Skill UI

A comprehensive guide to setting up and managing Continuous Integration and Continuous Deployment (CI/CD) pipelines within KubeSphere. This tool integrates with Jenkins, supports both graphical editing and Jenkinsfile-based workflows, and enables automated deployments across multi-cluster environments using ArgoCD for GitOps management. Ideal for managing the full software delivery lifecycle.

This skill guides the management of CI/CD pipelines within KubeSphere DevOps. It utilizes Kubernetes Custom Resources (CRs) to define, trigger, and monitor complex build workflows, seamlessly integrating with Jenkins concepts in a cloud-native manner. Use it for automating build, test, and deployment processes for applications running on Kubernetes.

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 integration with the Adaptyv Bio Foundry API, enabling the automated design, submission, and analysis of protein experiments. Users can submit amino acid sequences for various high-throughput assays, including binding kinetics (BLI/SPR), thermostability, and expression yield. It guides the entire research workflow, from sequence input to final results retrieval, accelerating biopharma discovery.

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.

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.

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.

An expert skill for transforming CPU-bound Python code into highly performant GPU-accelerated code using NVIDIA technologies. It specializes in optimizing scientific workflows, including machine learning (ML), physics simulations, geospatial analysis, and large-scale array computations. Utilize tools like CuPy for array operations, Numba CUDA for custom kernels, and Warp for spatial computing and differentiable simulations, achieving dramatic speedups (10x to 1000x). Use this when dealing with NumPy, pandas, SciPy, or complex computational loops that benefit from parallel processing on NVI...

Provides complete programmatic integration with the protocols.io API v3. This skill enables full lifecycle management of scientific protocols, including searching, creating, updating, managing steps, handling collaborations, organizing workspaces, and tracking experiments. It is essential for automating laboratory workflows and scientific documentation.

PyLabRobot is a vendor-agnostic, pure Python 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, and shakers—enabling users to simulate, develop, and execute reproducible, multi-device protocols across different operating systems.