Agent Protocol: Stop C-Suite Agents Talking in Circles

Where this fits

You're running a multi-agent system where a CEO agent needs cost and feasibility input before committing to a roadmap. Without a common protocol, each C-suite agent answers in its own format, re-invokes colleagues, and loops on the same assumptions. This skill gives your agents a shared invocation syntax and response contract, so orchestration stays predictable.

Why agents benefit

• Any agent can query another with [INVOKE:role|question], removing prompt hacks and ambiguity.
• Loop prevention rules stop agents from re-invoking the same role or recycling prior conclusions as new analysis.
• Isolation rules keep each agent's reasoning independent, so one bad estimate doesn't silently become everyone's premise.
• Standardized response formats make cross-functional output parseable for the orchestrator or board meeting summarizer.
• Board meeting protocol turns multiple agent roles into participants with clear turn-taking and decision capture.

Practical scenarios

Cross-functional feasibility check

Before a CEO agent proposes a new product deadline, it invokes CTO for build feasibility and CFO for burn-rate impact. Each responds with a structured assessment, and the CEO agent synthesizes a single recommendation instead of guessing.

Board meeting with multiple agent roles

An orchestrator agent runs a monthly board meeting, invoking CRO, CHRO, and CTO in sequence. Responses follow the same format, making it easy to generate minutes, flag disagreements, and archive decisions.

Breaking echo-chamber planning

A CTO estimates a four-week delivery; a CFO's cost model then assumes that estimate is final. Isolation rules force the CFO agent to query the CTO explicitly for assumptions, preventing circular reasoning and unfounded compounding.

Add it to your agent workflow

Install the skill:

npx skills add alirezarezvani/claude-skills --skill agent-protocol

Then make the protocol part of your agent instructions or system prompt:

[INVOKE:cfo|What's the burn rate impact of hiring 5 engineers in Q3?]

Each target agent knows to reply using the defined response format, and the caller can aggregate results without custom parsing.

Compare before adopting

Before making it a standard part of your stack, compare on these dimensions:

• Quality signals: The 25k-star repository has real usage signals, but check the README and issues yourself for clarity and governance examples.
• Maintenance freshness: The skill metadata is versioned and updated; verify the last commit and maintainer responsiveness.
• Alternatives: If your agents all run inside one framework with native tool calling, this protocol may be redundant; evaluate for cross-boundary scenarios.
• Workflow fit: Does your orchestration layer need role-based communication, or is a simple pipeline enough? Adopt only when the problem is inter-agent coordination.

Why it is worth tracking

This protocol fills a real gap in multi-agent orchestration: how C-suite agents talk to each other without chaos. With 25k stars and an active-looking skill entry, it's worth tracking even if you don't adopt immediately. For a maintained comparison against similar orchestration skills, see the OpenAgentSkill listing. Test it in a sandbox with two agents and a loop-filled task; if it holds up, add it to your production workflow.