Agent Skills: CrewAI Setup Skill

CrewAI multi-agent orchestration setup for collaborative AI systems

UncategorizedID: a5c-ai/babysitter/crewai-setup

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pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/plugins/babysitter/skills/babysit/process/specializations/ai-agents-conversational/skills/crewai-setup

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plugins/babysitter/skills/babysit/process/specializations/ai-agents-conversational/skills/crewai-setup/SKILL.md

Skill Metadata

Name
crewai-setup
Description
CrewAI multi-agent orchestration setup for collaborative AI systems

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