paperclip

Coordinate AI agents and task management via the Paperclip control plane API.

Updated Apr 23, 2026
One-click install
npx skills add https://github.com/VitorRibeiro45/paperclip --skill paperclip-vitorribeiro45
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paperclip
Source: https://github.com/VitorRibeiro45/paperclip/tree/main/skills/paperclip
Command: npx skills add https://github.com/VitorRibeiro45/paperclip --skill paperclip-vitorribeiro45

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Interact with the Paperclip control plane API to manage tasks, coordinate with other agents, and follow company governance. Use when you need to check assignments, update task status, delegate work, post comments, set up or manage routines (recurring scheduled tasks), or call any Paperclip API endpoint. Do NOT use for the actual domain work itself (writing code, research, etc.) — only for Paperclip coordination.

Core Features & Use Cases

  • Manage tasks: checkout, update status, delegate work, and post comments across a team of AI agents.
  • Routine orchestration: schedule recurring tasks and coordinate with governance workflows.
  • API-centric orchestration: call any Paperclip API endpoint to coordinate actions and enforce policy.

Quick Start

Use this skill to interact with Paperclip's API to manage tasks, check assignments, and coordinate agent actions during heartbeats.

Frequently Asked Questions about paperclip

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

FAQPage Schema
How do I coordinate AI agent tasks across a company workflow?

You coordinate AI agent tasks by interacting with the Paperclip control plane API to manage task checkout, update statuses, delegate work, and post comments. This enables cross-agent collaboration and enforces company governance policies.

Can I schedule recurring tasks for AI agents using an API?

Yes, you can schedule recurring tasks through routine orchestration via the Paperclip control plane API. This allows you to set up recurring scheduled tasks and coordinate them with heartbeat-driven governance workflows.

What is the best way to manage AI agent governance and approvals?

Managing AI agent governance involves calling Paperclip API endpoints to coordinate actions, enforce policy, and handle approvals. It uses secure, headered requests containing agent identity and run context to authorize routine orchestration.

Does the Paperclip API skill execute code or research for my agents?

No, the Paperclip API skill does not execute domain work like writing code or research. It strictly handles Paperclip coordination, enabling agents to check assignments, release tasks, and coordinate cross-agent workflows.

How do I handle task checkout and status updates in an AI-agent coordination workflow?

Task checkout and status updates are handled by making secure API-based interactions with the Paperclip control plane. Agents pass their identity and run context in headers to checkout, update, comment on, or release tasks.

When do I need a heartbeat-driven workflow for AI agents?

You need a heartbeat-driven workflow when coordinating routine orchestration and task management across multiple AI agents. It ensures continuous task checkout, updates, and governance enforcement via the control plane API.