box-factory-uv-scripts
UV-specific patterns for single-file Python scripts using inline metadata (PEP 723). Use when creating Python hooks, standalone utilities, or executable scripts in UV-managed projects.
Skills correspondant au nom, à la description ou à l’auteur GitHub.
UV-specific patterns for single-file Python scripts using inline metadata (PEP 723). Use when creating Python hooks, standalone utilities, or executable scripts in UV-managed projects.
Interpretive guidance for Python code quality using ruff (modern) or pylint+isort+black (traditional). Use when linting Python files, configuring Python tools, troubleshooting lint errors, or understanding tool...
Universal polyglot linting capabilities for Python, JavaScript/TypeScript, Markdown, Shell, Ruby, YAML, and JSON files. Use when you need to lint files programmatically, understand tool selection logic, or invo...
Deploy and manage Docker containers on Cloudflare's global network alongside Workers. Use when building applications that need to run Python code, process large files (multi-GB zips, video transcoding), execute...
Manage Python projects with uv. Use when creating Python projects, managing dependencies, running scripts, or installing Python versions.
Advanced Python testing strategies with Pytest, covering fixtures, matrix testing with parametrization, and async test architecture. Triggers: pytest, fixtures, parametrize, pytest-asyncio, matrix-testing, yiel...
Universal functions (ufuncs) for vectorization, including reductions, in-place operations, and custom Python-function wrapping. Triggers: ufunc, vectorize, reduce, accumulate, frompyfunc, in-place.
Asyncio patterns in Python for high-concurrency IO-bound tasks. Includes coroutines, task management, and asynchronous resource handling. Triggers: asyncio, python-async, coroutine, await, async-gather, async-g...
Implement payment integrations with SePay (Vietnamese payment gateway with VietQR, bank transfers, cards) and Polar (global SaaS monetization platform with subscriptions, usage-based billing, automated benefits...
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or...
Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (NestJS, FastAPI, Django), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL, gRPC), authentication (OAuth...
Build professional Python CLIs with modern UX patterns using pyfiglet (ASCII banners), typer (commands), questionary (interactions), and rich (formatting). Use when creating command-line tools, automation scrip...
代码风格规范 / Code style conventions。在编写、编辑、评审 Python 代码时使用。包括类型注解、Decimal 精度、Docstring、模块组织等规范。Use when writing, editing, or reviewing Python code. Enforces type hints, Deci...
Extracts, transforms, and analyzes NBA statistics using the nba_api Python library. Use when working with NBA player stats, team data, game logs, shot charts, league statistics, or any NBA-related data engineer...
Auto-generated CLI patterns using Google Fire with class-based structure, docstring parsing, and nested classes. Use when building Python CLI applications, creating Fire CLIs, implementing auto-generated comman...
Standard library Python argparse examples with subparsers, choices, actions, and nested command patterns. Use when building Python CLIs without external dependencies, implementing argument parsing, creating sub...
CLI testing strategies and patterns for Node.js (Jest) and Python (pytest, Click.testing.CliRunner). Use when writing tests for CLI tools, testing command execution, validating exit codes, testing output, imple...
Click framework examples and templates - decorators, nested commands, parameter validation. Use when building Python CLI with Click, implementing command groups, adding CLI options/arguments, validating CLI par...
Run Bandit security analysis to find common security issues and vulnerabilities in Python code. Use when the user mentions Bandit, security analysis, vulnerability scanning, security audit, software composition...
Architecture patterns for rRNA-Phylo project including FastAPI backend design, service organization, async task processing with Celery, Pydantic schemas, testing with pytest, Biopython integration, and API desi...
Comprehensive guide to phylogenetic tree visualization including matplotlib (Python), ggtree (R), and publication-quality figure generation. Covers rectangular, circular, radial layouts, bootstrap annotations,...
Write clean, consistent code following established naming conventions, formatting rules, and the DRY principle across all files. Use this skill when writing any code in any file, naming variables and functions,...
This skill should be used when conducting comprehensive code reviews and codebase audits. Invoke when the user requests to review code quality, security vulnerabilities, performance issues, or best practices ac...
A skill for creating comprehensive Python unit tests using pytest. It provides guidance and templates for test structure, fixtures, mocking, parameterization, and coverage. Use this when you need to write unit...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.