Skill UI

This guide teaches advanced search techniques for identifying specific video games. It emphasizes using highly discriminative technical details such as specific platforms (e.g., DOS, NES, PS4), distribution methods (shareware), game engines, era, and detailed review scores from niche sites. By combining multiple constraints (Platform + Era + Detail), users can dramatically narrow down search results, even locating specific developers or artists involved in the game's creation.

A powerful utility for performing semantic searches across a large knowledge base of 105K+ skill cards. It allows users to find the most relevant skills based on natural language queries, supporting both Python API integration and Command Line Interface (CLI). This tool is zero-dependency and highly efficient for skill discovery and knowledge retrieval in development workflows.

A comprehensive integration tool for automating lab data management within the Benchling cloud platform. It provides programmatic access via the Python SDK and REST API to core life science entities, including registry management (DNA, RNA, proteins), inventory tracking, Electronic Lab Notebook (ELN) entries, workflows, and data warehouse querying. Ideal for syncing data, building complex automations, and executing large-scale R&D data pipelines.

This tool provides a conservative, resource-aware snapshot of the current process's environment, including CPU, memory, disk, and accelerator limits. It helps users plan workloads accurately by providing clear boundary constraints (cgroup, scheduler, host limits) without performing stressful tests or making assumptions about usability.

Ginkgo Cloud Lab provides remote access to an advanced autonomous lab infrastructure, enabling users to submit and manage complex molecular biology protocols. It supports diverse applications including protein expression and purification (cell-free, E. coli, Pichia), quantitative assays (HiBiT, A280, LabChip), nucleic acid synthesis (IVT mRNA/circRNA), and characterization techniques (Thermal Shift, Echo-MS, SPR). The platform features an AI agent (EstiMate) for custom workflow feasibility and pricing.

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.

pydicom is a comprehensive Python library designed for reading, inspecting, writing, and transforming local DICOM datasets and associated pixel data. It supports complex metadata handling, various transfer syntaxes, and provides tools for bounded de-identification and preflight checks. It is essential for medical image processing pipelines that require robust handling of Protected Health Information (PHI).

PyTDC is a specialized Python package designed to interact with the Therapeutics Data Commons. It facilitates the discovery of machine learning tasks, loading approved datasets, generating task-appropriate data splits, and evaluating predictions for drug discovery research. The tool strongly emphasizes performing metadata-only discovery and planning before initiating resource-intensive data downloads or network operations.

Qiskit is a comprehensive SDK for developing quantum algorithms. It enables users to build, optimize, simulate, and execute quantum circuits using modern APIs (Qiskit 2.x). It supports local exact sampling, high-performance noisy simulation via Qiskit Aer, and direct execution on IBM Quantum hardware through the Runtime service, making it a powerful tool for quantum research and development.

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.

RDKit is a comprehensive cheminformatics library providing robust Python APIs for molecular structure manipulation and analysis. It supports tasks ranging from molecular I/O (SMILES, SDF) and calculating physical descriptors (MW, LogP) to advanced substructure searching, 3D coordinate generation, and chemical reaction modeling. It is an essential toolkit for drug discovery, computational chemistry, and academic cheminformatics research.

SymPy is a comprehensive Python library designed for exact symbolic computation. It enables users to perform advanced mathematical operations, including symbolic calculus (derivatives, integrals), algebraic manipulation, solving complex systems of equations, and linear algebra, all without relying on floating-point approximations. It is essential for scientific research, physics modeling, and generating precise mathematical documentation (e.g., LaTeX).