courierflow-api

Enforce service-layer ownership, async-first I/O, and exception-to-HTTP mapping in Python web APIs.

2|Updated Feb 17, 2026

Search Tags:#best practices #web development #api #error handling #python #async

Ready to run

npx skills add https://github.com/sumrae412/claude-skills --skill courierflow-api

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: courierflow-api
Source: https://github.com/sumrae412/claude-skills/tree/main/courierflow-api
Command: npx skills add https://github.com/sumrae412/claude-skills --skill courierflow-api

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a comprehensive guide to best practices for building robust and maintainable APIs, focusing on routing, service layers, error handling, and asynchronous operations.

Core Features & Use Cases

Service Layer Ownership: Enforces business logic within services, keeping routes lean.
Async-First Design: Promotes efficient I/O operations using async/await and httpx.AsyncClient.
Standardized Error Handling: Defines clear mappings between domain exceptions and HTTP responses.
RORO Pattern: Encourages the use of Pydantic models for structured request and response handling.
Use Case: When developing new API endpoints or refactoring existing ones, consult this Skill for guidance on structuring code, handling errors gracefully, and implementing efficient asynchronous patterns.

Quick Start

Use the courierflow-api skill to understand how to handle NotFoundError exceptions in API routes.

Frequently Asked Questions about courierflow-api

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

FAQPage Schema

What is the best way to structure Python API routes and business logic?▼

The best way to structure Python API routes is by enforcing service layer ownership, keeping routes lean while placing business logic within dedicated services. This approach ensures maintainable API development patterns and clean separation of concerns.

How do I handle domain exceptions and map them to HTTP responses in Python APIs?▼

To handle domain exceptions in Python APIs, implement standardized exception-to-HTTP response mapping. This defines clear mappings between specific domain exceptions like NotFoundError and their corresponding HTTP responses for graceful API error handling.

How do I implement async API operations in Python web frameworks?▼

To implement async API operations in Python web frameworks, adopt an async-first design using `async`/`await` syntax and `httpx.AsyncClient`. This promotes efficient I/O operations for backend development tasks and database interactions.

How do I standardize API request and response handling in Python?▼

To standardize API request and response handling in Python, apply the RORO pattern using Pydantic models. This encourages structured request and response handling, ensuring consistent data validation across API endpoints.

When do I need a service layer in API development?▼

You need a service layer in API development when you want to enforce business logic ownership and keep routing components lean. This pattern is essential for building robust and maintainable APIs, especially when refactoring existing endpoints.