titan

Guide RESTful API design with microservices and Domain-Driven Design principles.

5|Updated Feb 4, 2026

Search Tags:#architecture #api design #backend #microservices #rest #ddd #graphql

Ready to run

npx skills add https://github.com/Rikinshah787/clawarmy --skill titan-rikinshah787

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: titan
Source: https://github.com/Rikinshah787/clawarmy/tree/main/.cursor/skills/titan
Command: npx skills add https://github.com/Rikinshah787/clawarmy --skill titan-rikinshah787

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive guide and best practices for designing, building, and maintaining robust, scalable, and reliable backend systems, focusing on API design and Domain-Driven Design principles.

Core Features & Use Cases

API Design Standards: Enforces RESTful principles, versioning, and consistent response formats.
Domain-Driven Design: Guides implementation of layered architecture and domain logic.
Error Handling & Pagination: Provides patterns for clear error responses and efficient data retrieval.
Use Case: A developer needs to design a new microservice API. They can consult this Skill for best practices on resource naming, HTTP methods, response structures, and error codes to ensure consistency and maintainability.

Quick Start

Use the titan skill to design a RESTful API endpoint for managing user profiles.

Frequently Asked Questions about titan

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

FAQPage Schema

What is the best way to design a RESTful API for a new microservice?▼

Domain-Driven Design guides microservice development by implementing a layered architecture that isolates domain logic. This pattern ensures business rules remain independent of infrastructure, resulting in robust and maintainable backend systems.

How do I handle pagination and error responses in a backend API?▼

To handle pagination and errors in a backend API, apply specific pagination strategies for efficient data retrieval and use standardized result types for clear error responses. These patterns prevent clients from breaking during data overflow or failures.

When should I use GraphQL instead of REST for backend architecture?▼

Consider GraphQL instead of REST when clients need flexible, precise data fetching without multiple roundtrips. However, REST remains highly effective for standardized resource design, especially when enforcing strict API versioning and consistent response formats.

What are common API design anti-patterns that break microservices?▼

Common API design anti-patterns that break microservices include improper resource naming, ignoring API versioning, inconsistent response formats, and lacking rate limiting. Avoiding these pitfalls is necessary to build indestructible and scalable backend systems.

Does this architectural guidance apply to both new and existing backend systems?▼

Yes, this architectural guidance applies to both new and existing backend systems by providing principles for RESTful design, layered architecture, and repository patterns. These standards help refactor existing services and establish baselines for new ones.