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Found 38 Skills
Expert in Python development with best practices across web, data science, and automation
Expert-level aerospace systems, flight management, maintenance tracking, aviation safety, and aerospace software
Modern Python development with uv (10-100x faster package manager) and ruff (extremely fast linter/formatter). Use when managing Python projects, dependencies, virtual environments, installing packages, linting code, or formatting Python files. Triggers on phrases like "uv install", "ruff check", "python package manager", "format python code", or working with pyproject.toml files.
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).
Write Python code following best practices. Use when developing Python applications. Covers type hints, async, and modern tooling.
Modern Python coaching covering language foundations through advanced production patterns. Use when asked to "write Python code", "explain Python concepts", "set up a Python project", "configure Poetry or PDM", "write pytest tests", "create a FastAPI endpoint", "run uvicorn server", "configure alembic migrations", "set up logging", "process data with pandas", or "debug Python errors". Triggers on "Python best practices", "type hints", "async Python", "packaging", "virtual environments", "Pydantic validation", "dependency injection", "SQLAlchemy models".
Use when implementing well-scoped Python tasks with clear requirements, writing unit tests, and producing documented code for senior-developer review.
Stream call audio in real-time, fork media to external destinations, and transcribe speech live. Use for real-time analytics and AI integrations. This skill provides Python SDK examples.
Configure phone number settings including caller ID, call forwarding, messaging enablement, and connection assignments. This skill provides Python SDK examples.
Before running Python scripts or installing packages, check for existing virtual environments and reuse them if found. If no virtual environment exists, ask the user to choose: (1) Create new venv in current directory (recommended), (2) Use system Python directly, or (3) Create venv at custom path. This applies to: running .py files, using pip/uv pip install, or any task requiring third-party packages. Exceptions: simple one-liners using only Python standard library.
Generar modelos Pydantic a partir de OpenAPI/JSON Schema como fuente única de verdad
Use when adding LangChain-based LLM routes or services in Python or Next.js stacks; pair with architect-stack-selector.