Sqlalchemy Orm
This skill provides an SQLAlchemy ORM for seamless database interaction, simplifying data modeling and querying in Python applications.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add sqlalchemy-orm npx -- -y @trustedskills/sqlalchemy-orm
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"sqlalchemy-orm": {
"command": "npx",
"args": [
"-y",
"@trustedskills/sqlalchemy-orm"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The sqlalchemy-orm skill enables AI agents to interact with relational databases using SQLAlchemy's Object-Relational Mapping (ORM) capabilities. It allows users to define database models as Python classes, perform CRUD operations, and manage complex queries in a more intuitive and Pythonic way.
When to use it
- You need to create or modify database schemas using Python classes instead of raw SQL.
- Your application requires efficient querying and relationship management between tables.
- You want to abstract database interactions for easier maintenance and scalability.
Key capabilities
- Define database models with Python classes
- Perform Create, Read, Update, Delete (CRUD) operations
- Manage relationships between database tables
- Execute complex SQL queries using a high-level API
Example prompts
- "Create a SQLAlchemy model for a User table with fields id, name, and email."
- "Query all users from the database where the email domain is 'example.com'."
- "Update the name of a user with id 5 to 'John Doe' using ORM."
Tips & gotchas
- Ensure you have SQLAlchemy installed and configured properly before using this skill.
- Be mindful of performance implications when using ORM for very large datasets or complex joins.
Tags
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