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backend-architect

Design backend APIs, data models, and service architectures with endpoint contracts and auth rules.

1|Updated Mar 6, 2026
Search Tags:#security#api design#data modeling#system architecture#webhooks#integration patterns
One-click install
npx skills add https://github.com/kernex-dev/kernex-agent --skill backend-architect-kernex-dev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: backend-architect
Source: https://github.com/kernex-dev/kernex-agent/tree/main/deploy/skills/backend-architect
Command: npx skills add https://github.com/kernex-dev/kernex-agent --skill backend-architect-kernex-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converts high-level system requirements into concrete backend service and API designs by producing entity-first data models, endpoint contracts, auth rules, and documented tradeoffs so teams can implement reliably.

Core Features & Use Cases

  • Entity-first Data Modeling: Define entities, fields, relationships, and constraints before designing endpoints.
  • API and Security Design: Specify endpoints, methods, request/response shapes, and explicit authentication and authorization for every route.
  • Tradeoffs and Risk Assessment: Provide rationale, rejected alternatives, integration risks, and migration/backwards-compatibility guidance.
  • Use Case: Design webhook delivery systems, agent orchestration APIs, or backend services requiring robust retry, idempotency, and security guarantees.

Quick Start

Design a backend API and data model for a headless agent workflow that delivers webhooks, specifying entities, endpoints, auth rules, and the main tradeoffs.

Frequently Asked Questions about backend-architect

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

FAQPage Schema
How do I design production-ready APIs and data models for backend systems?▼

Design production-ready APIs by defining entity-first data models, specifying endpoint contracts, request and response shapes, and explicit authentication rules for every route. This structured specification ensures backend systems are implemented reliably.

What is entity-first data modeling and when do I need it for API design?▼

Entity-first data modeling defines entities, fields, relationships, and constraints before designing API endpoints. You need it when creating backend services to ensure schema definitions accurately support endpoint contracts and integration patterns.

How do I design a webhook delivery system with retry and idempotency guarantees?▼

Design a webhook delivery system by producing structured specifications that include endpoint contracts, authentication models, and integration patterns. The design provides documented tradeoffs and identifies integration risks to ensure robust retry and idempotency guarantees.

Can I use this approach to design authentication and security models for agent orchestration APIs?▼

Yes, you can design agent orchestration APIs by applying explicit authentication and authorization rules for every route. The resulting specification includes security models and endpoint contracts tailored for headless agent workflows.

What is the best way to document tradeoffs and integration risks for backend service architectures?▼

Document tradeoffs and integration risks by providing rationale, rejected alternatives, and migration and backwards-compatibility guidance alongside your endpoint contracts. This produces structured specifications that help teams implement backend services reliably.

Does this API design approach provide migration and backwards-compatibility guidance?▼

Yes, the API design approach provides migration and backwards-compatibility guidance as part of its structured specifications. It documents rejected alternatives and identifies integration risks to help teams implement backend systems reliably.

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