Swarm
Swarm orchestrates multiple agents to tackle complex tasks simultaneously, boosting efficiency and accelerating project completion.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add swarm npx -- -y @trustedskills/swarm
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"swarm": {
"command": "npx",
"args": [
"-y",
"@trustedskills/swarm"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The swarm skill enables AI agents to coordinate and collaborate with multiple sub-agents in parallel, allowing for complex task decomposition and distributed problem-solving. It supports dynamic agent creation, role assignment, and real-time communication between agents to achieve a shared goal.
When to use it
- When solving tasks that require parallel processing or division of labor across different domains.
- For projects involving large-scale data analysis where multiple specialized agents can work simultaneously.
- In scenarios requiring adaptive workflows, such as customer support systems with tiered agent responses.
- To manage complex decision-making processes by delegating sub-tasks to specialized agents.
Key capabilities
- Parallel execution of tasks using a swarm of AI agents
- Dynamic creation and management of sub-agents based on task requirements
- Role-based assignment for efficient collaboration
- Real-time communication and coordination between agents
Example prompts
- "Create a swarm of agents to analyze customer feedback from multiple sources and summarize key themes."
- "Assign roles to a group of agents to design, test, and deploy a web application in parallel."
- "Use a swarm approach to solve a complex math problem by breaking it into smaller sub-problems."
Tips & gotchas
- Ensure all sub-agents are properly initialized with clear objectives to avoid redundant or conflicting work.
- Monitor resource usage when scaling up the number of agents, as performance may degrade with excessive parallelism.
Tags
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