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.

This skill provides comprehensive integration with the Benchling cloud platform using the Python SDK and REST API. It allows users to programmatically manage critical life sciences data, including registry entities (DNA/RNA/proteins), inventory tracking, ELN entries, workflows, and querying the Data Warehouse. Ideal for automating complex lab data pipelines and syncing Benchling with external systems.

A comprehensive toolkit for developing and executing genomics pipelines on the DNAnexus cloud platform. It provides capabilities for app/applet building, managing large biomedical datasets (FASTQ, BAM, VCF), orchestrating complex workflows, and interacting programmatically using the dxpy Python SDK.

FluidSim is an object-oriented Python framework for high-performance Computational Fluid Dynamics (CFD) simulations. It provides specialized solvers for complex equations like 2D/3D Navier-Stokes, shallow water, and stratified flows. Utilizing pseudospectral methods with FFT, the framework supports parallel computing (MPI) and offers a complete workflow, including parameter configuration, simulation execution, and advanced post-processing and visualization.

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 scientific and technical documentation using Markdown and embedded Mermaid diagrams. This method establishes diagrams as text-based sources of truth, ensuring clean version control via Git diffs, native rendering across platforms (GitHub, Notion), and compatibility with AI tools, making it superior to static images.

A comprehensive API wrapper for writing automated lab protocols specifically designed for Opentrons Flex and OT-2 robots. It allows users to perform complex liquid handling operations (aspirate, dispense, transfer, etc.), control various hardware modules (e.g., temperature, shaker), and manage labware and pipetting workflows, ensuring seamless integration for research and production pipelines.

This skill acts as an expert GPU optimization engineer, transforming slow, CPU-bound Python code (NumPy, Pandas, ML pipelines, simulations, etc.) into highly optimized, GPU-accelerated code. It utilizes specialized libraries like CuPy, Numba CUDA, and Warp to achieve dramatic speedups (10x to 1000x) for complex scientific computing, physics simulations, machine learning, geospatial analysis, and large-scale data processing on NVIDIA GPUs.

This skill generates research posters using modern HTML/CSS layouts, allowing for easy integration of AI-generated visuals. It is specifically designed for academic presentations that require a PowerPoint (PPTX) or PDF format. It enforces strict guidelines for visual simplicity, text size, and content density to ensure readability from a distance.

Pysam is a comprehensive Python toolkit for handling genomic data. It provides a Pythonic interface for reading, writing, and manipulating essential genomic formats, including SAM/BAM/CRAM alignments, VCF/BCF variants, and FASTA/FASTQ sequences. It is critical for developing robust bioinformatics pipelines, performing coverage analysis, and analyzing genetic variations.

Pyzotero is a powerful Python wrapper for the Zotero Web API v3. It enables developers to programmatically interact with Zotero libraries, allowing for CRUD operations on items, collections, tags, and attachments. Use this skill to build robust research automation workflows, manage bibliographic references, export citations (e.g., BibTeX), or perform bulk data processing within a Zotero environment.