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.