Vibe Kanban - ACT Ecosystem Task Orchestration

Orchestrate parallel AI agents across ACT projects with isolated git worktrees.

Updated Dec 27, 2025
One-click install
npx skills add https://github.com/Acurioustractor/act-global-infrastructure --skill vibe-kanban-act-ecosystem-task-orchestration
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Vibe Kanban - ACT Ecosystem Task Orchestration
Source: https://github.com/Acurioustractor/act-global-infrastructure/tree/main/.claude/skills/agent-kanban
Command: npx skills add https://github.com/Acurioustractor/act-global-infrastructure --skill vibe-kanban-act-ecosystem-task-orchestration

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Vibe Kanban provides task orchestration for AI coding agents across ACT ecosystem projects with parallel execution and git worktree isolation, reducing coordination overhead and conflicts.

Core Features & Use Cases

  • Parallel Execution: Run multiple agents simultaneously across different tasks without interference.
  • Git Worktree Isolation: Each task operates in its own worktree, preventing cross-task changes.
  • Built-in Code Review: Diff viewer, agent reasoning logs, and execution history before merging.
  • Real-time Monitoring: Live visibility into agent thinking and file changes.
  • Use Case: Manage sprint work for Empathy Ledger, JusticeHub, ACT Farm, The Harvest, Goods, ACT Placemat, and ACT Studio in a unified workflow.

Quick Start

Launch the UI with npx vibe-kanban, then create a task, assign an agent, and monitor live updates to iterate and merge as needed.

Frequently Asked Questions about Vibe Kanban - ACT Ecosystem Task Orchestration

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

FAQPage Schema
How do I run parallel AI coding agents without them overwriting each other's changes?

Git worktree isolation allows each AI agent to operate in its own dedicated working directory, preventing cross-task changes during concurrent execution. This enables running multiple agents simultaneously across different projects without file conflicts.

What is the best way to manage cross-project refactoring with AI agents?

The best way to manage cross-project refactoring with AI agents is using a centralized kanban orchestration instance. It targets multi-project sprints by assigning agents to isolated worktrees, enabling concurrent task execution and rapid, centralized code review before merging.

How do I review code changes from an AI agent before merging them?

You can review code changes from an AI agent before merging by using a built-in diff viewer alongside agent reasoning logs and execution history. This provides visibility into agent thinking and file changes, allowing you to iterate and approve modifications safely.

Can I monitor real-time file changes and agent thinking during parallel task execution?

Yes, you can monitor real-time file changes and agent thinking during parallel task execution. The orchestration UI provides live visibility into agent reasoning logs and file modifications, allowing you to track progress and iterate as needed before merging.

How do I start orchestrating AI tasks with git worktrees using a local kanban board?

To start orchestrating AI tasks with git worktrees, launch the local UI using the npx command. From there, create a task, assign an agent, monitor live updates, and iterate through the diff review and merge capabilities within the unified interface.