Browse 138,453 skills across 70 categories. Mirrored from majiayu000/claude-skill-registry.
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 variable management using .env files and python-dotenv for simple projects
USE WHEN you need to create, activate, or manage Python virtual environments (venv/virtualenv); install dependencies in...
Fast Python environment management with uv (10-100x faster than pip). Triggers on: uv, venv, pip, pyproject, python envi...
Python environment setup with uv, shared utilities, and script structure guidelines.
Python error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when...
Use when designing error handling, retry policies, timeout behavior, or failure classification in Python. Also use when...
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). Pre-installed: NumPy, Pand...
Expert-level Python development with Python 3.12+ features, async/await, type hints, and modern best practices
Expert in Python development including async programming, type hints, testing with pytest, and modern Python patterns. U...
Python 프로그래밍 전문가. 코드 작성, 디버깅, 최적화, 라이브러리 사용법 안내.
Use for Python development requiring async programming, type system expertise, testing patterns, or performance optimiza...
Expert guidance for Python testing that analyzes your existing setup and provides evidence-based recommendations. I'll e...
Build high-performance Python APIs with FastAPI. Covers async endpoints, dependency injection, Pydantic validation, Open...
| Layer | File | Purpose |
Python FastAPI development with uv package manager, modular project structure, SQLAlchemy ORM, and production-ready patt...
Guides the FastAPI Presentation layer in a Python DDD + Onion Architecture app (route handler structure, Pydantic reques...
Guides FastAPI backend design using Domain-Driven Design (DDD) and Onion Architecture in Python. Use when structuring a...
Guides unit testing for Python DDD + Onion Architecture apps (Domain Entities/Value Objects and UseCases) using pytest a...
This skill is about developer experience and quality automation for a DDD FastAPI project, following the conventions in...
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。
Python FastAPI backend development with async patterns, SQLAlchemy, Pydantic, authentication, and production API pattern...
Use when building FastAPI backends, creating API endpoints, implementing Pydantic models, using SQLAlchemy ORM, or worki...
FastAPI best practices, async patterns, and Pydantic validation
FastAPI web framework patterns. Triggers on: fastapi, api endpoint, dependency injection, pydantic model, openapi, swagg...
Secure filename sanitization pattern for Python web applications. Use when: (1) Accepting user-provided filenames for fi...
Defensive programming pattern for generating valid filenames from user input with intelligent fallback when titles conta...
Use flynt to convert old Python string formatting to f-strings. Activate when: (1) Converting %-formatting to f-strings,...
Master Python syntax, data types, control flow, functions, OOP, and standard library
| Feature | Version | Syntax |
| Action | Purpose | Speed |
| Gotcha | Problem | Fix |
Python guardrails, patterns, and best practices for AI-assisted development. Use when working with Python files (.py), r...
Universal Python development guidelines and best practices
This skill should be used when writing, reviewing, or refactoring Python code. Covers code integration, idiomatic patter...
Specialized Python tutoring for HR analytics professionals. Use when working on HR/talent analytics tasks involving turn...
Use when building immutable state accumulators in Python. Frozen dataclass + tuple pattern with slots gotcha.
Use when building or reviewing external API integrations in Python — designing client boundaries, defining outbound reli...
Expert guidance for JAX (Just After eXecution) - high-performance numerical computing with automatic differentiation, JI...
UTF-8 JSON file I/O utilities to avoid Windows encoding issues (CP-1252 vs UTF-8)
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/J...
Guide coding agents to fix specific Python linter issues from Ruff. Use when encountering Ruff linter errors identified...
Python linting and type checking using ruff (formatting + linting) and pyright (type checking). Covers common errors, co...
Expert guidance for Python logging libraries including structlog, standard logging, and log analysis. Use when working w...
Use when choosing or configuring Python logging, especially deciding between stdlib logging and loguru for apps or CLIs.
Python development standards for Mark's workflow. Use when writing Python code, creating Python projects, adding type an...
Small Python utilities for math and text files.
Python SDKとFastMCPフレームワークを使用したModel Context Protocol (MCP) サーバー構築のガイド。PythonベースのMCPサーバーの作成、デバッグ、最適化を行う際に使用してください。
Generate a complete MCP server project in Python with tools, resources, and proper configuration
Implement domain-specific KPI metrics for business operations like charges, invoices, payments. Use when instrumenting s...
Prevent OutOfMemoryError from unbounded metric tags by implementing cardinality limits. Use when adding tags to Micromet...
Instrument Java/Spring Boot applications with observability metrics. Use when adding metrics to microservices, integrati...
Export Micrometer metrics to GCP Cloud Monitoring (Stackdriver) for GKE deployments. Use when setting up metrics export...
Sets up Micrometer metrics in a Spring Boot service from scratch, including dependencies, Actuator configuration, and re...
Define and monitor Service Level Indicators (SLIs) and Service Level Objectives (SLOs) using Micrometer histograms. Use...
| Pattern | Decorator | Use Case |
Build professional Python CLIs with modern UX patterns using pyfiglet (ASCII banners), typer (commands), questionary (in...
Use when choosing the right modern Python tooling workflow for a project or script (uv setup, quality tools, CLI, loggin...
Use when splitting a Python module (>400 LOC) into a package. mock.patch target update rules and checklist.
Use when you need a detailed execution trace of a Python script using sys.monitoring, including logging every operation...
Expert guidance for multiobjective optimization in Python - Pareto optimality, evolutionary algorithms (NSGA-II, NSGA-II...
Static type checking with Mypy for Python code quality. Use when writing or reviewing Python code to ensure type safety,...
Create a new modern Python project using `uv` and src-layout.
Set up Python projects using nix/direnv with uv for environment management. Use when creating new Python projects, initi...
Use when writing or reviewing asyncio code in Jupyter notebooks or '#%%' cell workflows — structuring event-loop ownersh...
Python observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, i...