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sqlmodelsqlmodel 命令行

Agent Skill

sqlmodel 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

420

周安装

17

GitHub Stars

公开资料未说明

下载量

132
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:sqlmodel(sqlmodel 命令行)
来源仓库:https://github.com/salmanferozkhan/cloud-and-fast-api
仓库路径:skills/sqlmodel
安装命令:
npx skills add https://github.com/salmanferozkhan/cloud-and-fast-api --skill sqlmodel
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/salmanferozkhan/cloud-and-fast-api --skill sqlmodel

简介

用于处理 GitHub 仓库、Issue 和 Pull Request 等协作信息。

  • 适合在需要跟踪代码变更或分析任务状态时使用。
  • 通过命令行工具集成到开发流程中。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • 使用前应确认权限范围,避免触发不必要的网络请求。
  • sqlmodel 属于待分类类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

SQLModel Development Guide

SQLModel combines SQLAlchemy and Pydantic into a single library - one model class serves as both ORM model and Pydantic schema.

Quick Start

Installation

pip install sqlmodel

Minimal Example

from sqlmodel import Field, SQLModel, Session, create_engine, select

class Hero(SQLModel, table=True):
    id: int | None = Field(default=None, primary_key=True)
    name: str = Field(index=True)
    age: int | None = None

engine = create_engine("sqlite:///database.db")
SQLModel.metadata.create_all(engine)

# Create
with Session(engine) as session:
    hero = Hero(name="Spider-Boy", age=18)
    session.add(hero)
    session.commit()
    session.refresh(hero)

# Read
with Session(engine) as session:
    heroes = session.exec(select(Hero)).all()

Core Concepts

ConceptDescription
table=TrueMakes class a database table (without it, it's just Pydantic)
Field()Define column attributes: primary_key, index, unique, foreign_key
SessionDatabase session for CRUD operations
select()Type-safe query builder
RelationshipDefine relationships between models

Model Patterns

Base Model (API Schema Only)

class HeroBase(SQLModel):
    name: str
    age: int | None = None

Table Model (Database)

class Hero(HeroBase, table=True):
    id: int | None = Field(default=None, primary_key=True)

Request/Response Models

class HeroCreate(HeroBase):
    secret_name: str

class HeroPublic(HeroBase):
    id: int

class HeroUpdate(SQLModel):
    name: str | None = None
    age: int | None = None

CRUD Operations

Create

def create_hero(session: Session, hero: HeroCreate) -> Hero:
    db_hero = Hero.model_validate(hero)
    session.add(db_hero)
    session.commit()
    session.refresh(db_hero)
    return db_hero

Read

def get_hero(session: Session, hero_id: int) -> Hero | None:
    return session.get(Hero, hero_id)

def get_heroes(session: Session, skip: int = 0, limit: int = 100) -> list[Hero]:
    return session.exec(select(Hero).offset(skip).limit(limit)).all()

Update

def update_hero(session: Session, hero_id: int, hero_update: HeroUpdate) -> Hero | None:
    db_hero = session.get(Hero, hero_id)
    if not db_hero:
        return None
    hero_data = hero_update.model_dump(exclude_unset=True)
    db_hero.sqlmodel_update(hero_data)
    session.add(db_hero)
    session.commit()
    session.refresh(db_hero)
    return db_hero

Delete

def delete_hero(session: Session, hero_id: int) -> bool:
    hero = session.get(Hero, hero_id)
    if not hero:
        return False
    session.delete(hero)
    session.commit()
    return True

FastAPI Integration

Database Setup

from sqlmodel import SQLModel, Session, create_engine

DATABASE_URL = "sqlite:///./database.db"
engine = create_engine(DATABASE_URL, echo=True)

def create_db_and_tables():
    SQLModel.metadata.create_all(engine)

def get_session():
    with Session(engine) as session:
        yield session

Dependency Injection

from typing import Annotated
from fastapi import Depends

SessionDep = Annotated[Session, Depends(get_session)]

@app.post("/heroes/", response_model=HeroPublic)
def create_hero(hero: HeroCreate, session: SessionDep):
    db_hero = Hero.model_validate(hero)
    session.add(db_hero)
    session.commit()
    session.refresh(db_hero)
    return db_hero

Lifespan Events

from contextlib import asynccontextmanager
from fastapi import FastAPI

@asynccontextmanager
async def lifespan(app: FastAPI):
    create_db_and_tables()
    yield

app = FastAPI(lifespan=lifespan)

Reference Files

Load these based on the task at hand:

TopicFileWhen to Use
Modelsmodels.mdField options, validators, computed fields, inheritance, mixins
Relationshipsrelationships.mdOne-to-many, many-to-many, self-referential, lazy loading
Asyncasync.mdAsync sessions, async engine, background tasks
Migrationsmigrations.mdAlembic setup, auto-generation, migration patterns

Querying

Basic Queries

# All heroes
heroes = session.exec(select(Hero)).all()

# Single result (first or None)
hero = session.exec(select(Hero).where(Hero.name == "Spider-Boy")).first()

# Get by primary key
hero = session.get(Hero, 1)

Filtering

from sqlmodel import select, or_, and_

# Single condition
select(Hero).where(Hero.age >= 18)

# Multiple conditions (AND)
select(Hero).where(Hero.age >= 18, Hero.name == "Spider-Boy")

# OR conditions
select(Hero).where(or_(Hero.age < 18, Hero.age > 60))

# LIKE/contains
select(Hero).where(Hero.name.contains("Spider"))

Ordering and Pagination

select(Hero).order_by(Hero.name)
select(Hero).order_by(Hero.age.desc())
select(Hero).offset(10).limit(5)

Best Practices

  • Separate table models from API schemas - Use table=True only for actual DB tables
  • Use model_validate() for conversion - Convert between schemas and table models
  • Use sqlmodel_update() for partial updates - Pass exclude_unset=True to model_dump()
  • Always use Field() for constraints - Primary keys, indexes, foreign keys, defaults
  • Use Annotated dependencies - Clean, reusable session injection
  • Use lifespan for table creation - Not deprecated @app.on_event
  • Index frequently queried columns - Field(index=True)
  • Use echo=True during development - See generated SQL queries

Common Issues

IssueSolution
Missing table=TrueAdd table=True to models that need DB tables
Circular importsUse TYPE_CHECKING and string annotations for relationships
Session already closedEnsure session is still open when accessing lazy-loaded relationships
Migration not detecting changesUse compare_type=True in Alembic env.py

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.39%
按下载量换算47

Claude

30.61%
按下载量换算40

Cursor

20.99%
按下载量换算28

Gemini CLI

10.89%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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