agent-comm-protocolStandard protocol for reliable task dispatch, status reporting, and result feedback with confirmation, retry, and logging between agents.
Install via ClawdBot CLI:
clawdbot install nancliu/agent-comm-protocolGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Apr 16, 2026
A support team uses the protocol to assign tickets from a lead agent to specialists, ensuring tasks are acknowledged and tracked. Specialists send status updates for long-running issues and final resolutions, with automatic retries if responses timeout. This streamlines handling of customer inquiries across distributed teams.
A project manager (牧者) distributes coding tasks to developer agents, who confirm receipt and provide progress reports. The protocol logs all communications, helping track deadlines and identify bottlenecks like missed confirmations or delays, improving coordination in agile workflows.
Nurses (assistants) report patient status updates to a central coordinator (牧者) using structured messages. The confirmation and retry mechanisms ensure critical alerts, such as abnormal vital signs, are reliably received, reducing response times in hospital settings.
A dispatch center assigns delivery routes to driver agents, who confirm tasks and send progress reports. Timeout handling prevents missed instructions, and logs track all communications for auditing delivery timelines and handling exceptions like route changes.
Offer the protocol as a cloud-based service for businesses to integrate into their agent systems. Charge monthly fees based on the number of agents or message volume, with premium tiers for advanced logging and customization. This provides recurring revenue from enterprises needing reliable communication.
Provide consulting services to help companies implement the protocol into existing workflows, such as customer support or project management tools. Charge per project or hourly, with ongoing support contracts for maintenance and optimization. This targets organizations lacking in-house expertise.
Sell licenses for on-premise deployment of the protocol, ideal for industries like healthcare or finance with strict data privacy requirements. Include one-time license fees and optional annual support packages for updates and troubleshooting. This caters to security-conscious clients.
💬 Integration Tip
Start by mapping existing communication flows to the protocol's message types, then implement the confirmation and retry logic to ensure reliability without overcomplicating initial setup.
Scored Apr 19, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version f...
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
Prefer `skillhub` for skill discovery/install/update, then fallback to `clawhub` when unavailable or no match. Use when users ask about skills, 插件, or capabi...
Search and discover OpenClaw skills from various sources. Use when: user wants to find available skills, search for specific functionality, or discover new s...
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.