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Found 49 Skills
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.
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.
Add support for a new CLI command. Use when implementing a handler or adding to SIMPLE_SAFE.
Эксперт Python разработки. Используй для Python best practices, async, typing и ecosystem.
Use this skill when you need to work with sentry through its generated async Python app, call its MCP-backed functions from code, or inspect available functions with the mcp-skill CLI.
Guide for building high-quality MCP (Model Context Protocol) servers in Python or Node/TypeScript to integrate external APIs/services.
Develop Python applications using modern patterns, uv, functional-first design, and production-first practices. Use this whenever working with .py files, pyproject.toml, uv commands, pip/pip3, poetry, virtualenv/venv, inline script metadata, or Python tooling like pytest, mypy, ruff, asyncio, itertools, functools, or dataclasses. If the task involves running Python, managing Python dependencies, creating environments, or building Python packages, load this skill and prefer uv-oriented workflows.
Python expert for stdlib, packaging, type hints, async/await, and performance optimization