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agent_design_properties

Define agent properties including role, context, goals, constraints, and output format.

Updated Feb 24, 2026
Search Tags:#agent behavior#framework#agent design#role definition#ai properties
One-click install
npx skills add https://github.com/ulf1/mas-inquiry --skill agent-design-properties
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent_design_properties
Source: https://github.com/ulf1/mas-inquiry/tree/main/.agent/skills/agent_design_properties
Command: npx skills add https://github.com/ulf1/mas-inquiry --skill agent-design-properties

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured framework for defining the essential properties of an AI agent, ensuring consistency and clarity in agent design.

Core Features & Use Cases

  • Mandatory Properties: Enforces 10 core properties for all agent designs (Role, Context, Goals, Constraints, etc.).
  • Structured Design: Guides users through a comprehensive checklist for agent creation.
  • Use Case: A team lead needs to define a new AI assistant for customer support. They use this Skill to ensure the assistant has a clear role, defined capabilities, and specific performance goals before development begins.

Quick Start

Use the agent_design_properties skill to define the role and goals for a new AI agent.

Frequently Asked Questions about agent_design_properties

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

FAQPage Schema
What properties are required for comprehensive AI agent design?▼

AI agent design requires 10 core properties: role, identity, context, goals, constraints, tools, process, examples, termination conditions, and output format to ensure consistent agent creation.

How do I define agent roles and behaviors for a new AI assistant?▼

Define agent roles and behaviors using a structured framework enforcing mandatory properties like context, goals, and constraints, guiding you through a comprehensive checklist before development begins.

Can I use this framework to specify termination conditions and output formats for agents?▼

Yes, the framework facilitates structured agent design by explicitly outlining termination conditions and output formats as mandatory components, ensuring agents have complete specifications.

Does this agent design framework require any specific dependencies or components?▼

No, this agent design framework operates without dependencies or specific components, providing a basic implementation depth focusing purely on outlining mandatory specifications for agent creation.

What is the best way to ensure consistency when creating multiple AI agents?▼

Ensure consistency when creating multiple AI agents by enforcing a structured design framework with a comprehensive checklist of mandatory properties, ensuring all agents have complete specifications.

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