OpenClaw with Snappy: OpenClaw Mission Control

because no one should ever pay for prompts

In the fast-evolving world of AI agent orchestration, OpenClaw has emerged as a powerful engine for deploying and coordinating autonomous agents. Yet, as your fleet of AI workers grows—from simple task executors to complex multi-agent teams—managing them through scattered chats and CLI commands quickly turns into chaos. Enter the OpenClaw Mission Control Dashboard: a centralized command center that brings visibility, control, and orchestration together in one elegant interface. Whether you’re tracking real-time agent activity, assigning tasks via an intuitive Kanban board, monitoring token usage and costs, or overseeing live feeds of agent decisions, this dashboard transforms raw OpenClaw power into a professional operations hub—giving you the air-traffic-control view your AI workforce deserves.

Note before we start:

1. If you are having trouble with the base installation. Click HERE for OpenClaw Installation & Configuration Guide.

2. If you are looking for the OpenClaw Prompting to fully unleash your OpenClaw, Click HERE for the OpenClaw Prompting: From Reactive Chat to Ruthless 24/7 Agent Guide

The Prompts

This guide is broken into the 4 Prompts to ensure proper configuration without hitting context limits. Copy the below into a notepad/text document, then replace <YOUR NAME> 2x, then Cut and Paste each prompt into your OpenClaw TUI.

Prompt 1

Act as a Senior Full Stack Engineer. I want you to build me a Mission Control dashboard as a single HTML file. This will be my personal command center — tracking goals, projects, revenue, AI agents, and more. 

About Me:
- Name: <YOUR NAME>
- Business/Role: AI Development — CEO
- Mission Statement: An autonomous organization of AI agents that does work for me and produces value 24/7
- Key Metric: Net Value Produced per Day

Technical Requirements:
- Single self-contained HTML file (inline CSS + JS, no external dependencies except Google Fonts Inter)
- Dark theme with glassmorphism: primary bg #050508, cards with backdrop-filter blur, subtle borders rgba(255,255,255,0.06)
- Accent color: #3B82F6 (use for highlights, active states, glows)
- Font: Inter from Google Fonts
- Fully responsive, smooth animations (fadeInUp on cards, pulse on status dot)
- All data saved to localStorage so nothing is lost on refresh

Layout:
- Sticky frosted-glass header: logo/title left, tab navigation center, search bar + live status dot right
- Tabs: 📊 Dashboard, 📋 Projects, 📅 Timeline, 📝 Notes
- Main content max-width 1600px, centered, 2.5rem padding

Dashboard Tab:
- Welcome bar: "Good [morning/afternoon/evening], <YOUR NAME>" with live date/time
- 4 metric cards in a grid: each with colored top accent bar (3px), icon, label, value, and trend indicator
  Cards: [GOAL_METRIC] progress, Active Projects count, Tasks Today count, Days to Goal countdown
- Activity feed: scrollable list of recent items with timestamps (stored in localStorage)
- Top Priorities section: editable list with checkboxes, add new priority button

Projects Tab:
- Kanban board with 3 columns: Backlog, In Progress, Done
- Task cards: title, description preview, priority badge (high/medium/low with colors), created date
- Add task button per column, click card to edit, delete option
- All tasks persisted to localStorage

Timeline Tab:
- Visual roadmap with phases displayed vertically
- Each phase: title, date range, description, list of milestones with completion checkmarks
- Current phase highlighted with accent glow
- Data defined in a JS config object (easy to edit)

Notes Tab:
- Large textarea with markdown-style formatting
- Auto-saves to localStorage on every keystroke
- Character count, last saved timestamp
- Clean minimal design

Code Quality:
- Clean, well-organized code with comments for each section
- CSS variables for all colors/spacing (easy to re-theme)
- Smooth transitions on all interactive elements
- Keyboard shortcut: Cmd/Ctrl+K to focus search

Build the complete file. Make it production quality — this should look like a premium SaaS dashboard, not a hobby project.

💡 How to use: Open a new conversation with your AI. Paste your existing mission-control.html file first, then paste the module prompt below it. The AI will return an updated file with the new tab integrated.

