Crewai Multi Agent
Orchestrates complex tasks by dynamically assigning roles to multiple CrewAI agents for collaborative problem solving.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add crewai-multi-agent npx -- -y @trustedskills/crewai-multi-agent
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"crewai-multi-agent": {
"command": "npx",
"args": [
"-y",
"@trustedskills/crewai-multi-agent"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The crewai-multi-agent skill enables the creation and management of multi-agent systems, allowing AI agents to collaborate on complex tasks. It supports defining roles, assigning tasks, and facilitating communication between agents in a structured workflow.
When to use it
- To automate workflows that require multiple specialized AI agents working together (e.g., research, content generation).
- For projects requiring task delegation across different agent roles (e.g., data analysis, report writing, and decision-making).
- When building scalable AI systems where individual agents can handle specific subtasks efficiently.
Key capabilities
- Multi-agent collaboration framework
- Role-based agent assignment
- Task delegation and coordination
- Structured communication between agents
Example prompts
- "Create a multi-agent system with roles for researcher, writer, and editor to generate a detailed report."
- "Assign the task of analyzing customer feedback to an AI agent and then delegate summarization to another."
- "Set up a team of agents to handle data collection, analysis, and visualization in one workflow."
Tips & gotchas
- Ensure all agents are properly configured with clear roles and responsibilities for optimal performance.
- Monitor communication between agents to avoid conflicts or redundant processing.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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