Skill UI

Use terminal commands to discover, list, create, edit, move, copy, enable/disable, and delete AI agent skills across 11 tools, handling format conversions and scope overrides between global and project configurations.

A comprehensive skill for creating professional scientific, technical, and analytical documentation. It enforces the use of Mermaid diagrams embedded in Markdown files as the canonical standard. This text-based approach ensures that all diagrams are fully version-controllable, highly editable, and easily parsed by AI, making it ideal for reports, architecture diagrams, and complex workflows destined for Git.

This skill provides the official Opentrons Protocol API v2 for automating complex lab protocols on Flex and OT-2 robots. It allows precise control over liquid handling operations (aspirate, dispense, transfer), managing various hardware modules (temperature, magnetic), and organizing labware configurations. Ideal for developing production-grade, reproducible, and efficient automated scientific workflows.

This skill acts as an expert GPU optimization engineer, transforming CPU-bound scientific Python code into highly accelerated GPU kernels. It utilizes libraries like CuPy, Numba CUDA, and Warp to achieve massive speedups (10x to 1000x). It is essential for complex workloads including deep learning (ML), physics simulation, medical imaging, geospatial analysis, and large-scale array/matrix computations.

This skill allows users to create professional, modern research posters using HTML and CSS. The resulting posters can be exported to PDF or converted to PowerPoint format. It is designed for web-based visual integration, offering responsive layouts and easy handling of AI-generated scientific schematics, making it ideal for academic presentations and conferences.

Provides comprehensive programmatic access to the protocols.io API v3, enabling full lifecycle management of scientific protocols. Use this skill for protocol discovery, collaborative development, step management, file uploads, experiment tracking, and organizing large-scale lab workspaces. Ideal for bioinformatics, academic research tools, and scientific documentation workflows.

PyLabRobot is a pure Python, vendor-agnostic SDK designed for controlling complex, autonomous laboratory workflows. It provides a unified interface to manage diverse equipment, including liquid handlers (Hamilton, Opentrons, Tecan), plate readers, pumps, incubators, and centrifuges. Ideal for creating repeatable protocols, simulating experiments, and managing laboratory resources across multi-vendor setups.

Pymoo is a comprehensive Python framework designed for solving complex optimization problems, particularly those involving multiple conflicting objectives. It implements state-of-the-art evolutionary algorithms like NSGA-II, NSGA-III, and MOEA/D. Users can efficiently find Pareto-optimal solutions, analyze trade-offs, and handle constrained or mixed-variable problems, making it ideal for engineering design and research.

Pyzotero is a robust Python client for the Zotero Web API v3. It allows users to programmatically interact with their Zotero libraries. Key functions include retrieving, creating, updating, and deleting bibliographic items, managing attachments (like PDFs), handling collections, tags, and exporting citations (e.g., BibTeX). Ideal for building research automation workflows, data extraction, or integrating Zotero data into larger applications.

Generate production-quality React components and UIs using the specialized Rayden UI component library and Tailwind CSS. This skill ensures that all generated code strictly adheres to a defined design system, including correct component usage, design tokens, prop validation, and established layout patterns. Ideal for scaffolding complex pages like dashboards, login forms, and data tables while maintaining premium aesthetics and consistency.

This specialized skill automates the process of converting visual designs (from Stitch) into high-quality, modular React and Vite components. It adheres to modern frontend best practices, enforcing logic isolation via custom hooks, data decoupling using mock data files, and ensuring type safety with TypeScript interfaces. The workflow includes automated asset fetching, style mapping (Tailwind), and rigorous validation cycles to produce production-ready, maintainable code.

This skill provides comprehensive guidance for crafting competitive scientific research proposals tailored for major funding agencies, including NSF, NIH, DOE, DARPA, and NSTC. It covers critical components such as defining scientific rigor, structuring specific aims, calculating budgets, demonstrating broader societal impacts, and adhering to highly specific agency formatting requirements. Use this when seeking academic or government funding.