Python Backend Pack
Curated bundle of essential Python backend development skills.
by 4444j99 · MIT
The skill
Curated bundle of essential Python backend development skills. Includes FastAPI patterns, packaging, database migrations, CLI design, and Redis caching. Use when building Python API services or backend systems.
Python Backend Pack
A curated bundle of essential skills for building Python backend services — from project structure through API, database, caching, and CLI.
What's Included
- fastapi-patterns — Production FastAPI applications with async patterns, dependency injection, and Pydantic models
- python-packaging-patterns — Project structure, pyproject.toml, dependency management, and distribution
- database-migration-patterns — Safe schema evolution with Alembic, zero-downtime strategies, and rollback
- cli-tool-design — Command-line interfaces with Typer/Click, subcommands, and shell completion
- redis-patterns — Caching, pub/sub messaging, rate limiting, and distributed locks
Getting Started
Install this bundle when starting a Python backend project. The recommended sequence:
- Structure: Use python-packaging-patterns to set up pyproject.toml and project layout
- API: Use fastapi-patterns for async API endpoints with Pydantic validation
- Database: Use database-migration-patterns for schema management with Alembic
- Caching: Use redis-patterns for caching and rate limiting layers
- CLI: Use cli-tool-design for management commands and operational tooling
This pack covers the core Python backend stack used across ORGAN-III (commerce), ORGAN-IV (orchestration), and META-ORGANVM.
Use this skill
Connect your agent to the Skill Store MCP server and ask for it by ref: 4444j99/python-backend-pack-70851938965.
Details
- Publisher
- 4444j99
- Category
- Software Development › APIs & backend
- License
- MIT
- Updated
- 2026-10-17
References
More from 4444j99
- Accessibility Patterns Build inclusive web experiences following WCAG guidelines.
- Agent Development Pack Curated bundle for building, testing, and coordinating AI agent systems.
- Agent Swarm Orchestrator Designs multi-agent systems with coordinated agent swarms, task distribution, inter-agent communi…
- Agent Testing Patterns Test AI agent systems including tool use, multi-turn conversations, error recovery, and non-deter…