kanban

Coordinate multi-agent task execution with a SQLite-backed kanban system.

3|Updated Apr 21, 2026
One-click install
npx skills add https://github.com/DarkArty07/Aether-Agents --skill kanban-darkarty07
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kanban
Source: https://github.com/DarkArty07/Aether-Agents/tree/main/home/skills/devops/kanban
Command: npx skills add https://github.com/DarkArty07/Aether-Agents --skill kanban-darkarty07

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill eliminates the chaos of uncoordinated multi-agent task execution for complex projects by providing a structured, SQLite-backed kanban system that supports parallel work, human-in-the-loop checkpoints, crash recovery, and permanent audit trails.

Core Features & Use Cases

  • Orchestrator Decomposition Playbook: Guides orchestrators to break complex goals into assignable kanban tasks, link dependent tasks, assign work to the correct specialist profile (researcher, engineer, reviewer, etc.), and avoid executing work directly to maintain proper role separation.
  • Worker Execution Guidance: Provides clear rules for handling different workspace types, submitting task completions with rich metadata, retrying failed tasks, and avoiding common pitfalls that lead to stuck or invalid tasks.
  • Use Case Example: When building a new software feature, use this skill to decompose the work into parallel research, design, coding, and review tasks assigned to specialist agents, with full visibility into progress and the ability to interject at any step.

Quick Start

Use the kanban skill to decompose your complex multi-agent project goal into structured, assignable tasks with clear dependencies and specialist agent assignments.

Frequently Asked Questions about kanban

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

FAQPage Schema
How do I coordinate multi-agent workflows for parallel specialist tasks?

You coordinate multi-agent workflows by using a kanban orchestration framework to decompose complex goals into assignable tasks, link dependencies, and assign work to specialist agent profiles. This provides structured parallel execution with crash recovery and audit trails.

What is the best way to decompose complex projects into tasks for multiple AI agents?

The best way to decompose complex projects for multiple AI agents is using an orchestrator playbook that breaks goals into parallel research, design, coding, and review tasks. This assigns work to correct specialist profiles while maintaining proper role separation and avoiding direct execution.

How does human-in-the-loop checkpoint integration work with automated task orchestration?

Human-in-the-loop checkpoint integration in task orchestration works by providing structured kanban task states that pause automated specialist work for human review. This allows you to interject at any step while maintaining full visibility into progress and permanent audit trails.

Can I use kanban task management to isolate workspaces for different specialist agents?

Yes, you can use kanban task management to isolate workspaces for different specialist agents. The framework provides clear rules for handling different workspace types, submitting task completions with rich metadata, and retrying failed tasks to avoid stuck or invalid states.

Why do my multi-agent tasks get stuck or fail during uncoordinated execution?

Multi-agent tasks get stuck or fail during uncoordinated execution due to a lack of standardized dependency linking and crash recovery. Applying a structured kanban framework with clear worker execution guidance prevents common pitfalls and enables reliable task retries.

Do I need a specific database to maintain audit trails for long-running agent workflows?

You need a SQLite-backed system to maintain permanent audit trails for long-running agent workflows. This provides the persistent storage required to track task completion with rich metadata, support crash recovery, and ensure full visibility across critical multi-agent operations.