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iii-ai-agents

Create and configure AI agents, RAG pipelines, and LLM workflows with iii-sdk or motia primitives.

Updated Aug 27, 2026
Search Tags:#llm#rag#ai agents#orchestration#chatbot#workflows
One-click install
npx skills add https://github.com/iii-hq/skills --skill iii-ai-agents
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: iii-ai-agents
Source: https://github.com/iii-hq/skills/tree/main/iii-ai-agents
Command: npx skills add https://github.com/iii-hq/skills --skill iii-ai-agents

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive toolkit for building sophisticated AI agents, RAG pipelines, and LLM-powered workflows, simplifying complex AI development.

Core Features & Use Cases

  • AI Agent Construction: Design and configure AI agents with features like ReAct reasoning, multi-agent orchestration, and tool use.
  • RAG Pipelines: Implement Retrieval-Augmented Generation for context-aware AI responses.
  • LLM Workflows: Orchestrate multi-step AI processes such as research, analysis, and summarization.
  • Use Case: Develop a customer support chatbot that can access a knowledge base, understand user queries, and provide detailed, contextually relevant answers.

Quick Start

Use the iii-ai-agents skill to create a simple AI API that takes a user message and returns a response from an LLM.

Frequently Asked Questions about iii-ai-agents

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

FAQPage Schema
How do I build AI agents with RAG pipelines and multi-agent orchestration?▼

You can build AI agents with RAG pipelines and multi-agent orchestration using iii-sdk or motia primitives. The skill supports ReAct reasoning loops, tool-use patterns, and conversation state management to configure agents and chatbots.

What's the best way to create multi-step LLM workflows for research and summarization?▼

The best way to create multi-step LLM workflows for research and summarization is using this skill's orchestration primitives. It enables the configuration of LLM-powered API endpoints and sequential processes for analysis and automated summarization.

Can I develop a customer support chatbot that accesses a knowledge base for context-aware responses?▼

Yes, you can develop a customer support chatbot that accesses a knowledge base. The skill implements Retrieval-Augmented Generation pipelines to process user queries and provide detailed, contextually relevant answers.

Does this skill support ReAct reasoning loops and tool-use patterns for agent configuration?▼

Yes, this skill supports ReAct reasoning loops and tool-use patterns for agent configuration. It enables AI agent construction with multi-agent orchestration and conversation state management using iii-sdk or motia primitives.

How do I create a simple AI API endpoint that takes a user message and returns an LLM response?▼

You can create a simple AI API endpoint that takes a user message and returns an LLM response using the skill's quick start functionality. It configures LLM-powered API endpoints using iii-sdk or motia primitives.

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