Find the perfect capability for your agent.
Split large Python files into multiple files organized as a package. Use when user says "split this file", "this file is too big", "break this into multiple files", or similar requests for Python (.py) files.
Python package manager and project tooling using uv. Use when working with Python projects, managing dependencies, creating virtual environments, running Python scripts, configuring workspaces/monorepos, or troubleshooting uv issues. Triggers on pyproject.toml projects, uv commands, pip replacement workflows, Python version management, workspace configuration, or CI/CD Python setup.
Set up Python projects using nix/direnv with uv for environment management. Use when creating new Python projects, initializing Python environments, or when the user wants automatic Python virtual environment setup with nix flakes.
Generate standardized Python project structure with pyproject.toml, UV environment, pytest configuration, and workspace-hub compliance. Creates production-ready project scaffolding.
This skill should be used when creating new Python projects or managing Python dependencies. IMPORTANT - uv must ALWAYS be used for any Python-related commands in Python projects (running scripts, installing packages, creating virtual environments, etc.). Never use pip, python directly, or other package managers - always use uv commands (uv run, uv add, uv pip, etc.).
Master Python package management with Poetry, dependency resolution, publishing, and project structure
Guides modern Python project development. Use when pyproject.toml or requirements.txt is detected. Supports Python 3.13 + uv + ruff + mypy environment, FastAPI/FastMCP implementation, pytest, and Docker configuration.
Runs Python scripts and manages projects using uv. Use when asked to run a python script, execute python code, run pytest, or install packages. Always uses uv instead of pip or bare python.
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.
Master asynchronous programming with asyncio, async/await, concurrent operations, and async frameworks
Master Python fundamentals, OOP, data structures, async programming, and production-grade scripting for data engineering
Autonomous task execution with library discovery, 3-tier validation, and atomic git commits. Integrates with Shannon CLI Python modules for platform-specific execution. Invokes /shannon:wave for code generation, validates outputs functionally, commits only validated changes. Use when: user requests autonomous execution, wants library-first development, needs validated commits.
Set up GitHub Actions workflows for CI/CD with automated testing, linting, and deployment for Python/UV projects. Use when creating CI pipelines, automating tests, or setting up deployment workflows.
Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
Advanced Python Scheduler - Task scheduling and job queue system
Local Python-based browser automation toolkit using Playwright. Provides command-line tools for navigating, interacting with, and testing web applications. Supports clicking, typing, hovering, screenshots, content extraction, and JavaScript execution. Use this skill when you need to automate browser interactions, test web applications, or extract data from web pages.
