# mission-control > Kanban-style task management dashboard for AI assistants. Manage tasks via CLI or dashboard UI. Use when user mentions tasks, kanban, task board, mission control, or wants to track work items with status columns (backlog, in progress, review, done). - Author: bluealmond33-debug - Repository: bluealmond33-debug/stockpin-community - Version: 20260204024023 - Stars: 0 - Forks: 0 - Last Updated: 2026-02-06 - Source: https://github.com/bluealmond33-debug/stockpin-community - Web: https://mule.run/skillshub/@@bluealmond33-debug/stockpin-community~mission-control:20260204024023 --- --- name: mission-control version: 2.0.0 description: Kanban-style task management dashboard for AI assistants. Manage tasks via CLI or dashboard UI. Use when user mentions tasks, kanban, task board, mission control, or wants to track work items with status columns (backlog, in progress, review, done). author: rdsthomas homepage: https://github.com/rdsthomas/mission-control repository: https://github.com/rdsthomas/mission-control license: MIT tags: - kanban - tasks - dashboard - project-management - github-pages - automation keywords: - task management - kanban board - AI workflow - GitHub Pages - webhook automation screenshot: https://raw.githubusercontent.com/rdsthomas/mission-control/main/docs/images/dashboard.png metadata: clawdbot: emoji: "🎛️" minVersion: "1.0.0" --- # Mission Control — Task Management for AI Assistants A Kanban-style task board that you (the AI assistant) manage. Your human creates and prioritizes tasks via the web dashboard; you execute them automatically when they're moved to "In Progress". ## 🚀 Quick Start **Just say:** *"Set up Mission Control for my workspace"* The agent will: 1. Check prerequisites (Tailscale, gh CLI) 2. Copy dashboard files to your workspace 3. Create the config file (`~/.clawdbot/mission-control.json`) 4. Install the webhook transform 5. Set up GitHub webhook 6. Push to GitHub and enable Pages **That's it.** The agent handles everything. --- ## Prerequisites Before setup, you need: | Requirement | Check | Install | |-------------|-------|---------| | **Tailscale** | `tailscale status` | `brew install tailscale` or [tailscale.com/download](https://tailscale.com/download) | | **Tailscale Funnel** | `tailscale funnel status` | `tailscale funnel 18789` (one-time) | | **GitHub CLI** | `gh auth status` | `brew install gh && gh auth login` | If any are missing, tell the agent — it will guide you through installation. --- ## How It Works 1. **Dashboard** — Web UI hosted on GitHub Pages where humans manage tasks 2. **Webhook** — GitHub sends push events to Clawdbot when tasks change 3. **Transform** — Compares old vs new tasks.json, detects status changes 4. **Auto-Processing** — When a task moves to "In Progress", the agent starts working ### The Flow ``` Human moves task → GitHub push → Webhook → Transform → Agent receives work order ↓ ↓ Dashboard Executes task ↓ ↓ Agent updates status ← Commits changes ← Marks subtasks done ←─┘ ``` --- ## Task Structure Tasks live in `/data/tasks.json`: ```json { "id": "task_001", "title": "Implement feature X", "description": "Detailed context for the agent", "status": "backlog", "subtasks": [ { "id": "sub_001", "title": "Research approach", "done": false }, { "id": "sub_002", "title": "Write code", "done": false } ], "priority": "high", "dod": "Definition of Done - what success looks like", "comments": [] } ``` ### Status Values | Status | Meaning | |--------|---------| | `permanent` | Recurring tasks (daily checks, etc.) | | `backlog` | Waiting to be worked on | | `in_progress` | **Agent is working on this** | | `review` | Done, awaiting human approval | | `done` | Completed and approved | --- ## CLI Commands Use `/scripts/mc-update.sh` for task updates: ```bash # Status changes mc-update.sh status review mc-update.sh status done # Comments mc-update.sh comment "Progress update..." # Subtasks mc-update.sh subtask sub_1 done # Complete (moves to review + adds summary) mc-update.sh complete "Summary of what was done" # Push to GitHub mc-update.sh push "Commit message" ``` --- ## Agent Workflow When you receive a task (moved to "In Progress"): 1. **Read** — Check title, description, subtasks, dod 2. **Mark started** — `mc-update.sh start ` 3. **Execute** — Work through subtasks, mark each done 4. **Document** — Add progress comments 5. **Complete** — `mc-update.sh complete "Summary"` ### Handling Rework If a completed task is moved back to "In Progress" with a new comment: 1. Read the feedback comment 2. Address the issues 3. Add a comment explaining your changes 4. Move back to Review --- ## EPICs EPICs are parent tasks with multiple child tickets. When you receive an EPIC: 1. Child tickets are listed in the subtasks (format: `MC-XXX-001: Title`) 2. Work through them sequentially (1 → 2 → 3...) 3. After each child: comment result, set to "review", mark EPIC subtask done 4. After last child: set EPIC to "review" --- ## Heartbeat Integration Add to your `HEARTBEAT.md`: ```markdown ## Task Check 1. Check `data/tasks.json` for tasks in "in_progress" 2. Flag tasks with `processingStartedAt` but no recent activity 3. Check "review" tasks for new feedback comments ``` --- ## Configuration Config lives in `~/.clawdbot/mission-control.json`. See `assets/examples/CONFIG-REFERENCE.md` for all options. Minimal config (set by agent during setup): ```json { "gateway": { "hookToken": "your-token" }, "workspace": { "path": "/path/to/workspace" }, "slack": { "botToken": "xoxb-...", "channel": "C0123456789" } } ``` --- ## Troubleshooting See `docs/TROUBLESHOOTING.md` for common issues: - Dashboard shows sample data → Connect GitHub token - Webhook not triggering → Check Tailscale Funnel - Changes not appearing → GitHub Pages cache (wait 1-2 min) --- ## Files | File | Purpose | |------|---------| | `/index.html` | Dashboard UI | | `/data/tasks.json` | Task data | | `/scripts/mc-update.sh` | CLI tool | | `~/.clawdbot/mission-control.json` | Config | | `~/.clawdbot/hooks-transforms/github-mission-control.mjs` | Webhook transform |