moai-lang-python
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python-packaging
Python package management with poetry, pip, and uv including dependency resolution, lock files, version pinning, security audits (pip-audit, safety), virtual environments, and dependency graphs. Use when managing dependencies, resolving version conflicts, setting up new projects, or investigating security vulnerabilities in packages.
async-python
Python async/await patterns with asyncio, concurrent.futures, threading, and multiprocessing. Covers async context managers, timeouts, cancellation, common pitfalls (blocking in async, missing await, event loop issues), and choosing between async/threading/multiprocessing. Use when writing async code, debugging async issues, choosing concurrency approaches, or testing async functions.
Python Style Standards
Python coding standards including line length (80 chars), naming conventions (snake_case, PascalCase), type hints, docstrings, exception handling, and logging patterns. Use when writing new Python code or reviewing code quality.
performance-profiling
Python performance profiling with cProfile, line_profiler, memory_profiler, and py-spy. Covers profiling workflows, interpreting results, finding bottlenecks, memory leak detection, and optimization strategies. Use when code is slow, debugging performance issues, optimizing for production, or investigating memory usage.
python-linting
Python linting and type checking using ruff (formatting + linting) and pyright (type checking). Covers common errors, configuration, fixing violations, and when to use noqa. Use when fixing linting errors, configuring ruff/pyright, or understanding Python code quality tools.
sqlite-best-practices
SQLite best practices including WAL checkpoint timing for multiprocessing, stateful batch connections for atomicity, and performance configuration. Use when working with SQLite in Python projects requiring concurrent access, multi-table atomicity, or multiprocessing.
python
Always use this skill when writing or editing python code!
marimo
This skill should be used when the user asks to "use marimo", "create a marimo notebook", "debug a marimo notebook", "inspect cells", "understand reactive execution", "fix marimo errors", "convert from jupyter to marimo", or works with marimo reactive Python notebooks.
jupytext
This skill should be used when the user asks to "convert notebook to text", "use jupytext", "version control notebooks", "share data between kernels", "set up multi-kernel project", "pair notebooks with Python files", "sync ipynb and py files", or needs multi-kernel projects (Python/R/Stata/SAS) with version-control-friendly notebooks.
code-conventions
코드 컨벤션, 코딩 스타일, 코드 스타일, 네이밍, 컨벤션 - Always apply when writing code. Code style, naming rules, function/file size limits for TypeScript, Python, and Java.
telegram-bot-performance-engineer
This skill should be used when analyzing, profiling, or optimizing Telegram bots built with Python/Telethon, especially for performance bottlenecks, rate limits, caching, API usage, or when the user asks for a full repo review or best practices.
uv-package-manager
Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.
python-testing-patterns
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
python-performance-optimization
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
python-packaging
Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.
async-python-patterns
Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
csv-data-summarizer
Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
svg-logo-generator
Generate high-quality, minimalistic, and geometric SVG logos using Python scripts. Use this skill when users need to create logos, icons, or visual identities with geometric primitives (circles, rects, paths) and specific color schemes. Applies generative design principles with standardized workflows for scalable SVG output.
mcp-builder
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 services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
testing-gh-skills
SLASH COMMAND ONLY - Do NOT invoke automatically. Only runs via /test-gh-skills command. Executes Python test orchestrator for 80 tests across 6 skill groups.
code-refactoring
Proactively monitors file sizes and suggests refactoring BEFORE editing. Auto-invoked when files exceed size thresholds (150/200/300 lines) or complexity patterns detected. Works across JavaScript/TypeScript, Python, and general codebases. Prevents accidental complexity growth.
readme-generator
Generate and improve README files for software projects. Triggers on: 'create readme', 'generate readme', 'write readme', 'improve readme', 'update readme', 'fix readme', 'readme for this project'. Supports Rust (libraries, CLI tools, services), TypeScript/JavaScript (npm packages), and Python (PyPI packages). Applies ecosystem-specific conventions: badges, installation sections, MSRV for Rust, feature flags documentation.
context-memory
Python utility API for storing and retrieving project context in Obsidian vault markdown notes
async-python-patterns
Python asyncio and concurrent programming patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
python-testing-patterns
Python testing patterns and best practices using pytest, mocking, and property-based testing. Use when writing unit tests, integration tests, or implementing test-driven development in Python projects.
python-performance-optimization
Python performance optimization patterns using profiling, algorithmic improvements, and acceleration techniques. Use when optimizing slow Python code, reducing memory usage, or improving application throughput and latency.
mcp-builder
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 services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK). | Sử dụng khi: tạo MCP server, xây dựng tool server.
