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python-database-patterns

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项目 README

来源文件:README.md

抓取于 2026年8月31日

Skill Store — Marketplace Repository

This is the open-source content repository behind Skill Store. It stores every approved Agent Skill, the records that go with it, and the automated security audits published with each skill.

This repo is a companion to the Skill Store platform, not the place to submit skills. Skills are added through skillstore.io — its review pipeline writes to this repo automatically. Please do not open a pull request here to add a skill; PRs adding skills will be closed. See Contributing a skill below.

Installing a skill

The recommended way to install any skill is the skillstore CLI — one command works for both Claude Code and Codex:

npx skillstore add author/skill-name

For example:

npx skillstore add aiskillstore/code-review

It downloads the skill and drops it into the right skills/ directory for your tool. Claude Code auto-discovers it; for Codex, restart the session.

Prefer to do it by hand, or installing via Claude Web? See the full Installation Guides for every method (CLI, manual, and ZIP upload) and the scope directories (~/.agents/skills/, .claude/skills/, ~/.claude/skills/, .codex/skills/, …).

Contributing a skill

Submit through the platform — not through a pull request:

  1. Go to skillstore.io/submit.
  2. Enter the GitHub repository URL that contains your SKILL.md.
  3. Your submission runs through automated security analysis.
  4. A maintainer reviews and approves it.
  5. On approval, the skill is published here and appears on skillstore.io.

What makes a valid skill

  • SKILL.md — the skill definition (required, per the Agent Skills spec)
  • Supporting files the skill references (optional)
  • LICENSE (recommended)

Security audit

Every submission is scanned automatically before it can be published. The audit flags things like:

  • Dangerous code patterns (eval, exec, raw system commands)
  • File access outside the project scope
  • Network calls to external hosts
  • Obfuscated or minified code
  • Credential / secret handling

Security analysis is report-only: findings inform maintainers and users, but a risk result does not automatically block an otherwise approved skill from being published. See our Security Trust Center for the methodology, limitations, and risk-level definitions.

Live Security Passport example:

Skillstore security

Repository layout

.
├── skills/        # Approved, published skills (one folder each, with SKILL.md)
├── pending/       # Submissions awaiting review
├── packages/
│   ├── cli/       # The `skillstore` CLI (npx skillstore add …)
│   └── skillstore/
├── schemas/       # JSON schemas for skill records
├── scripts/       # Maintenance & scoring scripts
└── .github/workflows/   # Submission, audit, and sync automation

The contents of this repo are maintained by Skill Store's automated pipeline. Manual changes are limited to maintainers.

Links

License

The marketplace catalog is MIT-licensed. Individual skills carry their own licenses — check each skill's LICENSE file.

其他

低风险

  • 来源需自行核对维护者身份。
  • 包含脚本或命令调用,安装前请复核。
  • 未检测到明显外部权限要求。
  • 未检测到高风险命令。
  • 扫描发现:0 条。

Codex — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/aiskillstore/marketplace.git
  3. 将 "skills/0xdarkmatter/python-database-patterns" 文件夹复制到 Codex 的 skills 目录中。
  4. 重启 Codex 让新的 skill 生效。

Codex — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Codex 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Codex 让新的 skill 生效。

Claude Code — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/aiskillstore/marketplace.git
  3. 将 "skills/0xdarkmatter/python-database-patterns" 文件夹复制到 Claude Code 的 skills 目录中。
  4. 重启 Claude Code 让新的 skill 生效。

Claude Code — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Claude Code 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Claude Code 让新的 skill 生效。

Cursor — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/aiskillstore/marketplace.git
  3. 将 "skills/0xdarkmatter/python-database-patterns" 文件夹复制到 Cursor 的 skills 目录中。
  4. 重启 Cursor 让新的 skill 生效。

Cursor — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Cursor 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Cursor 让新的 skill 生效。

GitHub Copilot — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/aiskillstore/marketplace.git
  3. 将 "skills/0xdarkmatter/python-database-patterns" 文件夹复制到 GitHub Copilot 的 skills 目录中。
  4. 重启 GitHub Copilot 让新的 skill 生效。

GitHub Copilot — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 GitHub Copilot 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 GitHub Copilot 让新的 skill 生效。

Windsurf — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/aiskillstore/marketplace.git
  3. 将 "skills/0xdarkmatter/python-database-patterns" 文件夹复制到 Windsurf 的 skills 目录中。
  4. 重启 Windsurf 让新的 skill 生效。

Windsurf — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Windsurf 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
name: python-database-patterns
description: "SQLAlchemy and database patterns for Python. Triggers on: sqlalchemy, database, orm, migration, alembic, async database, connection pool, repository pattern, unit of work."
compatibility: "SQLAlchemy 2.0+, Python 3.10+. Async requires asyncpg (PostgreSQL) or aiosqlite."
allowed-tools: "Read Write Bash"
depends-on: [python-typing-patterns, python-async-patterns]
related-skills: [python-fastapi-patterns]

Python Database Patterns

SQLAlchemy 2.0 and database best practices.

