multi-agent-coordinator协调并管理多个AI子Agent（Learner、Critic等）进行任务分工、通信和结果整合，实现复杂任务的多Agent协作。
Install via ClawdBot CLI:
clawdbot install yangchunwanwusheng/multi-agent-coordinatorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 20, 2026
A business needs to gather the latest market trends and evaluate competitor strategies. The Multi-Agent Coordinator creates a Learner Agent to search for recent reports and a Critic Agent to assess the reliability and relevance of the findings, integrating results into a comprehensive analysis.
A media company requires generating articles or social media posts with up-to-date information. The coordinator spawns a Learner Agent to fetch current data and a Critic Agent to review content for accuracy and tone, ensuring high-quality output before publication.
An IT department handles complex technical issues by coordinating agents to search for solutions and evaluate their effectiveness. The Learner Agent retrieves latest fixes or documentation, while the Critic Agent assesses applicability, speeding up resolution times.
An e-learning platform develops courses by using agents to gather the latest educational resources and critically review them for accuracy and engagement. The coordinator integrates insights to create updated and reliable learning materials.
Offer the Multi-Agent Coordinator as a cloud-based service with tiered pricing based on usage, such as number of agents spawned or tasks processed. This model provides recurring revenue and scalability for businesses needing on-demand coordination.
Sell licenses to large organizations for integrating the skill into their internal AI systems, with custom support and training. This model targets industries like finance or healthcare that require secure, high-volume multi-agent operations.
Provide professional services to help clients implement and optimize the skill for specific use cases, such as automating research workflows. This model leverages expertise to generate revenue through project-based engagements.
💬 Integration Tip
Start with simple tasks like coordinating a single Learner and Critic pair to handle basic queries, then scale up by integrating ontology skills for shared memory across sessions.
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...
Stop waiting for prompts. Keep working.
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
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.
Billions decentralized identity for agents. Link agents to human identities using Billions ERC-8004 and Attestation Registries. Verify and generate authentic...