Loading...
Loading...
Found 1,567 Skills
Generates, explains, and tests regular expression patterns. Builds patterns from positive and negative examples, breaks down each component with a readable explanation table, generates edge-case test suites, and provides usage examples in Python and JavaScript. Triggers on: "regex for", "regular expression", "pattern for", "match strings like", "extract from", "build regex", "create pattern", "explain this regex", "what does this regex do", "regex to match", "parse with regex", "validate format". Use this skill when building, explaining, or testing a regular expression pattern.
Best practices for developing tools, dashboards and interactive data apps with HoloViz Panel. Create reactive, component-based UIs with widgets, layouts, templates, and real-time updates. Use when developing interactive data exploration tools, dashboards, data apps, or any interactive Python web application. Supports file uploads, streaming data, multi-page apps, and integration with HoloViews, hvPlot, Pandas, Polars, DuckDB and the rest of the HoloViz and PyData ecosystems.
Add custom local tools to ToolUniverse and use them alongside the 1000+ built-in tools. Use this skill when a user wants to: create their own tool for a private or custom API, add a local tool to their workspace, integrate an internal service with ToolUniverse, or use a custom tool via the MCP server or Python API. Covers both the JSON config approach (easiest, no Python needed) and the Python class approach (full control). Also covers how to verify tools loaded correctly and how to call them. Also covers the plugin package approach for reusable, shareable, pip-installable tool sets.
Guide for using ruff, the extremely fast Python linter and formatter. Use this when linting, formatting, or fixing Python code.
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。
Interactively fix any type checking issues in Python code
Upgrade Python dependencies using uv, then run post-upgrade checks to ensure nothing is broken.
Comprehensive Python programming guidelines based on Google's Python Style Guide. Use when you needs to write Python code, review Python code for style issues, refactor Python code, or provide Python programming guidance. Covers language rules (imports, exceptions, type annotations), style rules (naming conventions, formatting, docstrings), and best practices for clean, maintainable Python code.
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.