AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.
Installation
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.
category
granular-workflow-bundle
risk
safe
source
personal
date_added
2026-02-27
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
Define agent purpose
Design agent capabilities
Plan tool integration
Design memory system
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
Choose agent framework
Implement agent logic
Add tool integration
Configure memory
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
Define agent roles
Set up agent communication
Configure orchestration
Implement task delegation
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
Design workflow graph
Implement state management
Add conditional branches
Configure persistence
Test workflows
Copy-Paste Prompts
Use @langgraph to create stateful agent workflows
Phase 5: Tool Integration
Skills to Invoke
agent-tool-builder - Tool building
tool-design - Tool design
Actions
Identify tool needs
Design tool interfaces
Implement tools
Add error handling
Test tool usage
Copy-Paste Prompts
Use @agent-tool-builder to create agent tools
Phase 6: Memory Systems
Skills to Invoke
agent-memory-systems - Memory architecture
conversation-memory - Conversation memory
Actions
Design memory structure
Implement short-term memory
Set up long-term memory
Add entity memory
Test memory retrieval
Copy-Paste Prompts
Use @agent-memory-systems to implement agent memory
Phase 7: Evaluation
Skills to Invoke
agent-evaluation - Agent evaluation
evaluation - AI evaluation
Actions
Define evaluation criteria
Create test scenarios
Measure agent performance
Test edge cases
Iterate improvements
Copy-Paste Prompts
Use @agent-evaluation to evaluate agent performance
