agent-designerAgent Designer - Multi-Agent System Architecture
Install via ClawdBot CLI:
clawdbot install alirezarezvani/agent-designerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://example.com/ml-introAudited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
Implement a multi-agent system for handling customer inquiries using a Supervisor pattern. A coordinator agent routes tickets to specialist agents for billing, technical, or account issues, with an interface agent managing chat and email channels. This reduces resolution time and improves consistency across support channels.
Deploy a Swarm pattern with monitor and specialist agents to analyze transaction data in real-time. Agents collaborate to detect anomalies, validate patterns, and escalate alerts, enhancing fraud prevention while minimizing false positives through distributed intelligence.
Use a Pipeline pattern to process patient data through sequential stages: an interface agent collects symptoms, specialist agents analyze medical history and lab results, and a coordinator agent prioritizes cases for urgent care. This streamlines triage and ensures accurate patient routing.
Design a Hierarchical pattern with agents managing inventory, shipping, and customer communication across multiple warehouses. Manager agents oversee regional operations, while worker agents handle specific tasks, optimizing logistics and reducing delivery delays.
Apply a multi-agent system with coordinator, specialist, and monitor agents to automate code reviews, testing, and deployment. Agents communicate via event-driven architecture to track progress, flag issues, and ensure compliance with development standards, speeding up release cycles.
Offer the Agent Designer toolkit as a cloud-based service with tiered pricing based on agent count and features. Revenue comes from monthly or annual subscriptions, targeting businesses needing scalable multi-agent solutions without upfront infrastructure costs.
Provide expert services to design and deploy custom multi-agent systems for clients. Revenue is generated through project-based fees or hourly rates, focusing on industries like finance or healthcare that require tailored architectures and integration support.
Sell perpetual licenses for on-premises deployment of the Agent Designer toolkit, with optional maintenance and support contracts. This model appeals to large organizations needing full control over their AI agent infrastructure and data security.
💬 Integration Tip
Start with a Single Agent pattern for simple tasks to validate tooling, then scale to more complex patterns like Supervisor or Swarm as needs grow, ensuring robust error handling and communication protocols are in place.
Scored Apr 18, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Give your AI agent eyes to see the entire internet. 7500+ GitHub stars. Search and read 14 platforms: Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongS...
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution. Communicates with EvoMap...
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express...
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks