Python AI Agent Skills

Multi-agent orchestration platform for enterprise AI development. Run 12+ AI agents concurrently with full governance, Gemini-powered code review, and enforced quality gates. Solves coordination, verification, and metrics challenges that stall enterprise AI adoption.

This repo contains the source code for running a local MCP server that interacts with APIs for Google Analytics. Join the discussion and ask questions in the 🤖-analytics-mcp channel on Discord. The server uses the Google Analytics Admin API Google Analytics Data API to provide several Tools for use with LLMs. - getaccountsummaries: Retrieves information about the user's Google Analytics accounts

Expert patterns for HubSpot CRM integration including OAuth authentication, CRM objects, associations, batch operations, webhooks, and custom objects. Covers Node.js and Python SDKs. Use when: hubspot, hubspot api, hubspot crm, hubspot integration, contacts api.

基于七牛云产品构建的 Model Context Protocol (MCP) Server，支持用户在 AI 大模型客户端的上下文中通过该 MCP Server 来访问七牛云存储、智能多媒体，直播服务等。 - 获取 Bucket 列表 - 获取 Bucket 中的文件列表 - 上传本地文件，以及给出文件内容进行上传 - 关于访问七牛云存储详细情况请参考 基于 MCP 使用大模型访问七牛云存储。 - 创建直播空间bucket - 获取推拉流直播地址 - Python 3.12 或更高版本 如果还没有安装 uv，可以使用以下命令安装： 具体安装方式参考 uv 安装 1. 在 vscode 下载 Cline 插件（下载后 Cline 插件后在侧边栏会增加 Cline 的图标） 3. 配置 qiniu MCP 1. 点击 Cline 图标进入 Cline 插件，选择 MCP Server 模块

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Shared configuration patterns for project setup commands. Provides security hooks, Claude framework structure templates, and framework detection patterns used across multiple setup commands.

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Build AI applications using the Azure AI Projects Python SDK (azure-ai-projects). Use when working with Foundry project clients, creating versioned agents with PromptAgentDefinition, running evaluations, managing connections/deployments/datasets/indexes, or using OpenAI-compatible clients. This is the high-level Foundry SDK - for low-level agent operations, use azure-ai-agents-python skill.

Build real-time voice AI applications using Azure AI Voice Live SDK (azure-ai-voicelive). Use this skill when creating Python applications that need real-time bidirectional audio communication with Azure AI, including voice assistants, voice-enabled chatbots, real-time speech-to-speech translation, voice-driven avatars, or any WebSocket-based audio streaming with AI models. Supports Server VAD (Voice Activity Detection), turn-based conversation, function calling, MCP tools, avatar integration, a

Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.

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Guide for upgrading Stripe API versions and SDKs

Expert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, and production patterns. Covers .NET, Python, and Node.js programming models. Use when: azure function, azure functions, durable functions, azure serverless, function app.

An MCP server that provides real-time cross-chain bridge metrics, enabling AI agents to analyze liquidity, transaction flows, and performance across blockchain networks. - List Chains: Retrieve a list of all chain slugs from DeFiLlama, sorted by Total Value Locked (TVL) in descending order. - List Bridges: Fetch all bridges, optionally including chain breakdowns, sorted by 24-hour volume. - Histor

You are an AI assistant specialized in Python development.

You are an expert in Python, FastAPI, and scalable API development.

This is the official MCP (Model Context Protocol) server for LG ThinQ devices. This server provides integrated control capabilities including status monitoring, device control, and profile information for various LG ThinQ devices, built on the LG ThinQ API and Python Open SDK. MCP connection method is stdio. - Prerequisites - Quick Start - Detailed Usage - Tool Reference - Device List Query Retrie

You are an expert in Python, FastAPI, and scalable API development.

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MCP (Model Context Protocol) server for SynergyAge database This server implements the Model Context Protocol (MCP) for SynergyAge, providing a standardized interface for accessing synergistic genetic intervention and aging research data. MCP enables AI assistants and agents to query comprehensive longevity datasets through structured interfaces. The server automatically downloads the latest Syner

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Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.