36,898 skills sorted by stars.
Apply pytest best practices and project testing conventions. Use when writing or modifying tests.
Create comprehensive Python test suites with pytest. Supports unit, integration, e2e, and user flow tests. Dual-mode tes...
Python 3.11+ performance optimization guidelines (formerly python-311). This skill should be used when writing, reviewin...
---name: pandas-best-practices
Modern Python 3.13 development patterns and syntax including async/await, pattern matching, and modern type annotations....
Advanced Python profiling with cProfile, py-spy, and optimization techniques including Python 3.13 features. PROACTIVELY...
Comprehensive Python AI/ML development expert with 10+ years experience using UV package manager. Covers PyTorch, Tensor...
Expert guidance for Python AI development fundamentals, essential libraries, data structures, async programming, and bes...
Python data analysis with pandas, numpy, and analytics libraries
Format and analyze Python code using ruff (formatting/linting) and ty (static type checking). Use when the user asks to...
Enforce production-quality Python code standards. Prevents generic AI patterns through PEP 8 compliance, type hints, and...
Use when planning, implementing, or reviewing code for any Python project — designing architecture, writing classes or f...
Comprehensive design architecture review for Python backend applications. Use this skill when users ask you to review, a...
Expert assistance with the Atomic Simulation Environment (ASE) Python library for atomistic simulations, including struc...
Asyncio is a concurrency model designed for IO-bound and high-level structured network code. It uses cooperative multita...
Use when fixing a Python test that has failed multiple attempts, when print-debugging hasn't revealed the issue, or when...
Python backend developer for FastAPI, Django, and Flask. Use when building Python APIs, REST endpoints, or data processi...
Python backend expert including Django, FastAPI, Flask, SQLAlchemy, and async patterns
OpenTelemetry instrumentation for Python backend services
Python 코딩 표준 및 스타일 가이드. 타입 힌트, import 정렬, 예외 처리 등.
Validates that all imports follow fail-fast principle by detecting try/except ImportError patterns, conditional imports,...
Perform comprehensive dead code and clean-up analysis in Python projects using static analysis, coverage, dependency che...
Universal Python CLI development patterns and best practices
CLI application patterns for Python. Triggers on: cli, command line, typer, click, argparse, terminal, rich, console, te...
Use when building or structuring Python CLI commands with Typer, including commands, options, and multi-command apps.
审查 Python 代码，提供改进建议，确保代码质量和最佳实践
Modern Python 3.12+ development with uv, ruff, pydantic, FastAPI, async patterns, and production-ready practices.
Work on Python experiments in packages/python_viterbo. Use for layout conventions, stage entrypoints, lint/test commands...
Comprehensive Python development expertise covering modern best practices, type hints, FastAPI web development, async/aw...
编写用于数据清洗、分析和可视化的 Python 脚本 (Pandas/Matplotlib)
Comprehensive Python data engineering patterns for AWS Data Lake, including PySpark, Pandas, Apache Airflow, AWS Glue, E...
Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigoro...
Professional data visualization using Python (matplotlib, seaborn, plotly). Create publication-quality static charts, st...
Debug Python errors, exceptions, and unexpected behavior. Analyzes tracebacks, reproduces issues, identifies root causes...
Python debugging methodology and problem-solving framework. Use when investigating exceptions, async issues, logging pro...
Master debugger for Python code with expertise in common errors, performance issues, and debugging tools
World-class
當要開發或修改 Python 程式碼時使用。
Python development best practices for modern Python projects. Activated when working with Python files, pyproject.toml,...
Эксперт Python разработки. Используй для Python best practices, async, typing и ecosystem.
将既有或新编写的 Python 脚本重构为双模式模块，用于稳定、可维护的数据处理流。
Handle noisy git diffs from src/*.egg-info generated by editable installs (uv) and decide whether to commit or ignore.
Writes, reviews, and refactors Python code following modern best practices. Specialises in Python 3.12+, uv for project...
Comprehensive Python engineering guidelines for writing production-quality Python code. This skill should be used when w...
Python environment setup with uv, shared utilities, and script structure guidelines.
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Python FastAPI 开发规范和最佳实践指南。适用于现代Web应用开发，涵盖项目架构、编码规范、异步编程、测试、部署等全方位内容。
Use when building FastAPI backends, creating API endpoints, implementing Pydantic models, using SQLAlchemy ORM, or worki...