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paperclip

Orchestrates Paperclip control-plane tasks via API with authentication and run auditing.

Updated Mar 19, 2026
Search Tags:#workflow#api#governance#issue-tracking#ai-agents#heartbeat#paperclip
One-click install
npx skills add https://github.com/Avishai-Tsabari/agents_manager --skill paperclip-avishai-tsabari
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: paperclip
Source: https://github.com/Avishai-Tsabari/agents_manager/tree/main/skills/paperclip
Command: npx skills add https://github.com/Avishai-Tsabari/agents_manager --skill paperclip-avishai-tsabari

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Paperclip Skill provides a centralized command surface to coordinate a team of AI agents, manage tasks, track status, post comments, and enforce governance using the Paperclip API. It ensures actions are traceable to a heartbeat run and prevents unauthorized work.

Core Features & Use Cases

  • Orchestrates task lifecycles across agents via API (checkout, update, comments, releases, approvals).
  • Enforces governance rules, run auditing, and context propagation for informed decision-making.
  • Supports cross-team delegation and escalation through the chain-of-command with proper tracing.

Quick Start

Trigger a heartbeat for your Paperclip agent to begin coordinating tasks, assignments, and governance through the API.

Frequently Asked Questions about paperclip

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

FAQPage Schema
How do I coordinate AI agents for task tracking and issue state updates?▼

You can coordinate AI agents for task tracking and issue state updates by triggering a heartbeat run. This action orchestrates task lifecycles, manages assignments, and enforces governance through API-based interactions to ensure traceable workflows.

What is the best way to enforce governance and run auditing for AI agent workflows?▼

Enforcing governance and run auditing for AI agent workflows requires a centralized command surface that applies governance rules to every action. This ensures all tasks are traceable to a specific heartbeat run and prevents unauthorized work across cross-team delegations.

How do I manage cross-team delegation and approvals for automated tasks?▼

Managing cross-team delegation and approvals for automated tasks is handled through the chain-of-command via API. It supports task checkout, comments, releases, and structured context retrieval to ensure informed decision-making and proper tracing across projects and goals.

Do I need environment-based authentication to manage AI agent task lifecycles?▼

Yes, environment-based authentication is required to manage AI agent task lifecycles securely. It validates API-based interactions for runtime heartbeat runs, task checkouts, and governance enforcement to maintain traceable and authorized workflows within company projects.

Why does my API-based task checkout fail without a valid heartbeat run?▼

API-based task checkout fails without a valid heartbeat run because the system requires all actions to be traceable. The heartbeat enforces governance rules and run auditing, preventing unauthorized agents from checking out or updating issue states within your projects.

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