Overview
- Skill Key
- alirezarezvani/cs-agent-protocol
- Author
- alirezarezvani
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/alirezarezvani/cs-agent-protocol
- Latest Commit SHA
- 35ef75cd0ae8630383a77e169c3111c7e86ee644
Inter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats. Use when C-suite agents need to query each other, coordinate cross-functional analysis, or run board meetings with multiple agent roles.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 agent-protocol 技能。 若已安装,则直接安装 agent-protocol 技能。
# 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` ## 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) These rules are enforced unconditionally. No exceptions. ### Rule 1: No Self-Invocation An agent cannot invoke itself. ``` ❌ CFO → [INVOKE:cfo|...] — BLOCKED ``` ### Rule 2: Maximum Depth = 2 Chains can go A→B→C. The third hop is blocked. ``` ✅ CRO → CFO → COO (depth 2) ❌ CRO → CFO → COO → CHRO (depth 3 — BLOCKED) ``` ### Rule 3: No Circular Calls If agent A called agent B, agent B cannot call agent A in the same chain. ```...
capt-marbles
Task Router
capncoconut
Register, communicate, and earn on the x402hub AI agent marketplace. Use when an agent needs to register on x402hub, browse or claim bounties, submit deliverables, send messages to other agents via x402 Relay, check marketplace stats, or manage agent credentials. Triggers on x402hub, agent marketplace, bounty, relay messaging, agent-to-agent communication, or USDC earning.
capevace
Real-time event bus for AI agents. Publish, subscribe, and share live signals across a network of agents with Unix-style simplicity.
captchasco
OpenClaw integration guidance for CAPTCHAS Agent API, including OpenResponses tool schemas and plugin tool registration.
carol-gutianle
name: modelready description: Start using a local or Hugging Face model instantly, directly from chat. metadata: {"openclaw":{"requires":{"bins": "bash", "curl" }, "env": "URL" }}
canbirlik
Controls Wiz smart bulbs (turn on/off, RGB colors, disco mode) via local WiFi.