# Agent Protocol

Defines how advisor agents call each other and run multi-role meetings.

- Repository: https://github.com/alirezarezvani/claude-skills (29114 stars)
- Category: AI and agents
- License: MIT
- Last updated: 2026-10-31
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add alirezarezvani/claude-skills --skill agent-protocol -g -a claude-code -y`
Codex: `npx skills add alirezarezvani/claude-skills --skill agent-protocol -g -a codex -y`
Cursor: `npx skills add alirezarezvani/claude-skills --skill agent-protocol -g -a cursor -y`
Gemini CLI: `npx skills add alirezarezvani/claude-skills --skill agent-protocol -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add alirezarezvani/claude-skills`

## Description

Use when C-suite advisor agents need to call each other or run a multi-role meeting. Defines invocation syntax, loop prevention, isolation and response formats.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Inter-Agent Protocol

How C-suite agents talk to each other. Rules that prevent chaos, loops, and circular reasoning.

## Keywords
agent protocol, inter-agent communication, agent invocation, agent orchestration, multi-agent, c-suite coordination, agent chain, loop prevention, agent isolation, board meeting protocol

## Invocation Syntax

Any agent can query another using:

```
[INVOKE:role|question]
```

**Examples:**
```
[INVOKE:cfo|What's the burn rate impact of hiring 5 engineers in Q3?]
[INVOKE:cto|Can we realistically ship this feature by end of quarter?]
[INVOKE:chro|What's our typical time-to-hire for senior engineers?]
[INVOKE:cro|What does our pipeline look like for the next 90 days?]
```

**Valid roles:** `ceo`, `cfo`, `cro`, `cmo`, `cpo`, `cto`, `chro`, `coo`, `ciso`, `gc`, `cdo`, `caio`, `cco`, `vpe`

| Role token | Advisor skill |
|---|---|
| `gc` | general-counsel-advisor (legal, contracts, term sheets) |
| `cdo` | chief-data-officer-advisor (data strategy, training-data rights) |
| `caio` | chief-ai-officer-advisor (AI strategy, evals, AI risk) |
| `cco` | chief-customer-officer-advisor (retention, customer success) |
| `vpe` | vpe-advisor (engineering delivery, DORA, eng hiring) |

## Response Format

Invoked agents respond using this structure:

```
[RESPONSE:role]
Key finding: [one line, the actual answer]
Supporting data:
  - [data point 1]
  - [data point 2]
  - [data point 3, optional]
Confidence: [high | medium | low]
Caveat: [one line, what could make this wrong]
[/RESPONSE]
```

**Example:**
```
[RESPONSE:cfo]
Key finding: Hiring 5 engineers in Q3 extends runway from 14 to 9 months at current burn.
Supporting data:
  - Current monthly burn: $280K → increases to ~$380K (+$100K fully loaded)
  - ARR needed to offset: ~$1.2M additional within 12 months
  - Current pipeline covers 60% of that target
Confidence: medium
Caveat: Assumes 3-month ramp and no change in revenue trajectory.
[/RESPONSE]
```

## Loop Prevention (Hard Rules)

The rest: https://github.com/alirezarezvani/claude-skills/blob/HEAD/c-level-advisor/skills/agent-protocol/SKILL.md