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 comprehensive guide for configuring ArgoCD within KubeSphere DevOps. It details implementing GitOps continuous deployment, covering application management, multi-cluster setup, SSO integration via Dex, and best practices for managing application state synchronization from Git repositories. Learn the differences between direct ArgoCD and KubeSphere's tenant-friendly GitOps application 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.

This skill provides comprehensive guidance on utilizing the Adaptyv Bio Foundry API and Python SDK. It enables users to programmatically design, submit, and track protein characterization experiments. Supports various assays, including binding kinetics (BLI/SPR), thermostability, and expression analysis, allowing researchers to convert amino acid sequences into actionable, automated experimental data.

This skill provides programmatic access to the Benchling cloud platform using the dedicated Python SDK and REST API. It is designed for automating the management and querying of critical life science data, including registry entities (DNA, RNA, proteins), physical inventory, electronic lab notebooks (ELN), and complex workflows. Use this tool for data syncing, advanced analytics via the Data Warehouse, and building robust, scalable LIMS integrations.

Cirq is an open-source Python framework from Google Quantum AI for designing, simulating, and executing quantum circuits. It supports multiple hardware backends (IonQ, Pasqal, etc.) and includes comprehensive tools for noise modeling, circuit optimization, and parameterized experimentation, making it ideal for NISQ device development and advanced quantum computing research.

Datamol is a lightweight, Pythonic wrapper over RDKit, simplifying complex molecular operations. It provides robust features for structure standardization, calculating molecular descriptors (like MW, LogP), generating fingerprints, analyzing 3D conformers, and handling multi-format I/O (SMILES, SDF, JSON). Ideal for computational chemistry, drug discovery, and large-scale cheminformatics data processing, with built-in parallelization and cloud storage support.

This comprehensive tool guides the systematic creation of detailed technical specifications. It orchestrates the entire design lifecycle, including context loading, deep discovery and analysis (tailored for new features, extensions, or simple additions), synthesis using established design principles, and generating a boundary-first, structured design draft. Ensures all requirements are mapped to explicit technical components.

This skill analyzes the implementation gap by comparing approved feature requirements against the existing codebase, architecture, and context. It helps identify missing capabilities, potential integration challenges, and necessary technical research areas. The output provides multiple viable implementation options and a comprehensive analysis report, guiding the transition from requirements definition to technical design.

This skill provides comprehensive programmatic integration with the LabArchives Electronic Lab Notebook (ELN) API. Users can automate complex research workflows, including managing notebooks, creating entries, uploading attachments, performing backups, and generating detailed site reports. It is designed for robust scientific data management and integration with third-party tools like Jupyter and REDCap.

A comprehensive guide for designing academic and scientific research posters. This skill covers using LaTeX packages (beamerposter, tikzposter, baposter) for high-quality layout, typography, and visual communication. It also provides critical AI prompting guidelines to ensure generated visuals are readable, simple, and adhere to strict content limits for maximum impact at conferences.

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.