multi-agent-protocolOpenClaw-native v2 protocol for spec-first multi-agent delivery. Use when you need 2+ agents with explicit phase control, dual review gates, bounded retry/ci...
Install via ClawdBot CLI:
clawdbot install hakityc/multi-agent-protocolGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
A team uses the protocol to automate code reviews and deployments. The orchestrator creates a task for a new feature, dispatches an executor via ACP to Codex for implementation, then passes through spec and quality gates with reviewers before Lobster handles deployment approvals. This ensures structured, auditable development with side-effect control.
A financial institution automates report generation and compliance checks. The orchestrator defines a spec for regulatory reports, executors produce data artifacts, and reviewers verify accuracy and risk. Lobster gates approvals before submission to external systems, with retry logic for data errors and circuit breakers for failures.
A healthcare provider manages ETL pipelines for patient data. The protocol enforces spec-first design for data transformations, with executors handling processing and reviewers ensuring data quality and privacy. Lobster approves sensitive data exports, and ACP integrates external analytics tools for validation.
An e-commerce platform automates order processing from placement to delivery. The orchestrator creates tasks for each order phase, executors handle inventory checks and shipping, and reviewers verify accuracy. Lobster manages approvals for irreversible actions like refunds, with retry policies for failed steps.
A research team coordinates multi-agent experiments. The orchestrator defines project specs, dispatches agents for data collection and analysis via ACP to external tools, and uses reviewers for validation. Lobster handles approvals for publishing results, with circuit breakers to halt on critical errors.
Offer the protocol as a cloud service where businesses define multi-agent workflows via a UI. Revenue comes from subscription tiers based on task volume, agent count, and integration features like ACP bridges. This model targets enterprises needing scalable, auditable automation.
Provide expertise to implement the protocol in client environments, tailoring it to specific industries like finance or healthcare. Revenue is generated through project fees, ongoing support contracts, and training sessions. This model suits organizations with complex, legacy systems.
Distribute the core protocol as open-source to build a community, while monetizing premium plugins for advanced features like enhanced Lobster templates, ACP connectors, or analytics dashboards. Revenue streams include plugin sales and enterprise support packages.
💬 Integration Tip
Ensure SQLite is configured for persistence and event logging, and explicitly enable ACP when integrating external coding tools like Codex to avoid runtime conflicts.
Scored Apr 19, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
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Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.