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agent-protocol

Define structured inter-agent communication with invocation syntax and loop prevention.

2|Updated Mar 13, 2026
Search Tags:#agent orchestration#multi-agent systems#loop prevention#agent protocol#inter-agent communication#c-suite simulation
One-click install
npx skills add https://github.com/zhangzhang-111-i/claude-skills111 --skill agent-protocol
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-protocol
Source: https://github.com/zhangzhang-111-i/claude-skills111/tree/main/c-level-advisor/agent-protocol
Command: npx skills add https://github.com/zhangzhang-111-i/claude-skills111 --skill agent-protocol

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a robust framework for inter-agent communication, ensuring that AI agents can collaborate effectively, avoid conflicts, and execute complex tasks in a coordinated manner, especially within a C-suite simulation.

Core Features & Use Cases

  • Structured Invocation: Defines a clear syntax [INVOKE:role|question] for agents to query each other.
  • Response Formatting: Standardizes agent replies with key findings, supporting data, confidence levels, and caveats.
  • Loop Prevention: Implements strict rules against self-invocation, circular calls, and excessive chain depth.
  • Isolation Rules: Manages communication during different phases of analysis (e.g., independent analysis, critique).
  • Conflict Resolution: Provides a clear process for surfacing and resolving conflicting information between agents.
  • Use Case: When simulating a board meeting, the CEO agent can use this protocol to query the CFO about financial impact, the CTO about technical feasibility, and the CRO about market projections, ensuring a cohesive and well-informed decision-making process.

Quick Start

Use the agent-protocol skill to invoke the CFO with the question "What's the burn rate impact of hiring 5 engineers in Q3?".

Frequently Asked Questions about agent-protocol

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

FAQPage Schema
How do I structure inter-agent communication for multi-agent systems?▼

Inter-agent communication is structured using a clear invocation syntax like [INVOKE:role|question] to query other agents, standardizing replies with key findings, supporting data, confidence levels, and caveats.

What is the best way to prevent circular calls in multi-agent orchestration?▼

Loop prevention in multi-agent orchestration is enforced through strict rules against self-invocation, circular calls, and excessive chain depth, ensuring reliable agent collaboration and preventing infinite loops.

How do I simulate a C-suite executive team for coordinated decision-making?▼

C-suite simulation is achieved by using a defined agent protocol that allows a CEO agent to query specialized roles like CFO or CTO, facilitating coordinated analysis and well-informed executive decisions.

How does conflict resolution work in multi-agent systems during analysis phases?▼

Conflict resolution in multi-agent systems works by providing a clear process for surfacing and resolving conflicting information between agents, enforcing isolation rules during independent analysis and critique phases.

Can I use this agent protocol for independent analysis and critique phases?▼

Yes, the agent protocol manages communication during different phases of analysis through strict isolation rules, ensuring agents perform independent analysis and critique without unwanted interference.

What are the limitations of using a structured agent protocol for coordination?▼

Limitations of structured agent protocols include constraints on self-invocation and chain depth to prevent loops, which may restrict highly dynamic or unstructured inter-agent interactions in complex scenarios.

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