing data quality validation using Great Expectations, dbt tests, and data contracts. It is used for building reliable data pipelines, setting up validation rules, and establishing data contracts between teams. It includes automating validation in CI/CD and monitoring data quality metrics to ensure data reliability in production environments.

Expert data scientist for advanced analytics, machine learning, and statistical modeling. Guides the full workflow from exploratory data analysis to production deployment, covering experimentation, forecasting, NLP, and business intelligence for actionable insights.

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.

A guide to production-ready patterns for dbt (data build tool). It covers essential practices for robust data pipeline development, including model organization (staging, intermediate, marts), implementing advanced testing strategies, ensuring data quality, and optimizing incremental processing for large datasets.

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.

Extract structured tabular data from PDFs, spreadsheets, and images using layout-aware detection and configurable table models. Supports markdown and JSON output formats with detailed cell access.

HasData is a comprehensive cloud platform designed for extracting structured public web data. It supports three core execution modes: Web Scraping API for arbitrary URLs (including JS rendering), pre-parsed Scraper APIs for known platforms (like Google or Amazon), and asynchronous Scraper Jobs for bulk or recursive crawling. Ideal for market research, e-commerce intelligence, job data collection, and local business lead generation.

Use the HasData CLI to access real-time, structured web data from major platforms. This tool provides dedicated subcommands for various APIs (including Google SERP, Amazon, Zillow, Booking, etc.), enabling users to automate data collection, scrape specific URLs, and retrieve structured information like local business listings, product pricing, and real estate data directly from the command line.

Analyze health data trends and patterns over time, including weight, symptoms, medications, and lab results. Identify correlations and significant changes to provide data-driven insights. Supports multi-dimensional analysis and generates interactive HTML visualization reports using ECharts. Ideal for tracking health improvements and monitoring risks.

Aggregates official auctioneer information from all 27 Brazilian Commercial Boards into a SQLite store, exposes a FastAPI REST interface, and enables CSV/JSON exports plus customizable scraping per state.

The official skill collection for Longbridge Securities, offering over 125 agent skills. It provides comprehensive financial analysis across multiple markets (HK, US, A-share, SG), including real-time quotes, advanced charting, company fundamentals, portfolio management, and options analysis. Supports trilingual interaction (Simplified/Traditional Chinese/English), making it an essential resource for global investors and financial analysts.

This skill provides quantitative analysis frameworks and CLI indicator scripting via Longbridge. It supports pairs trading, volatility strategies, multi-factor models, and statistical methods like ADF/GARCH. Users can run scripts against K-line data for strategy optimization, hedging, and ML-based prediction without requiring login. Ideal for quantitative finance workflows.