SQLAlchemy 2.0 Basics

from sqlalchemy import create_engine, select
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column, Session

class Base(DeclarativeBase):
    pass

class User(Base):
    __tablename__ = "users"

    id: Mapped[int] = mapped_column(primary_key=True)
    name: Mapped[str] = mapped_column(String(100))
    email: Mapped[str] = mapped_column(String(255), unique=True)
    is_active: Mapped[bool] = mapped_column(default=True)

# Create engine and tables
engine = create_engine("postgresql://user:pass@localhost/db")
Base.metadata.create_all(engine)

# Query with 2.0 style
with Session(engine) as session:
    stmt = select(User).where(User.is_active == True)
    users = session.execute(stmt).scalars().all()

Async SQLAlchemy

from sqlalchemy.ext.asyncio import (
    AsyncSession,
    async_sessionmaker,
    create_async_engine,
)
from sqlalchemy import select

# Async engine
engine = create_async_engine(
    "postgresql+asyncpg://user:pass@localhost/db",
    echo=False,
    pool_size=5,
    max_overflow=10,
)

# Session factory
async_session = async_sessionmaker(engine, expire_on_commit=False)

# Usage
async with async_session() as session:
    result = await session.execute(select(User).where(User.id == 1))
    user = result.scalar_one_or_none()

Model Relationships

from sqlalchemy import ForeignKey
from sqlalchemy.orm import relationship, Mapped, mapped_column

class User(Base):
    __tablename__ = "users"

    id: Mapped[int] = mapped_column(primary_key=True)
    name: Mapped[str]

    # One-to-many
    posts: Mapped[list["Post"]] = relationship(back_populates="author")

class Post(Base):
    __tablename__ = "posts"

    id: Mapped[int] = mapped_column(primary_key=True)
    title: Mapped[str]
    author_id: Mapped[int] = mapped_column(ForeignKey("users.id"))

    # Many-to-one
    author: Mapped["User"] = relationship(back_populates="posts")

Common Query Patterns

from sqlalchemy import select, and_, or_, func

# Basic select
stmt = select(User).where(User.is_active == True)

# Multiple conditions
stmt = select(User).where(
    and_(
        User.is_active == True,
        User.age >= 18
    )
)

# OR conditions
stmt = select(User).where(
    or_(User.role == "admin", User.role == "moderator")
)

# Ordering and limiting
stmt = select(User).order_by(User.created_at.desc()).limit(10)

# Aggregates
stmt = select(func.count(User.id)).where(User.is_active == True)

# Joins
stmt = select(User, Post).join(Post, User.id == Post.author_id)

# Eager loading
from sqlalchemy.orm import selectinload
stmt = select(User).options(selectinload(User.posts))

FastAPI Integration

from fastapi import Depends, FastAPI
from sqlalchemy.ext.asyncio import AsyncSession
from typing import Annotated

async def get_db() -> AsyncGenerator[AsyncSession, None]:
    async with async_session() as session:
        yield session

DB = Annotated[AsyncSession, Depends(get_db)]

@app.get("/users/{user_id}")
async def get_user(user_id: int, db: DB):
    result = await db.execute(select(User).where(User.id == user_id))
    user = result.scalar_one_or_none()
    if not user:
        raise HTTPException(status_code=404)
    return user

Quick Reference

OperationSQLAlchemy 2.0 Style
Select allselect(User)
Filter.where(User.id == 1)
First.scalar_one_or_none()
All.scalars().all()
Countselect(func.count(User.id))
Join.join(Post)
Eager load.options(selectinload(User.posts))

Additional Resources

  • ./references/sqlalchemy-async.md - Async patterns, session management
  • ./references/connection-pooling.md - Pool configuration, health checks
  • ./references/transactions.md - Transaction patterns, isolation levels
  • ./references/migrations.md - Alembic setup, migration strategies

Assets

  • ./assets/alembic.ini.template - Alembic configuration template

See Also

Prerequisites:

  • python-typing-patterns - Mapped types and annotations
  • python-async-patterns - Async database sessions

Related Skills:

  • python-fastapi-patterns - Dependency injection for DB sessions
  • python-pytest-patterns - Database fixtures and testing

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