agent-protocol

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?".