ai-agent-development

name	ai-agent-development
description	AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.
type	skill
created	2026-02-27T00:00:00.000Z
domain	ai-ml
category	llm-agents
risk	safe
source	personal
tags	["skill","ai-ml","llm-agents","agent"]

AI Agent Development Workflow

Overview

Specialized workflow for building AI agents including single autonomous agents, multi-agent systems, agent orchestration, tool integration, and human-in-the-loop patterns.

When to Use This Workflow

Use this workflow when:

• Building autonomous AI agents
• Creating multi-agent systems
• Implementing agent orchestration
• Adding tool integration to agents
• Setting up agent memory

Workflow Phases

Phase 1: Agent Design

Skills to Invoke

• ai-agents-architect - Agent architecture
• autonomous-agents - Autonomous patterns

Actions

1. Define agent purpose
2. Design agent capabilities
3. Plan tool integration
4. Design memory system
5. Define success metrics

Copy-Paste Prompts

Use @ai-agents-architect to design AI agent architecture

Phase 2: Single Agent Implementation

Skills to Invoke

• autonomous-agent-patterns - Agent patterns
• autonomous-agents - Autonomous agents

Actions

1. Choose agent framework
2. Implement agent logic
3. Add tool integration
4. Configure memory
5. Test agent behavior

Copy-Paste Prompts

Use @autonomous-agent-patterns to implement single agent

Phase 3: Multi-Agent System

Skills to Invoke

• crewai - CrewAI framework
• multi-agent-patterns - Multi-agent patterns

Actions

1. Define agent roles
2. Set up agent communication
3. Configure orchestration
4. Implement task delegation
5. Test coordination

Copy-Paste Prompts

Use @crewai to build multi-agent system with roles

Phase 4: Agent Orchestration

Skills to Invoke

• langgraph - LangGraph orchestration
• workflow-orchestration-patterns - Orchestration

Actions

1. Design workflow graph