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Found 62 Skills
Create, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python.
Python skill router. Use when planning, implementing, or reviewing Python changes and you need to select focused skills for workflow, design, typing/contracts, reliability, testing, data/state, concurrency, integrations, runtime operations, or notebook async behavior.
Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.
Expert guidance for writing Python code using the official Google GenAI SDK (google-genai) for Gemini API and Vertex AI. Use for text generation, multimodal inputs, reasoning, tools, and media generation.
Guide for building high-quality MCP (Model Context Protocol) servers in Python or Node/TypeScript to integrate external APIs/services.
Python tooling conventions. Use when working on .py files, pyproject.toml, or Python projects. Enforce uv for package management, ty for type checking. NOT for JavaScript/TypeScript projects or shell scripts.
Install and configure Evernote SDK and OAuth authentication. Use when setting up a new Evernote integration, configuring API keys, or initializing Evernote in your project. Trigger with phrases like "install evernote", "setup evernote", "evernote auth", "configure evernote API", "evernote oauth".
Python expert for stdlib, packaging, type hints, async/await, and performance optimization
Create and manage Infrahub transforms. Use when building data transformations, config generation, or any workflow that converts Infrahub data into a different format (JSON, text, CSV, device configs) using Python or Jinja2 templates.
Expert-level real estate systems, property management, MLS integration, CRM, virtual tours, and market analysis
Expert-level hotel management, reservation systems, guest services, revenue management, and hospitality technology
Python development guidance with code quality standards, error handling, testing practices, and environment management. Use when writing, reviewing, or modifying Python code (.py files) or Jupyter notebooks (.ipynb files).