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This is the open-source content repository behind
用 Codex 或 Claude 安装复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它先审查 Skill 页面再帮你安装。
复制前请先查看来源、License 和安全提示。
来源文件:README.md
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.
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/, …).
Submit through the platform — not through a pull request:
SKILL.md.SKILL.md — the skill definition (required, per the Agent Skills spec)LICENSE (recommended)Every submission is scanned automatically before it can be published. The audit flags things like:
eval, exec, raw system commands)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:
.
├── 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.
The marketplace catalog is MIT-licensed. Individual skills carry their own licenses — check each skill's LICENSE file.
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]SQLAlchemy 2.0 and database best practices.
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()
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()
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")
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))
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
| Operation | SQLAlchemy 2.0 Style |
|---|---|
| Select all | select(User) |
| Filter | .where(User.id == 1) |
| First | .scalar_one_or_none() |
| All | .scalars().all() |
| Count | select(func.count(User.id)) |
| Join | .join(Post) |
| Eager load | .options(selectinload(User.posts)) |
./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/alembic.ini.template - Alembic configuration templatePrerequisites:
python-typing-patterns - Mapped types and annotationspython-async-patterns - Async database sessionsRelated Skills:
python-fastapi-patterns - Dependency injection for DB sessionspython-pytest-patterns - Database fixtures and testing
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