Create, read, edit, validate, and format professional Excel spreadsheets (.xlsx, .xlsm, CSV) with zero format loss, financial-grade styling, and formula validation -- all without openpyxl's destructive round-trip behavior.

This skill provides comprehensive documentation and SDK references for Azure AI services including Search, Speech, OpenAI, Vision, Translation, and Document Intelligence. It helps developers quickly find the right APIs and code patterns for their AI solutions.

Traders need consistent technical analysis across multiple frameworks but spend hours switching tools. This skill unifies candlestick, Ichimoku, Elliott Wave, Chan Theory, and Turtle Trading analysis in a single conversational workflow backed by Longbridge market data.

Managing a Longbridge account across multiple sub-accounts, asset classes, and order types is complex. This skill provides structured access to account data, position analysis, and portfolio optimization frameworks through natural language.

Access real-time quotes, K-line charts, order book depth, and IPO calendars for global markets directly in your AI assistant. Eliminates the need to switch between multiple trading terminals for basic market data queries.

Access comprehensive financial data and valuation analysis for global stocks without manual research. This skill orchestrates Longbridge CLI and MCP tools to deliver financial statements, valuation metrics, and company insights in seconds.

Investors need fast, structured earnings analysis but manually reading through filings and transcripts is time-consuming. This skill delivers pre- and post-earnings analysis with beat/miss tracking, segment breakdowns, and valuation models in seconds.

Investors need quick access to news, regulatory filings, and community sentiment for any stock. This skill fetches all of that from Longbridge in one prompt, with structured classification and bilingual output.

Get instant access to real-time market data, fundamentals, news, and portfolio analytics across US, HK, CN, and SG markets. This skill enables Claude to query the Longbridge financial platform for quotes, filings, insider trades, and account information.

Creating AI-generated images and videos typically requires navigating complex platforms and writing detailed prompts. This skill connects directly to liblib.tv's API, letting you generate and edit visual content through natural language commands.

Access 210,000+ source products from the LegendShop supply chain platform directly through conversation. Get real-time product details, pricing, inventory, and account balances without manual API integration.

Manual schema design is error-prone and hard to visualize. DB Craft provides a local visual workspace to design MySQL, PostgreSQL, SQLite, and MSSQL schemas with AI assistance, then export production-ready SQL.

The ZINC database contains 230M+ purchasable chemical compounds for drug discovery research. This skill provides programmatic access to search by ZINC ID, SMILES, or supplier code, retrieve 3D structures, and perform similarity searches for virtual screening and molecular docking studies.

Working with large datasets that exceed memory limits. Zarr-python enables chunked array storage with compression for efficient cloud-native scientific computing workflows.

This skill enables creating, editing, and analyzing Excel spreadsheets with formulas, formatting, and data analysis. It also recalculates formulas and verifies zero errors for publication-quality outputs.

Processing large tabular datasets that exceed RAM requires specialized tools. Vaex enables out-of-core DataFrame operations, lazy evaluation, and billion-row-per-second processing on datasets too big for memory. Perfect for astronomical data, financial time series, and large-scale scientific analysis.

High-dimensional data is difficult to visualize and analyze. UMAP reduces dimensions while preserving structure, enabling clear 2D/3D visualizations and better clustering results.

Graph Neural Networks power modern applications like drug discovery, social network analysis, and recommendation systems. This skill provides ready-to-use templates and documentation for implementing GNNs with PyTorch Geometric.

Need exact mathematical results instead of numerical approximations. This skill provides comprehensive guidance for symbolic algebra, calculus, equation solving, matrix operations, and physics calculations using Python SymPy library.

Perform rigorous statistical analysis using OLS, GLM, ARIMA, and discrete choice models. Get publication-ready results with full diagnostics, coefficient tables, and residual analysis.