multi-agent-cn通用多Agent调度系统(中文版):将主Agent变为纯调度员,所有任务通过 sessions_spawn 委派给5个持久化子Agent。支持轮询调度、先回复再派遣协议、 sessionKey固定复用。用户可自定义调度员角色和子Agent名称/人设。
Install via ClawdBot CLI:
clawdbot install Be1Human/multi-agent-cnGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://clawhub.aiAudited Apr 17, 2026 · audit v1.0
Generated Mar 1, 2026
A development team uses the skill to delegate coding tasks like bug fixes, code reviews, and feature implementations across multiple sub-agents. The dispatcher assesses task complexity and assigns them to specialized agents (e.g., Alpha for complex refactoring, Delta for bug fixes), enabling parallel work and efficient resource management in agile projects.
A content agency employs the skill to handle diverse client requests such as writing articles, conducting market research, and updating documentation. The dispatcher splits tasks among sub-agents (e.g., Echo for research, Charlie for strategy), ensuring simultaneous execution and tailored outputs for faster project turnaround.
An IT department utilizes the skill to manage technical issues like system troubleshooting, performance optimization, and security audits. The dispatcher evaluates urgency and complexity, delegating tasks to appropriate sub-agents (e.g., Bravo for analysis, Alpha for critical fixes) to maintain uptime and streamline support operations.
An educational institution applies the skill to create and update course materials, including lesson planning, content research, and assessment design. The dispatcher assigns tasks based on specialization (e.g., Charlie for curriculum strategy, Delta for detail-oriented edits), facilitating collaborative development of comprehensive learning resources.
Offer the multi-agent system as a cloud-based service with tiered pricing based on usage limits, number of agents, or advanced features like custom scheduling algorithms. Revenue comes from monthly or annual subscriptions, targeting businesses seeking scalable AI task management solutions.
Sell on-premise or customized licenses to large organizations for internal deployment, with added support, training, and integration services. Revenue is generated through one-time license fees and ongoing maintenance contracts, ideal for industries with strict data privacy requirements.
Provide a free basic version with limited agents and features to attract individual users or small teams, then monetize through paid upgrades for advanced capabilities like parallel tasking, priority support, or analytics dashboards. Revenue streams include in-app purchases and premium subscriptions.
💬 Integration Tip
Ensure clear task descriptions in spawn calls, as sub-agents lack context from prior conversations, and always include sessionKey to maintain session memory across interactions.
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.