Agent Designer
Skill Verified ActiveUse when the user asks to design multi-agent systems, create agent architectures, define agent communication patterns, or build autonomous agent workflows.
Design, architect, and evaluate multi-agent systems using structured patterns, tool design principles, and performance frameworks.
Features
- Agent architecture pattern selection
- Agent role definition framework
- Tool schema generation for AI models
- System performance evaluation and reporting
- Communication and memory pattern design
Use Cases
- Designing complex multi-agent systems
- Creating structured tool definitions for AI agents
- Evaluating the performance of existing agent systems
- Defining communication protocols between agents
Non-Goals
- Executing multi-agent systems
- Directly interacting with external APIs beyond tool definitions
- Providing AI models themselves
Workflow
- Define system requirements or tool descriptions.
- Use the Agent Planner or Tool Schema Generator to create design artifacts.
- Collect execution logs from an agent system.
- Run the Agent Evaluator on logs to analyze performance.
- Iterate on design based on evaluation findings.
Practices
- System design
- Tool design
- Performance evaluation
- Agent architecture
Prerequisites
- Python 3.8+
- Sample JSON files for input (examples provided)
Code Execution
- info:LoggingThe execution logs capture detailed information about tool calls, parameters, results, and errors, providing a good audit trail for review.
Installation
First, add the marketplace
/plugin marketplace add alirezarezvani/claude-skills/plugin install engineering@claude-code-skillsQuality Score
VerifiedTrust Signals
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