OpenClaw

overkill-mission-control

Comprehensive Mission Control dashboard for OpenClaw - monitor agents, automation, teams, documents, messages, and system metrics. Features real-time dashboards, agent-to-agent messaging, task execution, and enterprise-level monitoring.

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查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install broedkrummen/overkill-mission-control

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Overkill Mission Control

Enterprise-grade operations dashboard for OpenClaw autonomous agents.

Overview

Mission Control provides comprehensive monitoring and control for OpenClaw agents, including:

Real-time dashboard with live metrics
Agent-to-agent messaging with LLM-powered responses
Task execution framework
Automation workflows
Document management
Team coordination
System alerts and SLO tracking

Quick Start

Start the dashboard:

cd ~/.openclaw/workspace-mission-control
npm run dev

Access locally: http://localhost:3000
Access via Tailscale: https://<your-host>.taila0448b.ts.net (run tailscale serve 3000 to enable)

Pages

Page	Description
`/`	Main dashboard with live metrics
`/tasks`	Task queue and management
`/workshop`	Agent workshop with Kanban
`/teams`	Team management
`/messages`	Agent-to-agent messaging
`/documents`	Document storage and management
`/automation`	Automation workflows
`/intelligence`	System intelligence
`/alerts`	Alert management
`/slo`	SLO/Error budget tracking
`/runbooks`	Runbook automation
`/feature-flags`	Feature flag management
`/environments`	Environment comparison
`/webhooks`	Webhook management
`/stats`	Statistics and analytics
`/settings`	System settings

Features

Real-time Dashboard

Live session count
Active agents
Resource utilization (CPU, memory, disk)
System health score
Task distribution
Timeline of activities

Agent-to-Agent Messaging

Send messages between agents
LLM-powered responses (MiniMax M2.5)
Task execution framework
Auto-acknowledge and respond
Polling every 60 seconds

Task Execution

Agents can execute tasks based on message content:

researcher: research, web_search, summarize
seo: keyword_research, audit, analyze_competitors
contentwriter: write_article, rewrite
`data-a...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/broedkrummen/overkill-mission-control
Version: —
Commit: 25a096a7a117f42d170a520a0e6c75c71af730dd
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Overkill Mission Control

Enterprise-grade operations dashboard for OpenClaw autonomous agents.

## Overview

Mission Control provides comprehensive monitoring and control for OpenClaw agents, including:
- Real-time dashboard with live metrics
- Agent-to-agent messaging with LLM-powered responses
- Task execution framework
- Automation workflows
- Document management
- Team coordination
- System alerts and SLO tracking

## Quick Start

1. **Start the dashboard:**
   ```bash
   cd ~/.openclaw/workspace-mission-control
   npm run dev
   ```

2. **Access locally:** http://localhost:3000

3. **Access via Tailscale:** https://<your-host>.taila0448b.ts.net (run `tailscale serve 3000` to enable)

## Pages

| Page | Description |
|------|-------------|
| `/` | Main dashboard with live metrics |
| `/tasks` | Task queue and management |
| `/workshop` | Agent workshop with Kanban |
| `/teams` | Team management |
| `/messages` | Agent-to-agent messaging |
| `/documents` | Document storage and management |
| `/automation` | Automation workflows |
| `/intelligence` | System intelligence |
| `/alerts` | Alert management |
| `/slo` | SLO/Error budget tracking |
| `/runbooks` | Runbook automation |
| `/feature-flags` | Feature flag management |
| `/environments` | Environment comparison |
| `/webhooks` | Webhook management |
| `/stats` | Statistics and analytics |
| `/settings` | System settings |

## Features

### Real-time Dashboard
- Live session count
- Active agents
- Resource utilization (CPU, memory, disk)
- System health score
- Task distribution
- Timeline of activities

### Agent-to-Agent Messaging
- Send messages between agents
- LLM-powered responses (MiniMax M2.5)
- Task execution framework
- Auto-acknowledge and respond
- Polling every 60 seconds

### Task Execution
Agents can execute tasks based on message content:
- `researcher`: research, web_search, summarize
- `seo`: keyword_research, audit, analyze_competitors
- `contentwriter`: write_article, rewrite
- `data-a...

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