Babysitter crewai-setup
CrewAI multi-agent orchestration setup for collaborative AI systems
install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/ai-agents-conversational/skills/crewai-setup" ~/.claude/skills/a5c-ai-babysitter-crewai-setup && rm -rf "$T"
manifest:
library/specializations/ai-agents-conversational/skills/crewai-setup/SKILL.mdsource 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
- Agents: Define roles, goals, backstories, and tools
- Tasks: Specify descriptions, expected outputs, and assigned agents
- Crews: Orchestrate agents with process types
- 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