aidd-service

Create asynchronous data services with unidirectional data flow and Observe patterns.

377|33|Updated Jul 3, 2025
One-click install
npx skills add https://github.com/paralleldrive/aidd --skill aidd-service
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aidd-service
Source: https://github.com/paralleldrive/aidd/tree/main/ai/skills/aidd-service
Command: npx skills add https://github.com/paralleldrive/aidd --skill aidd-service

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the challenge of writing maintainable and secure asynchronous data services, providing a framework for consistent service interfaces and unidirectional data flow.

Core Features & Use Cases

  • Unidirectional Data Flow: Implements a pattern where data flows downwards via Observe and actions flow upwards as void calls.
  • Service Interface Separation: Allows service interfaces to be portable and inspectable, facilitating easy swapping across process boundaries.
  • Use Case: For creating front-end or back-end data services, defining service interfaces, and implementing Observe patterns in the service layer.

Quick Start

Use the aidd-service skill to define a new asynchronous data service.

Frequently Asked Questions about aidd-service

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

FAQPage Schema
What is unidirectional data flow in asynchronous services?

Unidirectional data flow in asynchronous services pushes data downwards via Observe patterns while actions flow upwards as void calls, ensuring maintainable and secure service interfaces across process boundaries.

How do I create a maintainable asynchronous data service?

To create a maintainable asynchronous data service, apply a specific folder structure and namespace conventions to separate service interfaces, making them portable and inspectable across boundaries.

Does this service architecture framework support both front-end and back-end services?

Yes, this service architecture framework supports both front-end and back-end development, allowing you to define portable service interfaces and implement Observe patterns across the service layer.

What's the best way to separate service interfaces for asynchronous data flow?

The best way to separate service interfaces for asynchronous data flow is to enforce unidirectional design and namespace conventions, allowing interfaces to be easily swapped across process boundaries.

Why does defining an Observe pattern require specific folder structures?

Defining an Observe pattern requires specific folder structures to enforce unidirectional design and namespace conventions, which guarantees the service interface remains portable, inspectable, and maintainable.