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Found 1,226 Skills
Guides the agent through running and configuring ASGI servers (Uvicorn, Granian, Hypercorn) for Python web applications. Triggered when users say "run a FastAPI app", "configure uvicorn", "set up ASGI server", "deploy with uvicorn", "configure workers", "set up SSL/TLS", "run development server", "configure hot reload", or mention ASGI server, production deployment, server configuration, uvicorn, granian, or hypercorn.
Guides the agent through running and writing Python tests with pytest. Triggered when users say "run tests", "write a test", "test this function", "add unit tests", "run pytest", "check test coverage", "debug failing test", "create test fixtures", "mock a dependency", or mention pytest, pytest-asyncio, pytest-cov, testing, unit tests, integration tests, test coverage, or test-driven development.
Guides building Docker images and composing containers for Python/FastAPI applications. Triggered when users ask to "create a Dockerfile", "dockerize a Python app", "optimize Docker image", "create docker-compose", "set up multi-stage build", "reduce Docker image size", "create development container", or "configure Docker for FastAPI". Covers Docker, Dockerfile, container, image build, docker-compose, and containerization best practices for production and development workflows.
Provides Python async/await patterns and asyncio best practices. Activated when the user asks about async/await patterns, asyncio best practices, concurrent tasks, async generators, task groups, async context managers, event loops, running blocking code in async, or async testing. Covers asyncio, concurrency, async iterators, semaphores, and asynchronous programming patterns in Python.
Guides the agent through Python project management with uv, the fast Rust-based package and project manager. Triggered when users say "create a Python project", "init a Python project with uv", "add a dependency", "manage Python packages", "sync dependencies", "lock dependencies", "run a Python script", "set up pyproject.toml", or mention uv, package management, virtual environments, or Python project initialization.
A next-generation HTTP client for Python with both sync and async support, perfect for modern Python applications
Develop agentic software and multi-agent systems using Google ADK in Python
pytest testing patterns for Python. Triggers on: pytest, fixture, mark, parametrize, mock, conftest, test coverage, unit test, integration test, pytest.raises.
Refactor Django/Python code to improve maintainability, readability, and adherence to best practices. Transforms fat views, N+1 queries, and outdated patterns into clean, modern Django code. Applies Python 3.12+ features like type parameter syntax and @override decorator, Django 5+ patterns like GeneratedField and async views, service layer architecture, and PEP 8 conventions. Identifies and fixes anti-patterns including mutable defaults, bare exceptions, and improper ORM usage.
Modern Python project architecture guide for 2025. Use when creating Python projects (APIs, CLI, data pipelines). Covers uv, Ruff, Pydantic, FastAPI, and async patterns.
Create serverless endpoint templates and endpoints on RunPod.io. Supports Python/Node.js runtimes, GPU selection (3090, A100, etc.), and idempotent configuration. Use this skill when a user wants to set up a new serverless endpoint or template on RunPod.
A high-level interactive graphing library for Python. Ideal for web-based visualizations, 3D plots, and complex interactive dashboards. Built on plotly.js, it allows users to zoom, pan, and hover over data points in a browser-based environment. Use for interactive charts, web applications, Jupyter notebooks, 3D data visualization, geographic maps, financial charts, animations, time-series analysis, and building production-ready dashboards with Dash.