Team Topology Analysis

Analyzes agent graph topology for safe handoffs and parallel work in Codex multi-agent systems.

54|16|Updated Feb 2, 2026

Search Tags:#parallel processing #codex #multi-agent systems #bottleneck analysis #handoffs #agent topology

Ready to run

npx skills add https://github.com/chemistrywow31/A-Team --skill team-topology-analysis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Team Topology Analysis
Source: https://github.com/chemistrywow31/A-Team/tree/main/.agents/skills/team-topology-analysis
Command: npx skills add https://github.com/chemistrywow31/A-Team --skill team-topology-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill evaluates proposed agent team structures to ensure they support safe communication and efficient parallel processing, preventing bottlenecks and over-coordination.

Core Features & Use Cases

Topology Pattern Identification: Recognizes common patterns like Pipeline, Hub and Spoke, and Hybrid.
Codex Multi-Agent Considerations: Provides guidelines for parallel agent execution, coordinator responsibilities, and synchronization points.
Quality Checkpoints: Verifies agent connectivity, coordinator load, dependency cycles, and file ownership for parallel tasks.
Use Case: A team designer proposes a structure where multiple agents need to modify the same API schema. This skill would flag the conflict and suggest a single owner with others accessing read-only or going through a coordinator.

Quick Start

Use the Team Topology Analysis skill to evaluate the proposed agent graph for potential conflicts and bottlenecks.

Frequently Asked Questions about Team Topology Analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I analyze multi-agent system topology for safe handoffs and parallel processing?▼

Analyzing multi-agent system topology involves evaluating agent graph connectivity, coordinator load, and dependency cycles to ensure safe handoffs. This process identifies pipeline, hub-and-spoke, and hybrid patterns to prevent parallel execution bottlenecks and over-coordination.

What is a dependency cycle in Codex multi-agent systems and how do I identify it?▼

A dependency cycle in Codex multi-agent systems is a circular wait state between agents that blocks parallel work. You identify it by validating agent graph topology, specifically mapping synchronization points and coordinator responsibilities to detect circular task routing.

How do I prevent file ownership conflicts when running parallel agents?▼

To prevent file ownership conflicts during parallel agent execution, assign a single owner to shared resources like API schemas. Other agents must access read-only or route modifications through a coordinator, which topology analysis validates as a quality checkpoint.

Can I use topology analysis to check coordinator load in a hub-and-spoke agent pattern?▼

Yes, topology analysis can check coordinator load in a hub-and-spoke agent pattern. It evaluates the agent graph to validate that the central coordinator is not overburdened, ensuring efficient parallel work and preventing synchronization bottlenecks.

When do I need to evaluate agent graph topology for my proposed team structure?▼

You need to evaluate agent graph topology when designing a proposed team structure to ensure it supports safe communication. This evaluation is necessary before parallel execution to identify potential conflicts, validate connectivity, and prevent over-coordination.

What are the limitations of using pipeline patterns for multi-agent parallel execution?▼

The limitation of using pipeline patterns for multi-agent parallel execution is the risk of bottlenecks at sequential synchronization points. Topology analysis identifies these constraints by validating agent connectivity and dependency cycles to ensure efficient work distribution.