“Python”

Executes elements whose implementation is a python:// entry point, with the study's dependencies installed.

(💛) Create and manage AI agents using Google's Agent Development Kit (ADK) for Python.

Set up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3.

Use Google ADK Python to build agents, Workflow graphs, tools, runtime services, CLI apps, evaluations, deployments, and ADK repository changes.

Expert assistance with the Atomic Simulation Environment (ASE) Python library for atomistic simulations, including structure building, calculator setup…

Execute Python code to perform tasks that are not covered by other tools.

Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only.

Python backend for Databricks Apps — FastAPI (default), Flask, Dash, Streamlit, Gradio, Reflex.

Scaffold a new Python project with strict tooling — uv, src layout, ruff, pyright strict, tach layer enforcement, deptry, vulture, and an 8-hook pre-commit…

Execute arbitrary Python code and return stdout.

Use when the user wants to build a Python Kafka producer or consumer, add Schema Registry to existing Python code, migrate from raw JSON to schema-backed…

Use this built-in skill for lightweight Python-based data exploration, profiling, aggregation, and file-based analysis.

Python visual creation and matplotlib/seaborn patterns for PBIR reports.

Bootstrap a new Python project with the Astral toolchain (UV, Ruff, ty), flake8-stepdown, and pre-commit hooks.

Python scripting with uv and PEP 723 inline dependencies.

Use ArcGIS API for Python for GIS administration, spatial dataframes, feature/raster analysis, mapping, location services, geospatial deep learning, app…

Use this skill when the user asks to run, execute, or test Python code snippets.

Runs the bundled Python echo script with user-provided text.

cuOpt REST server — start server, endpoints, Python/curl client examples.

Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API.

Expert guidance for writing professional Python code following industry best practices including PEP 8 compliance, testing, type hints, error handling, and…

End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI.

Scaffold a new Python project with uv.

Python refactoring for readability, maintainability, and performance.