Skill UI

Seaborn is a high-level Python data visualization library built on Matplotlib, designed for creating aesthetically pleasing and statistically rich graphs. It excels in exploring multivariate relationships, visualizing distributions (like box and violin plots), and handling complex dataset-oriented statistical graphics with minimal code. Ideal for data exploration and generating publication-quality figures.

Statsmodels is a robust Python library providing comprehensive tools for advanced statistical analysis. It supports a wide range of models, including Ordinary Least Squares (OLS), Generalized Linear Models (GLM like Poisson and Logistic), Weighted Least Squares (WLS), and complex time series forecasting (ARIMA). Use this skill for rigorous econometrics, detailed diagnostic testing, and generating publication-ready statistical inference.

TorchDrug is a comprehensive PyTorch-based ML toolbox designed for molecular and protein science. It leverages Graph Neural Networks (GNNs) to tackle complex tasks including molecular property prediction, protein structure modeling, drug-target binding prediction, knowledge graph reasoning, and de novo molecular generation. It provides robust capabilities for accelerating drug discovery research.

The Hugging Face Transformers library is a comprehensive toolkit providing access to thousands of pre-trained models across diverse domains including Natural Language Processing (NLP), Computer Vision, Audio, and Multimodal tasks. It enables developers to easily load models, perform high-level inference (e.g., text generation, classification, QA), and fine-tune models on custom datasets using streamlined APIs like Pipelines and the Trainer class. Ideal for building advanced, state-of-the-art AI applications.

This skill generates highly focused, evidence-based medical treatment plans in LaTeX/PDF format, suitable for all clinical specialties. It emphasizes brevity (3-4 pages), regulatory compliance (HIPAA), and actionable steps. Ideal for managing chronic diseases, physical rehabilitation, and mental health care, ensuring structured care pathways and incorporating AI-generated scientific schematics for visual clarity.

A comprehensive Python wrapper for the U.S. Treasury Fiscal Data REST API. This tool allows users to query diverse federal financial datasets, including national debt, interest rates, foreign exchange rates, and government revenue/spending statistics. It requires no API key and is ideal for financial modeling, economic research, and data analytics projects.

This expert acts as a Design Systems Lead and Prompt Engineer for creating high-fidelity, consistent UI designs. It transforms vague ideas into structured specifications by enhancing prompts with professional UI/UX terminology, synthesizing design system source files, and managing multi-step generation and editing workflows using the Stitch MCP.

This comprehensive guide outlines essential security best practices for integrating with Adobe APIs. It covers securing OAuth credentials, implementing least-privilege scoping, managing zero-downtime credential rotation, and verifying I/O Events webhook signatures using cryptographic methods like RSA-SHA256. Essential for building secure, production-ready applications connected to Adobe services.

This guide demonstrates how to implement robust Role-Based Access Control (RBAC) for Algolia Enterprise environments. It covers defining granular permissions using ACLs, generating Secured API Keys for strict multi-tenant data isolation, and building middleware to validate service permissions, ensuring the principle of least privilege in large-scale applications.

This guide details Algolia's security best practices, focusing on scoped API keys. It covers essential concepts like separating API keys for frontend vs. backend use, applying the principle of least privilege, and generating secured, time-limited, per-user keys. It also provides a complete procedure for key rotation to maintain a robust production security posture.

This skill connects to the DeepEar Lite platform to fetch real-time, high-frequency financial signals. It retrieves crucial data points including signal titles, sentiment summaries, confidence scores, and detailed reasoning. Use this when you require immediate, actionable insights into volatile market trends, stock performance factors, or comprehensive financial analysis.

A comprehensive guide for developers encountering complex issues with the Claude API, including context window overflow management, debugging tool use failures, handling streaming corruption, and diagnosing unexpected stop reasons. Provides Python code snippets and diagnostic commands to ensure robust AI integration.