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💰 Module A: Revenue Tracker - Track MRR, manage clients, visualize growth, and project annual revenue.
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Add a 💰 Revenue tab to my Mission Control. Include:
- Monthly revenue goal with visual gauge (circular or bar)
- Revenue chart showing last 6 months (simple bar chart, CSS-only or canvas)
- Client list with: name, monthly value, status (active/pending/churned), start date
- Add/edit/remove clients, auto-calculate MRR
- Revenue projections section: if current MRR continues, show projected annual + monthly growth needed to hit goal
- All data in localStorage
- Match the existing dark glassmorphism theme and animation style
----------
🏢 Module B: AI Agent Command Center - Manage your AI agents, track their activity, send tasks, and log executive decisions.
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Add a 🏢 Command Center tab to my Mission Control for managing my AI agents/team. Include:
- Agent cards in a grid: each shows name, role/title, status (online/busy/offline with colored dots), model being used, last active timestamp
- Click agent card to open a slide-out detail panel with: full description, capabilities list, recent activity log, performance notes
- "Send Task" button that opens a modal with a text area (simulates sending tasks — saves to agent's activity log)
- Executive Decisions section below agents: list of key decisions made with date, question asked, decision summary, which agents were consulted
- Store all agent data in localStorage, include 3-4 sample agents to start
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🎬 Module C: YouTube Studio - Plan video content, track growth milestones, and manage a content calendar.
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Add a 🎬 YouTube tab to my Mission Control for planning video content. Include:
- Video ideas pipeline: cards with title, topic, status (idea/scripting/filming/editing/published), target publish date
- Add/edit ideas, move between statuses
- YouTube growth tracker: current sub count (editable), milestone levels with fun titles (e.g., "Rising Creator" at 1K, "Growth Engine" at 10K), XP-style progress bar to next milestone
- Content calendar: simple month grid showing planned publish dates
- All data in localStorage, match existing theme
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📞 Module D: Meeting Prep - Never walk into a meeting unprepared. Track agendas, notes, and action items.
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Add a 📞 Meetings tab to my Mission Control. Include:
- Upcoming meetings list: title, date/time, attendee(s), type (call/zoom/in-person), prep notes
- Add/edit/delete meetings
- Each meeting card expands to show: agenda items (editable checklist), notes textarea, action items that come out of it
- Past meetings archive (auto-moves when date passes)
- Today's meetings highlighted at top with countdown timers
- localStorage persistence, match theme
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📡 Module E: Daily Intel Feed - Curate your own intel feed — AI news, trends, competitor moves, and opportunities.
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Add a 📡 Intel tab to my Mission Control. Include:
- Sections for different intel categories: AI News, Industry Trends, Competitor Watch, Opportunities
- Each item: title, summary, source link, date added, importance tag (🔥 hot / ⚡ notable / 📌 reference)
- Add new intel items with a simple form
- Filter by category and importance
- "Daily Brief" section at top: 3-5 most important items auto-sorted by date
- localStorage persistence, match theme
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Make Mission Control a living dashboard. This prompt builds a lightweight Node.js server for live data, weather, and backup.

I need a lightweight local server to power my Mission Control dashboard with live data. Build me a complete Node.js server with these specs:

Setup:
- Single file: server.js (or server.mjs)
- Port: 8899
- Serve my mission-control.html file at the root
- CORS enabled for local development
- No heavy frameworks — just built-in Node http/https modules (or Express if cleaner)

API Endpoints:
Create RESTful endpoints that Mission Control can fetch from:

1. GET /mc/status — Returns system status:
   - Server uptime, last data refresh timestamp, connection health: "online"

2. GET /mc/data — Returns dashboard data:
   - Read from a local JSON file (mc-data.json) that stores all dashboard state

3. POST /mc/data — Save dashboard data:
   - Accepts JSON body, writes to mc-data.json
   - Lets Mission Control sync its localStorage to the server as backup

4. GET /mc/weather?city=Hagerstown — Fetch current weather:
   - Use wttr.in API (free, no key): https://wttr.in/Hagerstown?format=j1
   - Return: temperature, condition, feels_like

5. GET /mc/activity — Returns recent activity log:
   - Read from mc-activity.json, returns last 50 entries

6. POST /mc/activity — Add activity entry:
   - Appends to mc-activity.json with timestamp

Auto-start (macOS):
Also generate a LaunchAgent plist file that auto-starts this server on login:
- File: ~/Library/LaunchAgents/com.missioncontrol.server.plist
- Points to the server.js file
- Runs on load, restarts if crashed
- Include the terminal commands to install it

Setup instructions:
Print clear step-by-step setup instructions:
1. Save server.js to a folder
2. Run `node server.js`
3. Open http://localhost:8899
4. (Optional) Install the LaunchAgent for auto-start

Keep it simple. No database, no auth, no complexity. Just a clean local server that makes Mission Control come alive.

Once your server is running, use this mini-prompt to wire up your dashboard:

Update my mission-control.html to connect to the local server at http://localhost:8899. Add:

1. On page load, fetch GET /mc/data and merge with localStorage (server = backup, localStorage = primary)
2. Every 5 minutes, POST current localStorage state to /mc/data as backup
3. Fetch weather from GET /mc/weather?city=Hagerstown and display temp + condition in the header next to the status dot
4. When any data changes, POST to /mc/activity with a description of what changed
5. Update the status dot: green = server connected, red = offline (fallback to localStorage-only mode)
6. Add a small "Server: Online/Offline" indicator in the header

Keep all existing localStorage functionality as the primary data layer. The server is a backup + data enrichment layer, not a replacement.