Python AI Agent Skills

Stop feeding your AI entire codebases. Give it a scalpel instead. An MCP server that indexes your codebase structurally and exposes surgical query tools — so your AI agent reads 200 characters instead of 200 files. Measured across 782 real sessions: 99% token reduction. Every AI coding session starts the same way: the agent grabs cat or grep, reads a dozen files to find one function, then bloats i

A Model Context Protocol (MCP) server providing complete coverage of the DaVinci Resolve Scripting API. Connect AI assistants (Claude, Cursor, Windsurf) to DaVinci Resolve and control every aspect of your post-production workflow through natural language. - 26-tool compound server — all 324 API methods grouped into 26 context-efficient tools (default) - Universal installer — single python install.

Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.

Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified.

AI-powered browser automation for Claude Code. Control real web browsers directly from Claude -- navigate websites, fill forms, extract data, inspect accessibility trees, and automate multi-step workflows. - Chrome or Chromium installed on your system - Python 3.12+ with uv package manager - Claude Code CLI This installs the MCP server, 5 skills, and auto-enables the plugin. Restart Claude Code to

mcp-name: io.github.henilcalagiya/mcp-apple-notes Apple Notes MCP Server provides seamless integration of Apple Notes with any MCP-compatible client. It enables full note automation — including creating, reading, updating, and deleting notes — through a simple and secure AppleScript API layer. Full CRUD support for Apple Notes (Create, Read, Update, Delete) Works with Continue.dev, Claude Desktop,

An MCP server that gives AI agents fast access to verified EVM chain information, including RPC URLs, chain IDs, explorers, and native tokens — sourced from Chainlist.org. - Efficient Data Fetching: Caches Chainlist API data to minimize requests. - Flexible Search: Case-insensitive keyword matching using regex for getChainsByKeyword. - Structured Output: Markdown responses with tabulated rpc and e

Universal code-indexer MCP server for AI coding agents. Claude · Cursor · Codex CLI · Gemini CLI · GitHub Copilot · Windsurf · Kilo Code · Zed · OpenCode · Any agent that speaks MCP. Pre-index your codebase once. Let AI agents find any symbol in ~200 tokens instead of reading whole files at ~7,500 tokens. That is a 97% reduction — per lookup, every lookup. The part no other code indexer does: Don'

FastAPI best practices and patterns for building modern Python web APIs

Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction.

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.

GenAI Agent Framework, the Pydantic way Documentation: ai.pydantic.dev FastAPI revolutionized web development by offering an innovative and ergonomic design, built on the foundation of Pydantic Validation and modern Python features like type hints. Yet despite virtually every Python agent framework and LLM library using Pydantic Validation, when we began to use LLMs in Pydantic Logfire, we couldn'

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

Open-source Agent Skills for computational materials science and numerical simulation workflows. Give your AI coding agent domain expertise in numerical methods, simulation best practices, and scientific computing -- without re-explaining the same concepts every session. Skills are portable across Claude Code, Codex, Gemini CLI, Cursor, VS Code Copilot, and 20+ other compatible tools. - The Proble

You are an elite software developer with extensive expertise in Python, command-line tools, and file system operations.

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

Access comprehensive NBA statistics via Model Context Protocol A Model Context Protocol (MCP) server that provides access to live and historical NBA data including player stats, game scores, team information, and advanced analytics. 1. Install the server: 2. Add to your Claude Desktop config file: MacOS: ~/Library/Application Support/Claude/claudedesktopconfig.json Windows: %APPDATA%/Claude/claude

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP), Node/TypeScript (MCP SDK), or C#/.NET (Microsoft MCP SDK).

Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.

GXtract is a Model Context Protocol (MCP) server designed to integrate with VS Code and other compatible editors. It provides a suite of tools for interacting with the GroundX platform, enabling you to leverage its powerful document understanding capabilities directly within your development environment. - Architecture - Prerequisites - Installing UV - Quick Start: VS Code Integration - Available

下面是为你的 bilibili-mcp 工具生成的 README.md 示例： 一个用于获取 B 站热榜的 MCP 工具，基于 FastMCP 和 B 站公开接口。你可以通过注册到 Cursor 或其他 MCP 客户端，实时调用热门视频数据。 确保使用 Python ≥ 3.12，并安装以下依赖项： 你的主代码文件可以是 bilibilimcp.py，项目结构如下： 使用 uv 运行工具： FastMCP 会自动暴露一个名为 getpopular 的工具： 获取 B 站热榜视频信息，返回最多 topk 个条目（最大 10 条）。 - 使用 httpx 实现异步请求 - 通过 FastMCP 注册为标准 MCP 工具 - 支持通过 stdio 与 MCP 客户端通信（例如 Cursor） - 仅用于学习与研究，B 站接口为公开接口，使用时请避免过于频繁访问。 - 默认 User-Agent

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.

This project provides a Model Context Protocol (MCP) server wrapper around the esp-rainmaker-cli Python library. It allows MCP-compatible clients (like LLMs or applications such as Cursor, Claude Desktop, and Windsurf) to interact with your ESP RainMaker devices using the official CLI. The Model Context Protocol (MCP) is a standardized framework that enables AI systems to interact with external to

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