SQLAlchemy plugins

Centers Python backend development around async patterns, FastAPI, Django, and modern tooling, providing architectural guidance, testing strategies with pytest, and production best practices for scalable APIs and services.

Look up Python code examples and enforce Pythonic style — fetch syntax, concurrency, ML, and HPC references from pythonsheets.com while writing, debugging, or optimizing code, and get linting guidance for readable, idiomatic Python.

Accelerate and improve DataHub connector development and metadata management with skills for planning connectors, reviewing code against golden standards, enriching metadata, tracing lineage, managing data quality, searching the catalog, setting up environments, and scaffolding micro frontends.

Enforce Python code quality with a verified-issue workflow: review FastAPI routing, SQLAlchemy database patterns, PostgreSQL queries, pytest tests, and general Python type safety, using parallel linters (ruff, mypy) and multi-step verification to eliminate false positives.

Guides Python application development with FastAPI, SQLAlchemy, and Temporal patterns, plus TypeScript support for Drizzle, Fastify, and Vitest. Includes architecture guidance, stub-driven TDD, automated code review, commit conventions, and documentation generation.

Build modern Python web apps with Django and FastAPI, define SQLAlchemy models and Alembic migrations, write pytest tests, debug errors, and review code quality using specialized agents that orchestrate database tasks and full codebase reviews.

Reverse-engineer any codebase into structured, verifiable documentation organized by layers (API, database, domain, frontend, infrastructure). Enables rebuilding the codebase in a new target stack while preserving contracts and business rules, guided by a knowledge graph and interactive dashboard.

Summon Python specialists to scaffold production Django/FastAPI projects with uv/Docker/PostgreSQL, enforce Mypy/PEP8/security reviews, audit codebases for multi-agent parallelization, implement Celery tasks/WebSockets, and generate pytest strategies—all using 2025 patterns and official docs.

Apply opinionated, first-party patterns across the entire Litestar development lifecycle—from API design and data access to deployment and testing—including a code review agent that enforces canonical patterns.

Scaffold a production-ready FastAPI backend using async/await patterns, Mem0 for AI memory persistence, SQLAlchemy ORM with PostgreSQL database, and built-in deployment configurations.

Scaffold FastAPI projects with Clean Architecture (three-layer separation: routers, operations, database), enforce 22+ design rules via scanning, detect coupling/god classes/code smells, refactor toward Protocol-based DI and Pythonic patterns, generate stub-based tests, and learn design principles interactively.