Skill UI

This skill allows users to generate and edit high-quality, general-purpose images using advanced AI models like FLUX.2 and Gemini. It is suitable for creating photorealistic images, artistic illustrations, concept art, marketing visuals, and general visual assets. Note that this tool is designed for creative content, not technical schematics or diagrams.

A comprehensive toolkit for advanced geospatial analysis. It covers remote sensing (Sentinel, Landsat), GIS operations (vector/raster/point cloud), spatial statistics, and Machine Learning for Earth Observation. Supports cloud-native workflows, multiple data types, and 8 programming languages, making it ideal for complex scientific research and commercial spatial projects.

Provides remote access and management for complex, autonomous laboratory protocols executed on Reconfigurable Automation Carts (RACs). Users can submit and manage protocols for cell-free protein expression (validation/optimization), generate fluorescent pixel art, or utilize the EstiMate AI agent for custom workflow feasibility assessments. Covers the entire lifecycle from protocol selection to final sample delivery.

This skill acts as an elite Art Director for generating premium, highly actionable, and structurally sound frontend design references. It moves beyond generic AI aesthetics by enforcing principles like strong hierarchy, generous spacing, and image-led composition. Ideal for creating realistic, development-ready concepts for landing pages, hero sections, and multi-section websites.

Create professional, data-driven infographics effortlessly. This skill uses advanced AI (Nano Banana Pro) integrated with web research to gather accurate statistics and facts. It supports various visualization types (e.g., timelines, comparisons, statistical charts) and includes a smart iterative review process, ensuring the output meets high quality standards for specific document types like marketing materials or business reports. No design expertise required.

Matplotlib is Python's foundational library for creating highly customizable static, animated, and interactive visualizations. It supports various plot types (line, scatter, heatmap, 3D) and offers both pyplot and object-oriented interfaces. Ideal for generating publication-quality scientific charts, complex multi-panel figures, and integrating into notebooks.

Pymoo is a comprehensive Python framework designed for solving both single-objective and multi-objective optimization problems. It implements state-of-the-art evolutionary algorithms (like NSGA-II, NSGA-III, MOEA/D) and is specialized in identifying Pareto-optimal fronts. This tool is essential for engineering design and scientific problems requiring the analysis of trade-offs among multiple conflicting objectives.

This skill acts as a collaborative research ideation partner, guiding users through a structured brainstorming process. It helps generate novel hypotheses, explore interdisciplinary connections, challenge underlying assumptions, and identify potential research gaps. Use it when starting a project without specific observations, or when overcoming creative blocks in scientific problem-solving.

A powerful AI tool designed to transform complex scientific concepts into publication-quality visual schematics. Utilizing Nano Banana 2 AI for generation and Gemini 3.1 Pro Preview for rigorous quality review, the skill specializes in creating architectural diagrams, neural network structures, biological pathways, and complex flowcharts. It employs smart iterative refinement, ensuring the output meets predefined quality thresholds for academic journals, posters, and reports.

Stable Baselines3 is a robust, PyTorch-based library providing reliable implementations of state-of-the-art reinforcement learning algorithms (PPO, SAC, DQN, etc.). It is designed for standard RL experiments, quick prototyping, and developing complex single-agent systems. The library supports training agents, creating custom Gymnasium environments, and running vectorized simulations for accelerated learning.

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 acts as a comprehensive Music Learning Coach, guiding users through the full spectrum of music education. It covers fundamental music theory (scales, harmony), structured instrument practice routines, advanced ear training techniques, performance skills, and deep dives into music history. Ideal for beginners and advanced learners looking to build a solid, well-rounded understanding and practical ability in music.