multi-agent-evaluate

Community

Evaluate Multi-Agent Systems with Precision and Detail

AuthorAesopScott
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the complex challenge of evaluating multi-agent systems post M8 Experience Design, ensuring they meet system-level performance and functionality criteria.

Core Features & Use Cases

  • System-Level Evaluation: Analyzes a multi-agent system for participant contracts, coordination, orchestration, shared capabilities, user journeys, approvals, guardrails, observability, and release gates.
  • Proof and Release Gates: Validates the system's readiness for release by testing coordination, state handling, user experience, and release criteria.
  • Data Analysis: Gathers and evaluates data for happy-path, exception, approval, refusal, memory, tool, latency, cost, accessibility, and recovery scenarios.

Quick Start

Run the multi-agent-evaluate skill with the command: /multi-agent-evaluate

Dependency Matrix

Required Modules

maps_memory.py

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: multi-agent-evaluate
Download link: https://github.com/AesopScott/central/archive/main.zip#multi-agent-evaluate

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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