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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.

broedkrummen0 source installs☆ 0 Repository stars

Installation

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Skill instructions

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:

    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...

Source information

Source
github
Repository
openclaw/skills
Path
skills/broedkrummen/overkill-mission-control
Version
—
Commit
25a096a7a117f42d170a520a0e6c75c71af730dd
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

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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