Skill UI

This tool scaffolds a complete, production-ready Model Context Protocol (MCP) server project written in Rust. It utilizes the official `rmcp` SDK to ensure full compatibility. The generated structure includes modules for handling logic, defining tools, managing prompts, and providing resources. Users can configure different transports (stdio, SSE, HTTP) and immediately run the server for integration testing or production use.

Guides setting up Microsoft Fluent UI Blazor components, ensuring providers/services registrations, handling icon packages, binding lists and autocomplete, plus using dialog and toast services in Blazor apps.

Creates a production-ready Model Context Protocol server in Go by scaffolding modules, tools, resources, configuration, README guidance, and basic tests built around the official GitHub SDK for rapid setup.

This tool generates a complete, production-ready PHP Model Context Protocol (MCP) server project. It automatically scaffolds the entire structure, including tools, resources, prompts, and comprehensive tests, utilizing the official PHP SDK. It provides a standardized, robust starting point for developers building AI-integrated backend services in PHP.

This skill enables advanced interaction with browser automation using the Chrome DevTools Protocol (CDP). Use it when the user needs to explicitly connect to a running browser instance, scan for available CDP ports, specify a fixed debug port, or share a single browser session across multiple tools. It is designed for advanced automation scenarios, distinct from simple browser launching.

Guides a project planning agent through researching, decomposing, and documenting multi-commit development plans before coding, enforcing autonomous research protocols and template-driven plan outputs for structured PR execution.

Creates a production-ready Swift MCP Server project using the official MCP Swift SDK, wiring ServiceLifecycle, logging, tool/resource/prompt handlers, and tests so you can quickly spin up a Model Context Protocol server with a standard directory layout.

A comprehensive scaffold generator for building Model Context Protocol (MCP) servers using TypeScript and Node.js. This tool provides a complete, production-ready boilerplate, including proper project structure, dependency management (e.g., @modelcontextprotocol/sdk, zod), and implementation details for tools and resources. It supports both HTTP and stdio transport mechanisms, ensuring type safety, robust error handling, and best practices for modern backend development.

This guide outlines a mandatory, evidence-based protocol for declaring any work complete, fixing a bug, or submitting a pull request. It strictly mandates that all claims of success must be supported by fresh, verifiable evidence, such as passing test outputs, successful build logs, or comprehensive checklist verification. It eliminates reliance on assumptions, gut feelings, or trusting proxy reports.

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.

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.