python-service-skeleton

Standardize FastAPI service startup and shutdown with async context managers.

1|Updated Jun 20, 2026
One-click install
npx skills add https://github.com/shafibabar/SDLC-Artifact-Factory --skill python-service-skeleton
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-service-skeleton
Source: https://github.com/shafibabar/SDLC-Artifact-Factory/tree/main/skills/python-service-skeleton
Command: npx skills add https://github.com/shafibabar/SDLC-Artifact-Factory --skill python-service-skeleton

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the inconsistency and fragility in backend service startup and shutdown sequences, ensuring that configuration, dependency injection, and graceful termination are handled reliably and predictably.

Core Features & Use Cases

  • Lifespan Management: Implements a robust async context manager for ordered startup and reverse-ordered teardown.
  • Graceful Shutdown: Integrates with uvicorn to ensure connections are drained and resources are closed without data loss.
  • Use Case: Use this to bootstrap a new FastAPI microservice that requires strict dependency ordering, such as initializing a database pool before starting a message consumer.

Quick Start

Use the python-service-skeleton skill to generate a main.py and config.py that follow the standard lifespan and app factory patterns.

Frequently Asked Questions about python-service-skeleton

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement graceful shutdown in a FastAPI service?

Graceful shutdown in a FastAPI service is implemented using an async context manager for ordered startup and reverse-ordered teardown, ensuring connections are drained and resources are closed without data loss when termination signals are received.

What is a composition root in FastAPI and why is it needed?

A composition root in FastAPI standardizes dependency injection and configuration initialization. It is needed to solve inconsistency and fragility in backend services by ensuring deterministic startup sequences and predictable resource management.

How do I manage the lifespan and startup sequence of a FastAPI microservice?

Manage the lifespan and startup sequence of a FastAPI microservice by applying an async context manager that enforces strict dependency ordering, such as initializing a database pool before starting a message consumer.

Does this FastAPI skeleton support Kubernetes readiness and liveness health checks?

Yes, this FastAPI skeleton supports Kubernetes-native readiness and liveness health checks, applying fail-fast configuration principles to ensure robust lifecycle management and deterministic service behavior within container orchestration environments.

What is the best way to ensure deterministic teardown and resource cleanup in FastAPI?

The best way to ensure deterministic teardown in FastAPI is to use a standardized lifespan pattern that executes reverse-ordered teardown, guaranteeing that application resources are closed predictably during shutdown sequences.