Data and Analytics

Build Android applications following Google's official architecture guidance, as demonstrated in the NowInAndroid reference app.

Design and configure API gateways to handle routing, authentication, rate limiting, and request/response transformation for microservice architectures.

Implement effective caching strategies to improve application performance, reduce latency, and decrease load on backend systems.

This skill outlines the process of adding flutter_driver support to a Flutter application, launching it via the Dart MCP server, controlling it (tapping, finding widgets), and capturing screenshots (handling Web/Desktop specific constraints).

Expert-level growth marketing for scalable user acquisition.

Deliver a complete i18n setup + audit pass: configure the i18n framework, replace user-facing strings with keys, ensure locale parity, and validate pluralization/formatting for en-US and zh-CN.

Performance testing measures how systems behave under various load conditions, including response times, throughput, resource utilization, and scalability. It helps identify bottlenecks, validate performance requirements, and ensure systems can handle expected loads.

Use this skills whenever you are dealing with Remotion code to obtain the domain-specific knowledge.

Source details, install context, and public review data are available on the full page.

GeoPandas extends pandas to enable spatial operations on geometric types. It combines the capabilities of pandas and shapely for geospatial data analysis.

Expert-level guidance for implementing Group Relative Policy Optimization (GRPO) using the Transformer Reinforcement Learning (TRL) library. This skill provides battle-tested patterns, critical insights, and production-ready workflows for fine-tuning language models with custom reward functions.

Source details, install context, and public review data are available on the full page.

Add official Railway database services. These are maintained templates with pre-configured volumes, networking, and connection variables.

scikit-survival is a Python library for survival analysis built on top of scikit-learn. It provides specialized tools for time-to-event analysis, handling the unique challenge of censored data where some observations are only partially known.

Implement comprehensive audit logging for security events, user actions, and system changes with structured logging, retention policies, and SIEM integration.

Guide the user step-by-step through setting up ToolUniverse.

Friendly onboarding when users ask about capabilities.

Aeon is a scikit-learn compatible Python toolkit for time series machine learning. It provides state-of-the-art algorithms for classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search.

Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues, academic conferences, research posters, and grant proposals. This skill provides ready-to-use templates and detailed specifications for successful academic submissions across disciplines.

scikit-bio is a comprehensive Python library for working with biological data. Apply this skill for bioinformatics analyses spanning sequence manipulation, alignment, phylogenetics, microbial ecology, and multivariate statistics.

Generate a comprehensive disease research report with full source citations. The report is created as a markdown file and progressively updated during research.

Biopython is a comprehensive set of freely available Python tools for biological computation. It provides functionality for sequence manipulation, file I/O, database access, structural bioinformatics, phylogenetics, and many other bioinformatics tasks. The current version is Biopython 1.85 (released January 2025),...

Open-source vision-language model for conversational image understanding.

Design short-term, long-term, and graph-based memory architectures