Skip to content
TrustedSkillsbeta
Back to all skills

Building With Sqlalchemy Orm

Listed
panaversity·vlatest·database

Generates SQLAlchemy ORM code for database interactions based on schema descriptions, streamlining data access.

Repository

Install on your platform

This skill no longer installs under the name building-with-sqlalchemy-orm. panaversity/agentfactory is deleted or private, so it cannot be installed from.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

panaversity

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. repository not found or private Source recorded as panaversity/agentfactory.
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill generates SQLAlchemy ORM code for database interactions, enabling AI agents to build production-grade applications using PostgreSQL and Neon (a serverless Postgres platform). It focuses on creating database models as Python classes, implementing CRUD operations with transactions, managing relationships between tables, and querying data. The skill leverages established patterns and considers Neon's specific serverless architecture like autoscaling and scale-to-zero capabilities.

When to use it

  • Building database models (defining tables as Python classes) based on requirements.
  • Implementing CRUD (Create, Read, Update, Delete) operations safely within transactions.
  • Managing relationships between database tables using foreign keys and joins.
  • Querying data with filters, ordering, and complex join operations.
  • Connecting to PostgreSQL or Neon databases with proper configuration.
  • Teaching database fundamentals to beginners learning persistence concepts.

Key capabilities

  • Generates SQLAlchemy ORM code based on provided requirements.
  • Supports PostgreSQL and Neon serverless database platforms.
  • Implements models as Python classes (ORM abstraction).
  • Manages transactions using sessions for data consistency.
  • Defines relationships between tables using foreign keys.
  • Provides guidance on proper connection pooling and transaction handling.

Example prompts

  • "Generate a SQLAlchemy model for an 'Order' table with columns for order_id, customer_id, and total_amount."
  • "Show me how to implement a session to create a new expense record in the database."
  • “Create a relationship between the ‘Category’ and ‘Expense’ tables.”

Tips & gotchas

  • The skill requires providing specific requirements for the desired database models. The agent will not ask for domain expertise; that is embedded within the skill itself.
  • Familiarity with basic Python concepts is helpful to understand the generated code.
  • Consider Neon-specific serverless features when designing your application, as this skill incorporates those considerations.