python-standards
Python coding standards, conventions, and best practices. Use when writing, reviewing, or testing Python code.
Skills correspondant au nom, à la description ou à l’auteur GitHub.
Python coding standards, conventions, and best practices. Use when writing, reviewing, or testing Python code.
[Extends backend-developer] Python FastAPI specialist. Use for FastAPI apps, async endpoints, Pydantic v2, SQLAlchemy async, dependency injection. Invoke alongside backend-developer for Python API projects.
LLMが外部サービスと対話するための適切に設計されたツールを通じて、高品質なMCP (Model Context Protocol) サーバーを作成するためのガイド。Python (FastMCP)、Node/TypeScript (MCP SDK)、Rust (Tokio)で、外部APIやサービ...
Generates property-based tests using Hypothesis (Python), fast-check (JavaScript/TypeScript), or QuickCheck (Haskell). Use when user asks to "generate property tests", "create hypothesis tests", "add property-b...
Generates FastAPI endpoints with proper Pydantic models, dependency injection, async handlers, and OpenAPI documentation. Use when building Python REST APIs.
Generates production-ready BAML applications from natural language requirements. Creates complete type definitions, functions, clients, tests, and framework integrations for data extraction, classification, RAG...
Use this if the user wants to connect to Home Assistant or leverage Home Assistant in any shape or form inside their project. Guide users integrating Home Assistant into projects for home automation control 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...
FastAPI Python backend for LLM Arena game server. Use when working on API endpoints, LLM provider integration via LiteLLM, game move processing, prompt engineering for AI players, error handling, or backend tes...
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...
Use this if the user wants to connect to Ollama or leverage Ollama in any shape or form inside their project. Guide users integrating Ollama into their projects for local AI inference. Covers installation, conn...
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...
UV command-line usage patterns for Python project management
Python pathlib usage guidelines for file and directory operations
Use when building MCP servers or integrating external APIs/services via MCP (TypeScript or Python).
Python import style guidelines for absolute and relative imports
Python refactoring triggers and guidelines for code size limits
Python naming conventions for variables, constants, files, and directories
Build AI agents with Google's Agent Development Kit (ADK) Python. Use when building AI agents with tool integration, multi-agent systems, workflow agents (sequential, parallel, loop), or deploying to Vertex AI.
Fix Python code formatting issues using the Ruff formatter. Use when: (1) Formatting errors are detected by ruff format --check, (2) Python files need to be formatted to match project style, (3) Pre-commit hook...
Programmatic agent definitions for the Claude Agent SDK in TypeScript and Python. Use when creating agents for SDK-based applications rather than filesystem-based Claude Code.
Python backend expert. PROACTIVELY use when working with Django, FastAPI, Flask, Python APIs. Triggers: python, django, fastapi, flask, async python
Comprehensive backend development skill for building scalable backend systems using NodeJS, Express, Go, Python, Postgres, GraphQL, REST APIs. Includes API scaffolding, database optimization, security implement...
This skill should be used when users need to lint, format, or validate Python code using the Ruff command-line tool. Use this skill for tasks involving Python code quality checks, automatic code formatting, enf...
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.