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sub-agent-design

Design agent-based systems with responsibility allocation, communication contracts, and integration testing.

Updated May 7, 2026
Search Tags:#testing#workflow orchestration#design process#agent-based system#interface protocols
One-click install
npx skills add https://github.com/prototypdigital/claude-marketplace --skill sub-agent-design
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sub-agent-design
Source: https://github.com/prototypdigital/claude-marketplace/tree/main/llm/skills/sub-agent-design
Command: npx skills add https://github.com/prototypdigital/claude-marketplace --skill sub-agent-design

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill unit tackles the complexities of designing sub-agent systems in AI applications by structuring responsibilities, establishing communication contracts, orchestrating operations, and ensuring comprehensive integration testing.

Core Features & Use Cases

  • Define Agent Responsibilities: Outline clear responsibilities and scope for each sub-agent to simplify complex tasks.
  • Set Communication Contracts: Standardize the interfaces of each agent to ensure effective, reliable communication.
  • Implement Workflows: Build the architecture and wiring between sub-agents to achieve cohesive behavior.
  • Perform Integration Tests: Verify that sub-agents and their orchestration meet specifications across different scenarios.
  • Use Case: For developers who want to divide an agentic system into sub-agents with specialized tasks for efficient operation and testability.

Quick Start

Start the sub-agent-design skill by running: 'sub-agent-design' to initialize your design process.

Frequently Asked Questions about sub-agent-design

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

FAQPage Schema
How do I design sub-agent systems for AI applications?▼

To design sub-agent systems, you structure agent responsibilities, establish communication contracts, orchestrate workflows, and run integration tests using Python files under llm/agents/.

What is the best way to allocate responsibilities and define interfaces for agent-based systems?▼

The best way to define interfaces for agent-based systems is to standardize communication protocols and outline clear scopes for each sub-agent to ensure reliable interaction and modular task execution.

How do I test workflow orchestration across multiple sub-agents?▼

You test workflow orchestration by performing integration tests that verify sub-agents and their operations meet specifications across different scenarios using appropriate testing tools.

Do I need Python to implement modular agentic solutions?▼

Yes, implementing modular agentic solutions requires using Python files located under llm/agents/ to build the architecture and wire sub-agents together for cohesive behavior.

When should I divide an agentic system into specialized sub-agents?▼

You should divide an agentic system into specialized sub-agents when complex tasks require simplified, modular operations, efficient execution, and comprehensive testability across different scenarios.

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