Python AI Agent Skills

AI Engine Optimization - semantic triples, page templates, content clusters for AI citations

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.

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'

Use when the user wants to create a ComfyUI custom node, convert Python code to a node, make a node from a script, or needs help with ComfyUI node development, INPUT_TYPES, RETURN_TYPES, or node class structure.

FastAPI best practices and patterns for building modern Python web APIs

Review code for quality, maintainability, and correctness. Use when reviewing pull requests, evaluating code changes, or providing feedback on implementations. Focuses on API design, patterns, and actionable feedback.

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.

A Model Context Protocol (MCP) server that provides intelligent search capabilities for discovering relevant Claude Agent Skills using vector embeddings and semantic similarity. This server implements the same progressive disclosure architecture that Anthropic describes in their Agent Skills engineering blog, making specialized skills available to any MCP-compatible AI application. An open-source

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.

You are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hint

Comprehensive software architecture skill for designing scalable, maintainable systems using ReactJS, NextJS, NodeJS, Express, React Native, Swift, Kotlin, Flutter, Postgres, GraphQL, Go, Python. Includes architecture diagram generation, system design patterns, tech stack decision frameworks, and dependency analysis. Use when designing system architecture, making technical decisions, creating architecture diagrams, evaluating trade-offs, or defining integration patterns.

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

A Python implementation of the Model Context Protocol (MCP) for ROS 2. This server enables AI tooling to connect with ROS 2 nodes, topics, and services using the MCP standard over stdio. Designed to be the easiest ROS 2 MCP server to configure. - List available topics - List available services - Lists available actions with their types and request fields - Call services - Subscribe to topics to co

Performance profiling principles. Measurement, analysis, and optimization techniques.

A Python-based agent that integrates research providers with Claude Code through the Model Context Protocol (MCP). It supports OpenAI (Responses API with web search and code interpreter, or Chat Completions API for broad provider compatibility) and the open-source Open Deep Research stack (based on smolagents). - Python 3.9+ - OpenAI API access (Responses API models, e.g., o4-mini-deep-research-20

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

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).

An MCP server that enables AI agents to control web browsers using browser-use. - uv - Fast Python package manager - Playwright - Browser automation - mcp-proxy - Required for stdio mode Create a .env file: - [x] Browser Automation: Control browsers through AI agents - [x] Dual Transport: Support for both SSE and stdio protocols - [x] VNC Streaming: Watch browser automation in real-time - [x] Asyn

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.

Use when user needs capabilities Claude lacks (image generation, real-time X/Twitter data) or explicitly requests external models ("blockrun", "use grok", "use gpt", "dall-e", "deepseek")

A structural codebase indexer with an MCP server for AI-assisted development. Zero runtime dependencies — uses Python's ast module for Python analysis and regex-based parsing for TypeScript/JS, Go, and Rust. Requires Python 3.11+. Indexes codebases by parsing source files into structural metadata -- functions, classes, imports, dependency graphs, and cross-file call chains -- then exposes 18 query

A Model Context Protocol (MCP) server that provides access to Fantasy Premier League (FPL) data and tools. This server allows you to interact with FPL data in Claude for Desktop and other MCP-compatible clients. Demo of the Fantasy Premier League MCP Server in action - Claude Desktop - Other MCP Compatible Desktop LLMs Mobile is currently not supported. - Rich Player Data: Access comprehensive pla

Context compaction for AI code assistants – Give your AI structured, token-efficient access to 17+ languages including Elixir, Python, TypeScript, JavaScript, Rust, and more. Quick Install · Security · Developers · AI Assistants · Docs The core problem: AI code assistants waste context on blind searches. Grep dumps entire files when you only need a function signature, leaving less room for actual

Educational MCP server with 17 tools, persistent workspace, and cloud hosting. Built with FastMCP and the official Model Context Protocol Python SDK. Available on: - Official MCP Registry - io.github.clouatre-labs/math-mcp-learning-server - PyPI - math-mcp-learning-server Requires an MCP client: - Claude Desktop - Anthropic's desktop app - Claude Code - Command-line MCP client - Goose - Open-sourc