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Found 1,224 Skills
Simplifies and refines Python code for clarity, consistency, and maintainability while preserving all functionality. Applies dignified-python standards. Focuses on recently modified code unless instructed otherwise.
Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and demos.
Comprehensive Python expertise covering language fundamentals, idiomatic patterns, software design principles, and production best practices. Use when writing, reviewing, debugging, or refactoring Python code. Triggers: Python, .py files, pip, uv, pytest, dataclasses, asyncio, type hints, or any Python library.
在 Python 项目中默认使用 uv 替代 pip 进行依赖管理和虚拟环境创建，提升 10-100x 安装速度。当处理 Python 项目、创建虚拟环境、安装依赖、或用户提到 pip/venv/virtualenv 时使用。
42-skill marketing division for AI coding agents. 7 specialist pods covering content, SEO, CRO, channels, growth, intelligence, and sales. Foundation context system + orchestration router. 27 Python tools (all stdlib-only). Works with Claude Code, Codex CLI, and OpenClaw.
Interactively fix any type checking issues in Python code
Upgrade Python dependencies using uv, then run post-upgrade checks to ensure nothing is broken.
TianQin SDK (tqsdk) - Python量化交易框架，用于期货/期权/股票交易策略开发、回测与实盘交易
Use this skill when creating ANY presentation, slide deck, or .pptx file. Triggers: "зроби презентацію", "create presentation", "make slides", "pitch deck", any topic + "presentation". Generates Python code using python-pptx library. Requirements: ≥15 slides, deep research, infographics, academic design, citations on every slide, speaker notes 800–2000 words per slide.
Analyze Python code for style improvements including naming, structure, nesting, and cognitive load reduction
Upgrades Python pip/poetry/pipenv dependencies with breaking change handling
Improve test coverage in the OpenAI Agents Python repository: run `make coverage`, inspect coverage artifacts, identify low-coverage files, propose high-impact tests, and confirm with the user before writing tests.