Python AI Agent Skills

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.

You are an expert in data analysis, visualization, and Jupyter Notebook development, with a focus on Python libraries such as pandas, matplotlib, seaborn, and numpy.

An MCP server that provides tools for checking latest stable package versions from multiple package registries: - npm (Node.js/JavaScript) - PyPI (Python) - Maven Central (Java) - Go Proxy (Go) - Swift Packages (Swift) - AWS Bedrock (AI Models) - Docker Hub (Container Images) - GitHub Container Registry (Container Images) - GitHub Actions This server helps LLMs ensure they're recommending up-to-da

A self-hosted investment decision engine built for modern AI agents. Multi-agent information isolation and cross-challenge protocol, providing an auditable decision trail (Audit Trail). Full Architecture Wiki · 中文版 OpenInvest is a self-hosted investment decision engine built for modern AI agents. It provides a verifiable investment committee, evidence-based reasoning, long-horizon backtest

An MCP server focused only on Overleaf projects (via Overleaf Git sync). .env example: - OVERLEAFTOKEN is required. - projectid can be passed per tool call, or use default PROJECTID. - Overleaf Git access requires a plan that supports Git integration. Add to ~/.config/Claude/claudedesktopconfig.json: - Python 3.13+ - uv package manager MIT - See LICENSE

The memory system for AI coding agents. Decisions, lessons, and context that persist across sessions. mcp-name: io.github.omega-memory/omega-memory AI coding agents are stateless. Every new session starts from zero. - Context loss. Agents forget every decision, preference, and architectural choice between sessions. Developers spend 10-30 minutes per session re-explaining context that was already e

Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.

MCP-Dandan is an integrated monitoring service that observes MCP (Model Context Protocol) communications and detects security threats in real time. It features a modern desktop UI built with Electron for easy monitoring and management. Currently, MCP-Dandan is listed in well-known MCP-related open-source collections and can be found in the following repositories: - Awesome MCP Servers – Security -

tilde is a privacy-first Model Context Protocol (MCP) server that acts as the universal memory and profile layer for AI Agents. Configure once. Use everywhere. Your data, your control. Supports profile management, skills, resume import, and team sync. Every time you switch AI tools, you face the same issues: - 🔄 Repetition: "I'm a Senior SWE", "I prefer Python", "Don't use ORMs" - 🧩 Fragmentatio

DBOS Python SDK for building reliable, fault-tolerant applications with durable workflows. Use this skill when writing Python code with DBOS, creating workflows and steps, using queues, using DBOSClient from external applications, or building applications that need to be resilient to failures.

ROS-MCP-Server connects large language models (such as Claude, GPT, and Gemini) with existing robots giving them bidirectional AI integration. With no changes to existing robot source code, this enables: - 🗣 Commanding the robot in natural language → instructions are translated into ROS/ROS2 commands. - 👀 Giving AI full visibility → subscribe to topics, call services, read sensor data, and monit

1. **Project Overview**:

An MCP server for tracking and managing cryptocurrency portfolio allocations, enabling AI agents to query and optimize portfolio strategies in real time. - Portfolio Management: Add and track cryptocurrency holdings with real-time Binance prices. - Price Retrieval: Fetch current prices for any Binance trading pair (e.g., BTC/USDT). - Value History: Generate visual charts of portfolio value over ti

A Model Context Protocol (MCP) server that exposes FinBrain datasets to AI clients (Claude Desktop, VS Code MCP extensions, etc.) via simple tools. Backed by the official finbrain-python SDK. - Package name: finbrain-mcp - CLI entrypoint: finbrain-mcp - Documentation: finbrain.tech/integrations/mcp Access FinBrain's machine learning price forecasts with daily (10-day) and monthly (12-month) horizo

Clarity in Code, Confidence in Creation Lucidity is a Model Context Protocol (MCP) server designed to enhance the quality of AI-generated code through intelligent, prompt-based analysis. By providing structured guidance to AI coding assistants, Lucidity helps identify and address common quality issues, resulting in cleaner, more maintainable, and more robust code. Before you commit, just ask Lucid

An MCP server that provides real-time gas price predictions across multiple blockchains, powered by Blocknative. - predictgasprice: Fetches gas price predictions for a specified chain (default: Ethereum Mainnet, chainid=1), including base fee and a table with confidence levels, price, max priority fee, and max fee. - estimategascost: Estimates transaction costs based on gas limit, confidence level

Specialized skill for building production-ready Discord bots. Covers Discord.js (JavaScript) and Pycord (Python), gateway intents, slash commands, interactive components, rate limiting, and sharding.

audit-prompt-caching is a portable Codex/agent skill for finding why LLM cache reuse fails across the request path: prompt/prefix caches, provider cache telemetry, cache-aware routing, agent tool stability, Bedrock checkpoints, OpenRouter routing drift, provider migration risk, and vLLM/SGLang KV reuse. LLM cache reuse usually fails silently. A timestamp in the system prompt, shuffled tool schemas

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

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

You've had thousands of AI conversations. You can't search any of them. ⬆️ Auto-playing preview — click here for full video with audio Documentation · Quickstart · ❓ FAQ · All 25 Tools If this is useful, a ⭐ helps others find it. Restart Claude. 25 tools available. Keyword search works immediately. Alternative: pip install Setup for specific clients After setup, just say "use brain" in an