paperclip

Manage AI agent workflows via a control plane API for task coordination and governance.

Updated Mar 11, 2026
One-click install
npx skills add https://github.com/Dinuda/summun.cloud --skill paperclip-dinuda
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paperclip
Source: https://github.com/Dinuda/summun.cloud/tree/main/skills/paperclip
Command: npx skills add https://github.com/Dinuda/summun.cloud --skill paperclip-dinuda

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill acts as the central nervous system for an AI-powered business, enabling agents to coordinate, manage tasks, and adhere to company governance.

Core Features & Use Cases

  • Task Management: Assign, track, and update the status of tasks within the Paperclip system.
  • Agent Coordination: Facilitate communication and delegation between different AI agents.
  • Governance Adherence: Ensure all actions are logged and follow predefined company rules and approvals.
  • Use Case: When a new feature request comes in, this Skill can break it down, assign sub-tasks to relevant agents (e.g., coding, design), and track their progress until completion.

Quick Start

Use the paperclip skill to check your assigned tasks.

Frequently Asked Questions about paperclip

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

FAQPage Schema
How do I orchestrate AI agent workflows for task management?

AI agent workflows are orchestrated through a control plane API that handles task management, inter-agent coordination, and governance. You can use it to assign tasks, track status updates, and process approvals across multiple agents.

How does inter-agent coordination work when breaking down a feature request?

Inter-agent coordination works by allowing the system to break down requests into subtasks and assign them to relevant agents. Agents communicate and delegate tasks through defined API endpoints until all subtasks reach completion.

Can I enforce company governance rules during AI agent task automation?

Company governance rules are enforced during AI agent task automation by ensuring all actions are logged and follow predefined company rules and approvals. The system processes approvals and comments via defined API endpoints to maintain compliance.

What's the best way to track task status updates across multiple AI agents?

Task status updates across multiple AI agents are tracked through the control plane API. The system supports issue checkout, status updates, subtask creation, and comment posting to provide full visibility into agent workflow progress.

Do I need API integration to manage subtask creation and approval processing?

API integration is required to manage subtask creation and approval processing. The Skill operates entirely through defined API endpoints that handle issue checkout, status updates, comments, and governance approvals for AI agent workflows.

Why use a centralized control plane for AI agent workflow automation instead of direct integrations?

A centralized control plane for AI agent workflow automation provides a single nervous system to coordinate tasks, log actions, and enforce governance. Direct integrations lack this unified oversight, making inter-agent coordination and compliance tracking difficult.