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name: crewai-setup description: CrewAI multi-agent orchestration setup for collaborative AI systems allowed-tools:

• Read
• Write
• Edit
• Bash
• Glob
• Grep graph: domains: [domain:software-engineering] specializations: [specialization:ai-agents-conversational] skillAreas: [skill-area:multi-agent-coordination, skill-area:agentic-loops] roles: [role:ml-engineer, role:backend-engineer] workflows: [workflow:feature-development, workflow:ml-model-lifecycle] topics: [topic:design-patterns]

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CrewAI Setup Skill

Capabilities

• Configure CrewAI agents with roles and goals
• Define tasks and expected outputs
• Set up crew orchestration patterns
• Implement agent collaboration workflows
• Configure memory and knowledge sharing
• Design hierarchical agent structures

Target Processes

• multi-agent-system
• plan-and-execute-agent

Implementation Details

Core Components

1. Agents: Define roles, goals, backstories, and tools
2. Tasks: Specify descriptions, expected outputs, and assigned agents
3. Crews: Orchestrate agents with process types
4. Tools: Custom tool integration for agents

Process Types

• Sequential: Linear task execution
• Hierarchical: Manager-led coordination
• Consensus: Agent voting and agreement

Configuration Options

• LLM selection per agent
• Tool assignment
• Memory configuration
• Delegation settings
• Verbose/debug modes

Best Practices

• Clear role definitions
• Appropriate task granularity
• Proper tool assignment
• Monitor agent interactions
• Handle failures gracefully

Dependencies

• crewai
• crewai-tools