skills.rest
Gami19
Gami19COMMUNITY
Explore all skills by this author →
GitHub

ai-agents

Design AI agent architectures using the Five Pillars framework.

Updated Apr 8, 2026
Search Tags:#design#planning#architecture#ai#agents#safety#memory
One-click install
npx skills add https://github.com/Gami19/rd-strands-agents --skill ai-agents-gami19
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-agents
Source: https://github.com/Gami19/rd-strands-agents/tree/main/strands-py/backend/agent/skills/pr/ai-agents
Command: npx skills add https://github.com/Gami19/rd-strands-agents --skill ai-agents-gami19

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

AI Agent design is a structured approach to guiding the creation of autonomous, multi-agent systems. This skill helps engineers apply the Five Pillars framework to define roles, tools, knowledge, reasoning, and planning with safety and guardrails, producing clear, sharable architecture artifacts.

Core Features & Use Cases

  • Framework-driven design: establish Profile, Actions & Tools, Knowledge & Memory, Reasoning & Evaluation, and Planning & Feedback.
  • Architecture pattern guidance: select among Single Agent, Proxy Agent, Controller-Workers, Group Chat, Agentic Behavior Tree, and Platform/ Nexus style platforms.
  • Guardrails, planning, memory, and evaluation strategies: ensure safe operation, predictable behavior, and measurable quality.
  • Use cases include early-stage architecture planning, production-system design, research assistance, and training in multi-agent design.

Quick Start

Provide a high-level AI-agent design plan using Five Pillars for a generic business automation use-case.

Frequently Asked Questions about ai-agents

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

FAQPage Schema
How do I design a multi-agent system architecture for software engineering?▼

Design a multi-agent system architecture using the Five Pillars framework to define roles, tools, memory, reasoning, and planning with guardrails, producing a sharable design document.

What is the Five Pillars framework for AI agent design?▼

The Five Pillars framework structures AI agent design around Profile, Actions & Tools, Knowledge & Memory, Reasoning & Evaluation, and Planning & Feedback to ensure safe and predictable behavior.

How do I add safety guardrails to autonomous AI agents?▼

Add safety guardrails to autonomous AI agents by defining planning strategies, memory models, and evaluation controls within the Reasoning & Evaluation pillar to ensure safe tool usage.

Which architecture pattern should I choose for my multi-agent system?▼

Select from Single Agent, Proxy Agent, Controller-Workers, Group Chat, Agentic Behavior Tree, or Platform/Nexus patterns based on your specific autonomy and multi-agent coordination requirements.

Can I use this framework to plan memory models for research agents?▼

Yes, you can use the Knowledge & Memory pillar to establish memory models and knowledge retrieval strategies specifically tailored for research assistance and product development agents.

What are the limitations of using a single agent architecture versus a controller-workers pattern?▼

A single agent architecture handles isolated tasks, while the controller-workers pattern manages complex workflows by distributing actions across multiple specialized worker agents.

Related Skills

Explore More Software Engineering Skills→
HechaoYannetHechaoYannet

create-architecture

Generate a master architecture document from GDDs, ADRs, and governance constraints.

Community
Advanced
DhumitechDhumitech

ai-agents-architect

Design autonomous AI agent architectures for production systems.

Community
Advanced
arbazkhan971arbazkhan971
26

agent

Design and validate autonomous AI agents with tool orchestration and guardrails.

Community
Advanced
Ikram-AlamIkram-Alam

multi-agent-patterns

Design multi-agent architectures with coordination protocols and failure handling.

Community
Advanced