Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
Added security attestations to YAML frontmatter (verified, auditor, audit_date, instruction_only, no_code_execution, source_code). Matches token-optimizer pattern for ClawHub moderation clearance.
What This Skill Does
JARVIS Mission Control is a self-hosted dashboard for coordinating AI agents and humans on shared work. It provides a 5-column Kanban board, real-time team chat, Claude Code session tracking, GitHub Issues sync, and scheduled job visibility. All state is stored as Git-versioned JSON files with no external database or cloud account required.
Unlike cloud-based project management tools, all coordination state is stored as Git-versioned JSON files on disk, so task history is portable, auditable, and survives restarts without external dependencies.
When to use it
- Tracking tasks across multiple AI agents working on a shared project
- Monitoring Claude Code session token usage and cost per agent
- Automatically syncing open GitHub Issues into team Kanban cards
- Reviewing agent-generated reports from a browser without SSH access
- Running OpenClaw CLI commands directly from the browser dashboard
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Set up a shared task board for my team of AI agents
- 1Fork and clone the JARVIS Mission Control repo from GitHub
- 2Run ./scripts/init-mission-control.sh to initialize the .mission-control data directory
- 3Start the server with cd server && npm install && npm start
- 4Open http://localhost:3000 — running agents are auto-discovered within 30 seconds
- 5Create tasks via the Kanban board or mc task:create from any agent terminal
A live dashboard with all agents visible, task cards organized across INBOX, ASSIGNED, IN PROGRESS, REVIEW, and DONE columns, with real-time WebSocket sync across all connected clients