Python AI Agent Skills

Master Temporal workflow orchestration with Python SDK. Implements

You are an expert Python developer with extensive experience in Temporal.

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.

Openstack mcp server is a Model Context Protocol (MCP) server that provides an interface for AI assistants to interact with OpenStack services. - Table of Contents - Quick Start with Claude Desktop - Requirements - Using python - Using uvx - Contributing - MCP Protocol Support: Implements the Model Context Protocol for AI assistants. - Compute Tools: Manage OpenStack compute resources (servers, fl

Use this skill when building applications with Gemini models, Gemini API, working with multimodal content (text, images, audio, video), implementing function calling, using structured outputs, or needing current model specifications. Covers SDK usage (google-genai for Python, @google/genai for JavaScript/TypeScript, com.google.genai:google-genai for Java, google.golang.org/genai for Go), model selection, and API capabilities.

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

Zaturn: Your Co-Pilot For Data Analytics & Business Insights Zaturn provides tools that enable AI models to run SQL, so you don't have to. It can be used as an MCP or as a web interface similar to Jupyter Notebook. Zaturn can currently connect to the following data sources: - SQL Databases: PostgreSQL, SQLite, DuckDB, MySQL, ClickHouse, SQL Server, BigQuery - Files: CSV, Parquet Request data sourc

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.

Guide for upgrading Stripe API versions and SDKs

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

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

Write Python code in n8n Code nodes. Use when writing Python in n8n, using _input/_json/_node syntax, working with standard library, or need to understand Python limitations in n8n Code nodes.

|

|

|

Python FastAPI .cursorrules

A Model Context Protocol (MCP) server for summarizing homepage of the user or contents of subreddits and comments on posts. - Summarize user's reddit frontpage (homepage) with or without comment analyses. - Summarize a subreddit contents by inspecting posts sorted by hot, new, top, rising, random (if aviable) with or without comment analysis. - Summarize comments on a post. - Python 3.12 or higher

Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.

Record, replay, and verify Model Context Protocol interactions for deterministic testing. MCP servers break silently. Tool schemas change, prompts drift, responses shift. Without wire-level regression tests, you find out from your users. mcp-recorder captures the full protocol exchange into a cassette file and lets you test from both sides. Try it right now — a scenarios.yml and a public demo serv

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

MifosX Self Service MCP is a Model Context Protocol (MCP) server built using FastMCP (Python). It exposes a set of AI-callable tools that allow MCP-compatible clients (such as Claude Desktop or DeepChat) to securely interact with the Apache Fineract / MifosX Self-Service APIs. This project enables AI-driven banking workflows such as authentication, account access, beneficiary management, and trans

Xian Smart Contract Development - Cursor Rules

|

An MCP server for AI agents to explore DeFi yield opportunities, powered by DefiLlama. - Data Fetching Tool: The getyieldpools tool retrieves DeFi yield pool data from the DefiLlama, allowing filtering by chain (e.g., Ethereum, Solana) or project (e.g., Lido, Aave). - Analysis Prompt: The analyzeyields prompt generates tailored instructions for AI agents to analyze yield pool data, focusing on key