Agent Manager Skill
Davila7's agent-manager-skill orchestrates multiple AI agents to achieve complex goals through task delegation and progress monitoring.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add agent-manager-skill npx -- -y @trustedskills/agent-manager-skill
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"agent-manager-skill": {
"command": "npx",
"args": [
"-y",
"@trustedskills/agent-manager-skill"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The agent-manager-skill enables users to efficiently manage multiple AI agents, including creating, configuring, and monitoring their performance. It provides tools for organizing workflows, assigning tasks dynamically, and tracking the status of each agent in real time.
When to use it
- Managing a team of AI agents working on different parts of a complex project.
- Automating repetitive tasks across multiple agents with centralized control.
- Monitoring agent performance and adjusting configurations on the fly.
- Scaling operations by dynamically adding or removing agents as needed.
Key capabilities
- Create and configure multiple AI agents in one interface.
- Assign and prioritize tasks across agents.
- Monitor real-time status and logs of each agent.
- Scale agent numbers based on workload demands.
Example prompts
- "Assign the data analysis task to Agent 3 and track its progress."
- "Scale up the number of agents handling customer support requests."
- "Show me a summary of all active agents and their current status."
Tips & gotchas
- Ensure your system meets the minimum resource requirements for running multiple agents simultaneously.
- Use clear task definitions to avoid conflicts when assigning work across agents.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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