Ai Agents Architect
Designs and optimizes multi-agent systems, defining roles, communication protocols, and workflows for complex tasks.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add ai-agents-architect npx -- -y @trustedskills/ai-agents-architect
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"ai-agents-architect": {
"command": "npx",
"args": [
"-y",
"@trustedskills/ai-agents-architect"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The ai-agents-architect skill enables users to design, configure, and manage AI agent systems. It provides tools for structuring agent workflows, defining roles, and integrating with external services or APIs.
When to use it
- When setting up a multi-agent system for complex tasks like customer support or data analysis.
- To define the architecture of an AI agent before deployment.
- When you need to customize how agents communicate or share information.
- For managing dependencies between different AI components in a project.
Key capabilities
- Agent workflow design and configuration
- Role definition for multiple agents
- Integration with external APIs and services
- Dependency management between agents
Example prompts
- "Design an agent system for handling customer support tickets."
- "Configure an AI agent to fetch data from a public API."
- "Set up communication protocols between two agents in the same workflow."
Tips & gotchas
- Ensure all external APIs used are properly authenticated and secured.
- Start with simple configurations before scaling to complex multi-agent systems.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.