Extract meaning from images without manual effort. This skill analyzes photos, screenshots, charts, and mockups using the MiniMax vision MCP to provide detailed descriptions, text extraction, and design feedback.

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.

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.

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.

Stop guessing which statistical test to use. Get guided test selection, assumption checking, and APA-formatted results for your research data. Perfect for students and researchers who need rigorous statistical analysis.

SimPy enables you to model complex systems with processes, queues, and shared resources. Simulate manufacturing lines, service operations, network traffic, and logistics to optimize performance before implementation.

Machine learning models often act as black boxes. SHAP provides a unified framework to explain any model prediction by computing feature contributions using Shapley values from game theory. Use this skill to visualize feature importance, debug model behavior, and implement explainable AI.

Survival analysis handles data where events may not have occurred for all subjects. This skill provides Python tools for time-to-event modeling with censored data using Cox models, Random Survival Forests, SVMs, and specialized evaluation metrics like concordance index.

Process biological sequences, calculate diversity metrics, and perform statistical tests on microbiome and ecological data. This skill provides comprehensive guidance for bioinformatics workflows including sequence alignment, phylogenetic analysis, and ordination.

Single-cell RNA sequencing generates complex datasets requiring specialized analysis. This skill provides a complete workflow for quality control, dimensionality reduction, clustering, and visualization of single-cell gene expression data.

Analyze biological pathways and gene lists using Reactome database. Perform pathway enrichment analysis, map genes to pathways, and explore molecular interactions for systems biology research.