crewai-setup
CrewAI multi-agent orchestration setup for collaborative AI systems
npx skills add a5c-ai/babysitter --skill crewai-setup --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- Capabilities
- Target Processes
- Implementation Details
- Core Components
- Process Types
- Configuration Options
- Best Practices
- Dependencies
What does the crewai-setup skill do?
CrewAI multi-agent orchestration setup for collaborative AI systems
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill crewai-setup --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.