Skill UI

Guidance for creating, editing, and analyzing .xlsx workbooks while preserving formulas, formatting, and assumptions, leveraging pandas/openpyxl for data work and LibreOffice recalc to ensure error-free financial models.

Query the NHGRI-EBI GWAS Catalog for SNP-trait associations, fetch study metadata, variant and trait details, and download summary statistics via the web or REST APIs to support genetic epidemiology and polygenic risk modeling.

Structured workflow for building hierarchical Bayesian models with PyMC 5+, covering data prep, NUTS sampling, diagnostics, posterior checks, and predictive inference.

Toolkit for Python-based survival and time-to-event modeling with scikit-survival, supporting Cox models, ensemble learners, SVMs, and evaluation metrics for censored data.

Query the Monarch Initiative API to explore disease-gene-phenotype associations across species, enabling rare disease gene discovery, phenotype-to-gene mapping, and cross-species modeling via integrated HPO and model organism data.

Provide a comprehensive toolkit for RNA velocity inference in single-cell RNA-seq data, modeling unspliced/spliced kinetics to infer differentiation directions, latent time, and driver genes while complementing Scanpy pipelines.

This comprehensive index covers 37 advanced engineering skills designed for complex system architecture, platform operations, and reliability. Skills include agent design, RAG implementation, CI/CD, observability, database modeling, and security auditing, supporting the entire development lifecycle for powerful enterprise applications.

A comprehensive guide for defining, tracking, and interpreting product metrics across all stages—from discovery to maturity. This skill covers selecting metric frameworks (AARRR, HEART), defining stage-appropriate KPIs, designing multi-layered dashboards, and executing deep analyses like cohort and retention modeling. It helps teams transform raw data into actionable product strategies, moving beyond vanity metrics.

OWASP Threat Dragon is an open-source tool designed for security professionals and developers. It guides users through creating detailed data flow diagrams (DFD) to map system architecture. The framework enables the systematic identification of vulnerabilities by applying established methodologies like STRIDE and LINDDUN, culminating in comprehensive, compliance-ready threat model reports.

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 comprehensive skill guides developers through integrating and optimizing Firebase Cloud Firestore within Flutter applications. It covers best practices for data modeling, performing advanced CRUD operations, setting up real-time listeners, executing atomic transactions, and designing for massive scale. Learn how to implement robust querying, cursor-based pagination, and secure your data structure effectively.

This comprehensive guide details how to correctly implement and manage Firebase Realtime Database within Flutter applications. It covers critical best practices including data modeling (using flattened JSON trees), utilizing real-time listeners, ensuring offline persistence, performing atomic transactions, and implementing security rules. Ideal for applications requiring extremely low-latency synchronization and constant state monitoring.