agent-collaboration-protocol

Coordinate multi-agent collaboration on API-model platforms without native Agent Teams.

2|Updated Feb 12, 2026
One-click install
npx skills add https://github.com/hiyenwong/ai_collection --skill agent-collaboration-protocol
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-collaboration-protocol
Source: https://github.com/hiyenwong/ai_collection/tree/main/collection/skills/agent-collaboration-protocol
Command: npx skills add https://github.com/hiyenwong/ai_collection --skill agent-collaboration-protocol

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

在没有原生 Agent Teams 功能的模型上实现多智能体协作的规则框架,提升协作效率与结果可靠性。

Core Features & Use Cases

  • 支持角色分工、竞争验证、流水线和层级四种协作模式,适用于需要并行分析、分步处理的任务。
  • 提供明确的任务分解、通信协议和错误处理机制,确保跨代理的一致性和可追溯性。
  • 使用场景示例:在缺乏专用协作模块的平台上,采用本框架实现多代理协同完成复杂推理或决策任务。

Quick Start

Provide a task description and trigger the protocol with a role-based configuration to start multi-agent collaboration.

Frequently Asked Questions about agent-collaboration-protocol

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

FAQPage Schema
How do I orchestrate multi-agent collaboration on API models without native Agent Teams?

Multi-agent collaboration on platforms like Kimi, DeepSeek, and Yi requires a rule framework for task decomposition, communication protocols, and error handling. You can trigger it by providing a task description with a role-based configuration.

What collaboration patterns are available for multi-agent coordination on standard API platforms?

Available collaboration patterns include role division, competitive validation, pipeline, and hierarchy. These patterns enable parallel analysis and sequential processing for complex reasoning and decision tasks.

Does this multi-agent orchestration framework work with Kimi, DeepSeek, and Yi API platforms?

Yes, the framework supports Kimi, DeepSeek, MiniMax, 百川, and Yi. It provides orchestration across agents for API-model platforms that lack dedicated native collaboration modules.

How do you handle errors and ensure consensus in multi-agent systems?

Error handling and consensus mechanisms ensure cross-agent consistency and traceability. These built-in protocol features guarantee robust outcomes during complex multi-agent reasoning and decision tasks.

When do I need a rule framework for multi-agent work?

A rule framework is needed when operating models without native Agent Teams functionality. It enables clear task decomposition, role division, and cross-agent coordination for complex reasoning and decision tasks.