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Agent Designer

Skill Verified Active

Use when the user asks to design multi-agent systems, create agent architectures, define agent communication patterns, or build autonomous agent workflows.

Purpose

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

  1. Define system requirements or tool descriptions.
  2. Use the Agent Planner or Tool Schema Generator to create design artifacts.
  3. Collect execution logs from an agent system.
  4. Run the Agent Evaluator on logs to analyze performance.
  5. 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-skills

Quality Score

Verified
99 /100
Analyzed about 18 hours ago

Trust Signals

Last commitabout 21 hours ago
Stars14.6k
LicenseMIT
Status
View Source

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