skills.rest
cheetah-alo
cheetah-aloCOMMUNITY
Explore all skills by this author →
Website𝕏@techieesp_GitHub

backend-service

Design backend service patterns with separated business logic and typed function signatures.

Updated May 17, 2026
Search Tags:#input validation#python#backend#observability#structured errors#service architecture#api boundaries
One-click install
npx skills add https://github.com/cheetah-alo/NegritaOS --skill backend-service-cheetah-alo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: backend-service
Source: https://github.com/cheetah-alo/NegritaOS/tree/main/.codex/skills/backend-service
Command: npx skills add https://github.com/cheetah-alo/NegritaOS --skill backend-service-cheetah-alo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

backend-service helps you design backend services that keep responsibilities clean, inputs validated, errors consistent, and behavior observable so production systems stay maintainable.

Core Features & Use Cases

  • Service-boundary business logic: Places core business logic in services instead of controllers/routes to reduce coupling and regression risk.
  • Boundary input validation: Validates inputs at the request/message/job boundary to catch bad data early and prevent hidden failures.
  • Structured errors and stable API mapping: Produces structured errors (code + message + details) and maps internal failures to stable external responses for predictable clients.
  • Observability via correlation IDs: Adds request and correlation IDs and logs at boundaries while avoiding secret leakage.

Quick Start

Use the backend-service skill to define a Python-first service structure with controllers that delegate to typed service functions, validate inputs at the boundary, and return stable structured errors with correlation IDs for a new worker or API module.

Frequently Asked Questions about backend-service

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

FAQPage Schema
How do I separate business logic from controllers in a Python backend service?▼

To separate business logic in a backend service, you place core processing in service functions instead of controllers, having routes delegate to typed public functions to reduce coupling and regression risk.

What is the best way to validate API boundary inputs in backend services?▼

Validating API boundary inputs involves checking data at the request, message, or job boundary to catch bad data early, preventing hidden failures before the data reaches internal business logic.

How do I structure consistent API error responses for predictable clients?▼

You can structure consistent API error responses by mapping internal failures to stable external responses using structured errors containing a code, message, and details for predictable client handling.

How does observability with correlation IDs work in backend services?▼

Observability with correlation IDs works by adding request and correlation IDs at boundaries and logging them to trace workflows, while ensuring secret leakage is avoided during log generation.

Can I use this backend service pattern for job and message handling workflows?▼

Yes, the backend service pattern applies to building workers, data access layers, and job or message handling workflows by defining clear service boundaries and typed function signatures.

Related Skills

Explore More Software Engineering Skills→
JoyanLabsJoyanLabs

nestjs

Structure NestJS applications with hexagonal architecture and CQRS patterns.

Official
Advanced
ginkidaginkida
20

openapi-expert

Design, validate, and generate code from OpenAPI 3.x specifications.

Community
Advanced
kmshihab7878kmshihab7878
6

structured-logging

Configure JSON logging with correlation IDs for Python services.

Community
Intermediate
TylerLeonhardtTylerLeonhardt

greenroom-db

Automate Drizzle ORM schema definitions and Postgres migration workflows.

Community
Advanced