skills.rest
adarshmishra07
adarshmishra07COMMUNITY
Explore all skills by this author →
GitHub

claw-control

Coordinate AI agent workflows with a real-time Kanban dashboard.

18|7|Updated Feb 4, 2026
Search Tags:#task management#workflow automation#ai agents#dashboard#agent coordination#kanban#mission control
One-click install
npx skills add https://github.com/adarshmishra07/claw-control --skill claw-control
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: claw-control
Source: https://github.com/adarshmishra07/claw-control/tree/main
Command: npx skills add https://github.com/adarshmishra07/claw-control --skill claw-control

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a central dashboard for coordinating AI agents, managing tasks, and tracking their progress, eliminating the chaos of unmanaged AI workflows.

Core Features & Use Cases

  • Kanban Task Management: Visualize and manage AI agent tasks through a familiar Kanban board.
  • Agent Coordination: Monitor agent status, assign tasks, and facilitate communication between agents.
  • Real-time Updates: All changes are reflected instantly via Server-Sent Events (SSE).
  • Use Case: Set up a team of AI agents for a software development project. Use Claw Control to assign tasks like "write API endpoints" to the backend agent, "build UI components" to the frontend agent, and "deploy to staging" to the DevOps agent, all from a single, unified interface.

Quick Start

Install the claw-control skill to your AI agent.

Frequently Asked Questions about claw-control

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

FAQPage Schema
What is a kanban dashboard for AI agent workflow automation?▼

A kanban dashboard for AI agent workflow automation provides a central interface to visually track multi-agent task execution, monitor agent status, and facilitate inter-agent communication. It eliminates the chaos of unmanaged AI workflows by enforcing structured task coordination.

How do I coordinate multiple AI agents on a software development project?▼

You can coordinate multiple AI agents by assigning specific tasks like writing API endpoints or building UI components to individual agents from a unified mission control interface. The dashboard tracks agent status and facilitates inter-agent communication throughout the workflow.

Does this AI agent coordination dashboard support real-time task updates?▼

Yes, the AI agent coordination dashboard supports real-time task updates using Server-Sent Events (SSE). All changes made to tasks or agent statuses are reflected instantly across the central kanban interface.

Can I use this mission control dashboard with existing AI agent frameworks?▼

Yes, the mission control dashboard integrates with AI agent frameworks like OpenClaw. It provides a visual kanban interface to manage task execution and monitor agent status for your existing framework.

What are the limitations of using a kanban board for multi-agent task execution?▼

The kanban board for multi-agent task execution requires a compatible AI agent framework like OpenClaw to function. While it excels at visual task tracking and agent status monitoring, it does not independently execute tasks without underlying agent infrastructure.

Related Skills

Explore More Software Engineering Skills→
oabdelmaksoudoabdelmaksoud
3

agi-farm

Automate multi-agent AI team setup and deployment on OpenClaw.

Community
Advanced
OrcaQubitsOrcaQubits
35

a2a-streaming

Implement Agent-to-Agent Server-Sent Events streaming for incremental task updates.

Official
Intermediate
hyperlisthyperlist
271

feishu-multi-agent

Create and manage multi-agent AI systems integrated with Feishu.

Community
Advanced
maoshutalkmaoshutalk

botdeck-mcp

Run a local MCP server for BotDeck task and workflow management.

Community
Advanced