workflow

Track multi-agent tasks and Kanban boards via a centralized workflow-data.json dashboard.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Matraca130/numero1_sseki_2325_55 --skill workflow-matraca130
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: workflow
Source: https://github.com/Matraca130/numero1_sseki_2325_55/tree/main/.claude/skills/workflow
Command: npx skills add https://github.com/Matraca130/numero1_sseki_2325_55 --skill workflow-matraca130

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

This Skill provides a centralized engine to manage multiple agents across workstreams using Kanban boards, checklists, and staged workflows, reducing context switching and improving visibility.

Core Features & Use Cases

  • Centralized data model (workflow-data.json) that stores agents, tasks, and workflows and synchronizes with a browser dashboard.
  • Support for Kanban-style task tracking across multiple agents and staged pipelines with clear progress indicators.
  • Context-aware prompts and phase visibility to help users see the current workflow phase, pending work, and next actions.

Quick Start

Open the workflow hub and start by creating an agent named 'New Project', then add stages and tasks to model your workflow.

Frequently Asked Questions about workflow

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

FAQPage Schema
How do I coordinate multi-agent project workflows with a Kanban board?

Multi-agent workflow coordination is achieved by tracking tasks, stages, and Kanban boards within a local data model. This provides a single source of truth to visualize agents, pending work, and next steps.

What is the best way to track tasks across multiple AI agents?

The best way to track tasks across multiple agents is using a centralized workflow-data.json model that synchronizes with a browser dashboard. It persists and visualizes agents, staged pipelines, and checklists.

How do I set up a multi-agent workflow hub to manage project stages?

Open the workflow hub and create an agent named 'New Project', then add stages and tasks to model your workflow. This sets up the local data model to track your current phase and pending work.

Can I use a local JSON file to persist Kanban board data for project tracking?

Yes, a local workflow-data.json model stores agents, tasks, and workflows while synchronizing with a browser dashboard. This setup persists and visualizes your Kanban boards, stages, and checklists.

Does this workflow tool support context-aware prompts for pending work?

Yes, the tool provides context-aware prompts and phase visibility. It helps users see the current workflow phase, pending work, and next actions by leveraging the centralized workflow-data.json model.

What are the limitations of using a local JSON model for multi-agent task management?

The local JSON model restricts task management persistence to the local browser dashboard environment. It relies entirely on the workflow-data.json file without external database dependencies or cloud synchronization.