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Design colorful CLI output with ANSI colors, syntax highlighting, status indicators, and terminal formatting. Use libraries like rich (Python) or chalk (Node.js). Use when designing CLI output, formatting terminal messages, or building command-line interfaces.
Implement or refactor the Python CLI tic-tac-toe game in this repo, including board model, move validation, win/draw logic, game loop, and bot behavior. Use when working on core gameplay modules or CLI entrypoints for this project.
Patterns for building Click CLI applications with Rich output formatting, shell completion, and interactive pickers. Use when creating new CLI commands, adding shell completion, implementing interactive selection, or testing CLI functionality. Covers command groups, formatters, exit codes, and CliRunner testing.
Create or extend Python command-line interfaces using Typer and wire them into pyproject.toml entry points. Use when asked to add a new CLI, add a subcommand, or expose a console script for a Python package, especially when pyproject.toml needs [project.scripts] updates or an empty directory needs full project initialization.
Comprehensive guide to CPU and memory profiling in Node.js and Python for identifying bottlenecks and optimizing performance
Python >=3.11 performance optimization guidelines. This skill should be used when writing, reviewing, or refactoring Python code to ensure optimal performance patterns. Triggers on tasks involving asyncio, data structures, memory management, serialization, concurrency, or Python performance optimization.
解析云快充充电桩通信协议报文,支持CRC16校验、多种帧类型解析、错误诊断,返回标准JSON格式。用于处理云快充协议V1.6的报文数据。
Setup VSCode for F5 Python debugging in UE5 editor. Use when users need to (1) configure VSCode for UE5 Python debugging, (2) setup debugpy remote debugging workflow, (3) enable breakpoint debugging in UE5 Python scripts, or (4) create VSCode launch/task configurations for UE5.
Debug TUI (Text User Interface) applications through visual observation and semantic inspection. Use when: (1) debugging rendering issues in terminal UIs, (2) troubleshooting widget behavior or key bindings, (3) diagnosing data flow issues where updates aren't appearing in widgets, (4) investigating layout problems, (5) any TUI application debugging where you need to observe runtime state. Supports Textual (Python) with deep semantic inspection, and any TUI via mcp-tui-server visual observation.
Use when profiling and making small performance improvements in Python research code.
Optimizes Python library performance through profiling (cProfile, PyInstrument), memory analysis (memray, tracemalloc), benchmarking (pytest-benchmark), and optimization strategies. Use when analyzing performance bottlenecks, finding memory leaks, or setting up performance regression testing.
WHEN: Flask project review, Blueprint structure, extensions, request handling WHAT: Blueprint organization + Extension patterns + Request/response handling + Configuration + Testing WHEN NOT: FastAPI → fastapi-reviewer, Django → django-reviewer, General Python → python-reviewer
Python performance optimization and profiling
Calculate takeoff and landing performance for Cirrus SR22T at any runway. Input weather (winds, temp, altimeter) and runway data (elevation, heading, length) to get performance calculations, approach speeds, safety margins, and passenger briefing scripts. Use when evaluating runway feasibility, checking hot day performance, or analyzing unfamiliar airports.
Detect and fix memory leaks in Python and PyTorch code, especially matplotlib figures and unreleased tensors. This skill should be used during Phase 4 performance optimization when memory usage grows over time.
Use when profiling Python code, optimizing performance, implementing async patterns, or working with concurrent I/O - covers cProfile, line_profiler, asyncio patterns, and multiprocessing for CPU-bound tasks (plugin:dev-python@pproenca)
