Build production database layers with SQLAlchemy ORM and PostgreSQL. This skill should be used when teaching students to define data models, manage sessions, perform CRUD operations, and connect to PostgreSQL/Neon databases.
Quickly install building-with-sqlalchemy-orm AI skill to your development environment via command line
Source: panaversity/agentfactory.
Build production-grade database applications with SQLAlchemy ORM 2.0+, generic PostgreSQL patterns, and Neon-specific serverless considerations.
| Codebase | Existing models, database setup, connection patterns | | Conversation | Student's specific use case (what they're building), constraints | | Skill References | Domain patterns from references/ (API docs, best practices, architecture) | | User Guidelines | Project conventions, proficiency level |
Only ask student for THEIR requirements (domain expertise is embedded in this skill).
Build production database layers with SQLAlchemy ORM and PostgreSQL. This skill should be used when teaching students to define data models, manage sessions, perform CRUD operations, and connect to PostgreSQL/Neon databases. Source: panaversity/agentfactory.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/panaversity/agentfactory --skill building-with-sqlalchemy-ormBuild production database layers with SQLAlchemy ORM and PostgreSQL. This skill should be used when teaching students to define data models, manage sessions, perform CRUD operations, and connect to PostgreSQL/Neon databases. Source: panaversity/agentfactory.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/panaversity/agentfactory --skill building-with-sqlalchemy-orm Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/panaversity/agentfactory