backend-development
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 2.1, JWT), testing strategies, security best practices (OWASP Top 10), performance optimization, scalability patterns (microservices, caching, sharding), DevOps practices (Docker, Kubernetes, CI/CD), and monitoring. Use when designing APIs, implementing authentication, optimizing database queries, setting up CI/CD pipelines, handling security vulnerabilities, building microservices, or developing production-ready backend systems. | Sử dụng khi xây dựng API, server, backend, máy chủ, xử lý dữ liệu, endpoint, microservices.
data-gouv
Skill professionnel pour Claude Code permettant d'accéder, télécharger et analyser les données ouvertes françaises via data.gouv.fr. Inclut une librairie Python complète, des exemples de code, et une documentation détaillée des datasets les plus utilisés.
uv
Python package manager and project tooling using uv. Use when working with Python projects, managing dependencies, creating virtual environments, running Python scripts, configuring workspaces/monorepos, or troubleshooting uv issues. Triggers on pyproject.toml projects, uv commands, pip replacement workflows, Python version management, workspace configuration, or CI/CD Python setup.
python-pypi-setup
Set up Python project for PyPI publishing with pyproject.toml, src layout, and build scripts. Use when creating a new Python package, setting up for PyPI distribution, or initializing a Python library project.
mz-configure-loki-logging
Configure Grafana Loki logging using mazza-base library for Python/Flask applications with CA certificate (Mazza-specific). Use when setting up Loki logging for Mazza projects or configuring centralized logging.
kurrentdb
Provides KurrentDB (EventStoreDB) client code for event sourcing and CQRS. Generates correct package names, connection strings, and API patterns for Python, Node.js, .NET, F#, Go, Java, Rust. Triggers on "kurrentdb", "eventstore", "event sourcing", "append events", "read stream", "subscription", "aggregate", "CQRS".
mcp-builder
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 services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
python-fastapi-ai
Python FastAPI patterns, Alembic migrations, Pydantic v2, and AI Engineering (raw patterns, LangChain, Google ADK). This skill should be used when working with Python APIs, database migrations, or AI/LLM applications.
dapr-code-generator
Generate Python boilerplate code for DAPR microservices, workflows, and actors. Creates properly structured services with DAPR SDK integration, health endpoints, logging, and best practices. Use when creating new services, adding DAPR features, or scaffolding projects.
deploy-agentcore
Deploy Python agents to AWS Bedrock AgentCore. Use when deploying agents to AWS, setting up serverless agent hosting, configuring AgentCore components (Runtime, Gateway, Memory, Identity, Policy), or troubleshooting deployment errors.
python
Default Python stack for Lambda: uv + Astral tools, typed code, schemas, and Hypothesis.
script-development
スクリプト開発ガイド。Shell、Python、Node.jsスクリプト、自動化、バッチ処理、環境変数管理など、効率的なスクリプト開発のベストプラクティス。
python-development
Python開発ガイド。FastAPI、Django、Flask、型ヒント、非同期処理、データ処理、パフォーマンス最適化など、Pythonアプリケーション開発のベストプラクティス。
cli-development
CLIツール開発ガイド。Node.js（Commander、Inquirer）、Python（Click、Typer）、Go（Cobra）、引数パース、インタラクティブUI、アーキテクチャ設計、テスト、配布方法など、プロフェッショナルなCLIツール開発のベストプラクティス。
python-performance-optimization
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
python-log-expert
Expert guidance for Python logging libraries including structlog, standard logging, and log analysis. Use when working with Python logs, troubleshooting logging issues, implementing logging best practices, or analyzing structlog source code implementation. Includes complete structlog source code in source/structlog/ for deep implementation analysis. Requires structlog package.
uv-expert
Expert guidance for uv Python package and project manager. Use when working with uv, Python dependency management, project setup, virtual environments, or when users mention uv commands, pip alternatives, or fast Python package management.
python-expert-tester
Expert guidance for Python testing that analyzes your existing setup and provides evidence-based recommendations. I'll examine your current tests, configurations, and dependencies before suggesting changes. Use when writing tests, improving coverage, debugging issues, or optimizing testing setup.
feishu-openapi-dev
Expert guidance for Feishu (飞书) / Lark OpenAPI Python development. Build Feishu applications, robots, handle event subscriptions, card callbacks, and API integrations. Use when working with Feishu SDK, lark-oapi, building Feishu bots, or mentioning 飞书 development.
langgraph-python-expert
Expert guidance for LangGraph Python library. Build stateful, multi-actor applications with LLMs using nodes, edges, and state management. Use when working with LangGraph, building agent workflows, state machines, or complex multi-step LLM applications. Requires langgraph, langchain-core packages.
python-file-splitter
Split large Python files into multiple files organized as a package. Use when user says "split this file", "this file is too big", "break this into multiple files", or similar requests for Python (.py) files.
python-dataviz
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