Sqlalchemy Orm
Skill Warning ActiveSQLAlchemy Python SQL toolkit and ORM with powerful query builder, relationship mapping, and database migrations via Alembic
To serve as a detailed reference and guide for developers using SQLAlchemy in Python applications, covering its ORM capabilities, query building, relationship mapping, and database migration strategies.
Features
- SQLAlchemy 2.0 modern API with type hints
- Declarative model definition and relationships
- Database engine and session configuration
- Advanced query patterns with joins and eager loading
- CRUD operations with examples
- Async SQLAlchemy setup and operations
- Alembic migration setup and usage
- FastAPI integration patterns
- Testing strategies with Pytest
- Performance optimization techniques
Use Cases
- Learning and implementing SQLAlchemy ORM in new Python projects.
- Refactoring existing applications to use modern SQLAlchemy 2.0 patterns.
- Setting up database migrations with Alembic for schema management.
- Integrating SQLAlchemy with web frameworks like FastAPI, Flask, or Django.
- Writing complex SQL queries and managing relationships effectively.
Non-Goals
- Providing a full-fledged ORM itself, but rather documenting how to use SQLAlchemy.
- Handling database administration tasks beyond schema migrations.
- Replacing specific database drivers (e.g., psycopg2), but documenting how to use them with SQLAlchemy.
Maintenance
- critical:Commit recencyThe last commit was on 2026-04-15, over 30 days ago, indicating potential unmaintenance given the current date of 2026-05-13.
Trust
- warning:Issues AttentionIn the last 90 days, 4 issues were opened and 0 were closed, indicating slow or no maintainer response to open issues.
Installation
npx skills add bobmatnyc/claude-mpm-skillsRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
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Pydantic Validation
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Senior Fullstack
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Python Best Practices
99Python/FastAPI coding standards including async patterns, Pydantic v2, SQLAlchemy 2.0, and project structure. Use when writing Python code, reviewing FastAPI projects, or learning FastAPI conventions.
Celery
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