mission-control

Automate Kanban task management with Git-based sync to GitHub Pages.

23|11|Updated Jan 28, 2026
One-click install
npx skills add https://github.com/rdsthomas/mission-control --skill mission-control-rdsthomas
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mission-control
Source: https://github.com/rdsthomas/mission-control/tree/main
Command: npx skills add https://github.com/rdsthomas/mission-control --skill mission-control-rdsthomas

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, git, and includes scripts (resource) and assets (resource) components.

What problem does it solve?

Mission Control provides a visual, Kanban-style interface to manage AI assistant tasks, unifying chat-driven work with a persistent backlog and clear status columns. It eliminates scattered tasks across conversations by offering a centralized board you and your AI can collaborate on.

Core Features & Use Cases

  • Kanban Board & Columns: Backlog, In Progress, Review, Done, with templates and recurring tasks.
  • Bidirectional Workflows: Tasks can be created/edited from the dashboard or via AI/CLI, with real-time syncing to GitHub Pages-hosted UI.
  • Agent Guidance & Automation: When tasks move to In Progress, an agent receives a structured work order to execute work and update subtasks and comments.
  • Use Case: A product team surfaces tasks from conversations, tracks progress visually, and preserves history via Git-backed changes.

Quick Start

  • Install Mission Control in your workspace, set up prerequisites (GitHub, Tailscale), and approve the GitHub webhook transform.

Frequently Asked Questions about mission-control

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage AI assistant tasks on a visual Kanban board?

You can manage AI assistant tasks on a visual Kanban board by automating task workflows across Backlog, In Progress, Review, and Done columns. This centralized dashboard syncs with your AI and CLI to track progress visually.

How does Kanban task management sync with GitHub Pages?

Kanban task management syncs with GitHub Pages using Git-based version control to host the dashboard UI. Changes made via the dashboard or AI/CLI are preserved through Git-backed history.

Do I need Python3 and Git to use a Kanban dashboard for AI tasks?

Yes, you need Python3 and Git installed to run this Kanban dashboard for AI tasks. These dependencies support the underlying automation scripts and the Git-based synchronization required for task tracking.

Can I trigger structured work orders when moving tasks to In Progress?

Yes, moving tasks to In Progress automatically triggers an agent guidance work order. The AI agent receives a structured prompt to execute the work, update subtasks, and add comments on the Kanban board.

What's the best way to stop scattering AI tasks across multiple conversations?

The best way to stop scattering AI tasks across conversations is to use a unified Kanban board. It centralizes chat-driven work into a persistent backlog with clear status columns, preserving project history.

Does drag-and-drop Kanban task management support subtasks and archiving?

Drag-and-drop Kanban task management supports subtasks, comments, and archiving out of the box. These features allow you to break down complex work and preserve completed tasks without cluttering active columns.