stevenke1981/python_skills

py-ai

Design and implement Python AI applications with provider-neutral LLM clients, local models, structured outputs, RAG, embeddings, reranking, tool calling, agents, streaming, evaluation, observability, and GPU inference. Use when building or reviewing…

py-async

Design and debug Python asyncio systems with structured concurrency, TaskGroup, gather, cancellation, timeouts, bounded concurrency, queues, backpressure, streaming, graceful shutdown, blocking-call isolation, and async testing. Use for concurrent I/O,…

py-cli

Build and review robust Python command-line applications with argparse, Typer, Click, Rich, or Textual. Use for commands, subcommands, options, config precedence, environment variables, stdin/stdout/stderr contracts, exit codes, JSON output, progress, shell…

py-data

Build and review reliable Python data workflows with pandas 3, Polars, NumPy, Arrow, DuckDB, CSV, Parquet, and ETL patterns. Use for DataFrame transformations, schema design, null handling, joins, aggregations, time series, lazy or streaming execution,…

py-gui

Build and review cross-platform Python desktop applications with tkinter, ttk, CustomTkinter, PySide6, or PyQt6. Use for windows, widgets, layouts, dialogs, system tray, background jobs, event loops, model-view separation, accessibility, high-DPI behavior,…

py-modern

Modernize Python projects and choose version-appropriate language features. Use for Python 3.12, 3.13, or 3.14 upgrades, PEP 695 generics, typing improvements, deferred annotations, template strings, free-threaded CPython, experimental JIT evaluation,…

py-network

Build and review authorized Python networking software across TCP, UDP, TLS, HTTP clients, WebSocket, DNS, SSH, proxies, and custom protocols. Use for socket or asyncio streams, message framing, connection limits, timeouts, retries, backpressure, graceful…

py-packaging

Package, build, lock, install, and publish Python applications or libraries with pyproject.toml, PEP 517/518/621 metadata, uv, pip, build backends, src layouts, wheel, sdist, dependency groups, entry points, CI matrices, TestPyPI, Trusted Publishing, and…

py-patterns

Design and refactor maintainable Python architecture with Protocol, dataclasses, composition, dependency injection, Strategy, Factory, Adapter, Repository, Unit of Work, state machines, domain services, events, and clean module boundaries. Use when coupling,…

py-perf

Measure, diagnose, and improve Python performance with reproducible benchmarks, cProfile, Pyinstrument, py-spy, Scalene, Memray, tracemalloc, line profiling, allocation analysis, algorithmic changes, vectorization, caching, concurrency, and performance…

py-testing

Design, implement, and repair Python test suites with pytest, fixtures, parametrization, mocks, fakes, property-based testing, async tests, integration tests, contract tests, coverage, flaky-test diagnosis, and CI quality gates. Use when adding tests,…

py-web

Build and review production Python web services with FastAPI, Starlette, Pydantic, SQLAlchemy, ASGI, HTTP clients, REST APIs, WebSocket, authentication, authorization, transactions, lifespan resources, middleware, CORS, idempotency, rate limits,…