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Search Protocol , found 415 results

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Structured Handoff Protocols

handoff-protocols

rohitg00/skillkit

Generates structured handoff documents capturing current status, next steps, decisions, blockers, and context so team members or agents can smoothly pick up planned or emergency transfers.

Building M365 Copilot Declarative Agents

mcp-create-declarative-agent

github/awesome-copilot

A comprehensive guide for developers to build advanced, declarative agents for Microsoft 365 Copilot. This skill details the integration process using a Model Context Protocol (MCP) server, allowing the agent to connect with external systems, select tools, and handle complex authentication (OAuth 2.0/SSO). You will learn to generate key JSON manifests required for deployment.

PHP MCP Server Project Generator

php-mcp-server-generator

github/awesome-copilot

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.

Python MCP Server Generator

python-mcp-server-generator

github/awesome-copilot

Build a Python Model Context Protocol (MCP) server with the official MCP Python SDK v2: uv project setup, typed tools and error handling, in-memory pytest tests, and client configuration for VS Code or Claude Desktop.

Advanced Browser CDP Connection Management

agentscope-ai/QwenPaw

Provides advanced control over browser debugging protocols (CDP). Use this skill when the user needs to connect to an external, running Chrome instance, scan local CDP ports, or explicitly launch the browser with a fixed debug port. It is specifically designed for complex automation scenarios where multiple tools or agents need to attach to the browser instance.

Structured Planning Agent

structured-autonomy-plan

github/awesome-copilot

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.

Swift MCP Server Generator

swift-mcp-server-generator

github/awesome-copilot

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.

Generate TypeScript MCP Server Backend

typescript-mcp-server-generator

github/awesome-copilot

This comprehensive guide details how to construct a complete, robust Model Context Protocol (MCP) server using TypeScript and the specialized v2 SDK. It covers all aspects of Node.js project setup, selecting appropriate transport layers (HTTP or stdio), implementing complex, schema-validated tools, and integrating resources, resulting in a highly type-safe AI backend service.

Ginkgo Cloud Lab Protocols

ginkgo-cloud-lab

K-Dense-AI/scientific-agent-skills

Submit and manage protocols on Ginkgo Bioworks Cloud Lab for autonomous lab execution via Reconfigurable Automation Carts: protein expression and purification, HiBiT/A280/LabChip quantitation, IVT mRNA/circRNA synthesis, thermal shift assays, Echo-MS methods, SPR onboarding.

Opentrons Protocol Integration

opentrons-integration

K-Dense-AI/scientific-agent-skills

Author, review, simulate, and troubleshoot Opentrons Python Protocol API v2 protocols for Flex and OT-2 robots, covering deck and labware setup, pipettes, modules, runtime parameters, liquid handling, and safe deployment.

Protocols.io API Integration

protocolsio-integration

K-Dense-AI/scientific-agent-skills

Read, validate, and safely export protocols.io protocol data using official REST endpoints, or create non-executing mutation plans. The bundled Python client makes bounded authenticated GET requests only when --execute is supplied.

PyLabRobot Lab Automation

K-Dense-AI/scientific-agent-skills

Develop and review laboratory automation resources, liquid-handling plans, and offline simulations. Use for PyLabRobot protocols or API questions with explicit operator safety gates for physical execution. Supports hardware-agnostic frontends and device-specific backends for lab automation development.

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