multi-agent-deploy快速部署新的 assistant agent。当用户需要新增 agent 时自动创建,编号递增,沿用现有 workspace 和 agentDir 结构。使用场景:「新增一个 agent」、「创建 assistant2」、「加一个日常助手」等请求。
Install via ClawdBot CLI:
clawdbot install zhou19931993/multi-agent-deployGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://github.com/openclaw/workspaceAudited Apr 17, 2026 · audit v1.0
Generated May 11, 2026
A company needs to rapidly deploy new AI assistants to handle increasing customer support volume. This skill automates the creation of a new agent with an incremented ID, copying workspace files and updating configuration, allowing the support team to scale agent capacity quickly without manual setup.
An organization wants to create dedicated AI assistants for different departments such as HR, IT, and Finance. Using this skill, administrators can deploy new agents by simply requesting 'add an HR assistant' or 'create a finance agent', with each agent receiving its own workspace and agent directory.
Developers need to quickly spin up multiple AI agents to test different configurations, models, or use cases. This skill enables fast iteration by automating the deployment of new agents, allowing teams to focus on customization rather than infrastructure setup.
An organization wants to deploy separate AI assistants for different communication channels (e.g., Telegram, Slack, web chat). After deploying a new agent with this skill, administrators can easily bind it to a specific channel by editing the bindings in the configuration file, enabling channel-specific behavior.
During a large event or product launch, a company may need temporary AI assistants to handle queries. This skill allows quick deployment of multiple temporary agents, each with unique IDs, and easy cleanup after the event, ensuring smooth scaling of support without permanent overhead.
Provide a platform that allows customers to deploy and manage multiple AI agents for various use cases, charging a base subscription fee plus per-agent pricing. The skill enables customers to self-serve agent deployment, reducing support costs and increasing platform stickiness.
Offer consulting services to set up multi-agent systems for enterprise clients, using this skill to automate the initial deployment. Revenue comes from consulting fees, and ongoing maintenance or upgrades provide recurring income.
As an agency, deploy multiple AI agents for different client projects, each with its own workspace and configuration. The skill allows rapid scaling of agent deployment across clients, charging per agent per month based on usage or fixed fee.
💬 Integration Tip
Ensure the openclaw gateway is restarted after deploying a new agent to apply configuration changes. Optionally, edit the bindings to connect the new agent to specific channels.
Scored May 11, 2026
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