sqlalchemy-2-async
SQLAlchemy 2.0 async patterns with AsyncSession, async_sessionmaker, and FastAPI integration. Use when implementing async database operations, connection pooling, or async ORM queries.
按技能名称、说明或 GitHub 作者匹配的结果。
SQLAlchemy 2.0 async patterns with AsyncSession, async_sessionmaker, and FastAPI integration. Use when implementing async database operations, connection pooling, or async ORM queries.
Design and implement database schemas using SQLModel with sync and async patterns. Use this skill when creating database models, setting up Neon PostgreSQL connections, defining relationships (one-to-many, many...
Configure Alembic for async SQLAlchemy migrations with PostgreSQL
Configure Alembic for async SQLAlchemy migrations with PostgreSQL
Async SQLAlchemy 2.0+ database patterns for FastAPI including session management, connection pooling, Alembic migrations, relationship loading strategies, and query optimization. Use when implementing database...
Design and implement production-grade database layers using SQLModel with SQLAlchemy 2.0 patterns. This skill should be used when users need to create database models, configure engines/sessions, design schemas...
Expert guidance for SQLModel - the Python library combining SQLAlchemy and Pydantic for database models. Use when (1) creating database models that work as both SQLAlchemy ORM and Pydantic schemas, (2) building...
Generate comprehensive database schemas with proper relations, migrations, and ORM/ODM models for PostgreSQL, MongoDB, and SQLite. Use when creating database schemas that integrate with FastAPI applications, in...
Production-ready SQLModel patterns for FastAPI applications. This skill should be used when creating database models, writing queries, managing sessions, setting up relationships, configuring connection pools,...
Comprehensive SQLModel skill for Python database operations with SQL databases. Use when working with SQLModel for (1) Designing database models and table schemas, (2) Creating relationships between tables (for...
Build FastAPI applications with SQLModel ORM and NEON serverless PostgreSQL. This skill should be used when creating database models, setting up NEON connections, building CRUD endpoints, defining relationships...
SQLModel - Pydantic + SQLAlchemy combined. This skill should be used when building FastAPI apps with database, creating ORM models, data validation with database persistence, or any Python project needing both...
SQLModel ORM skill for Python database operations. Use when defining database models, creating tables, managing sessions, writing CRUD operations, or integrating with FastAPI. Triggers include "create model", "...
Comprehensive SQLModel development assistance including model creation, relationship handling, database operations, and integration with FastAPI. Use when Claude needs to work with SQLModel projects for: (1) Cr...
Turn the model into a SQLAlchemy-focused Python coding agent for designing models, writing queries, debugging database issues, and integrating SQLAlchemy with Alembic and FastAPI in new or existing Python proje...
This skill should be used when the user asks to "convert asyncpg to SQLAlchemy", "convert database queries", "migrate asyncpg code", "transform asyncpg patterns to SQLAlchemy", or "update FastAPI database layer...
This skill should be used when the user asks to "detect asyncpg usage", "find asyncpg patterns", "scan for asyncpg imports", or "identify asyncpg database code in FastAPI projects". It automatically scans Pytho...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。