Python Backend

Production async Python patterns that actually matter: TaskGroup over gather() for structured concurrency, FastAPI dependency injection the right way, and SQLAlchemy 2.0 async sessions with proper pooling. The anti-patterns section alone is worth it, calling out real bugs like sharing AsyncSession across tasks and swallowing CancelledError. Covers the essentials from asyncio.timeout() context managers to connection pool sizing formulas. Use this when you're building FastAPI services and want to avoid the common async footguns that lead to race conditions and event loop blocking. Assumes Python 3.11+ and modern library versions.

skills.sh installs: 249
GitHub stars: 301
last updated: Aug 21, 2026

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Install

$ npx -y skills add yonatangross/orchestkit --skill python-backend --agent claude-code

Installs into .claude/skills of the current project.

Files

Python Backend

Patterns for building production Python backends with asyncio, FastAPI, SQLAlchemy 2.0, and connection pooling. Each category has individual rule files in rules/ loaded on-demand.

Quick Reference

Category	Rules	Impact	When to Use
Asyncio	3	HIGH	TaskGroup, structured concurrency, cancellation handling
FastAPI	3	HIGH	Dependencies, middleware, background tasks
SQLAlchemy	3	HIGH	Async sessions, relationships, migrations
Pooling	3	MEDIUM	Database pools, HTTP sessions, tuning

Total: 12 rules across 4 categories. House decisions rescued from thinned files live in references/ork-delta.md; vendor material is linked, not restated (see Upstream coverage).