crewai-setup

Solid

CrewAI multi-agent orchestration setup for collaborative AI systems

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# 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

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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