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Uniquecrete
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handoff

Save pending task context and user questions for cross-channel resume.

Updated May 6, 2026
Search Tags:#automation#messaging#agent workflow#handoff#state persistence#conversation continuity#pause resume
One-click install
npx skills add https://github.com/Uniquecrete/ThinkFasterv1 --skill handoff-uniquecrete
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: handoff
Source: https://github.com/Uniquecrete/ThinkFasterv1/tree/main/Skills/handoff
Command: npx skills add https://github.com/Uniquecrete/ThinkFasterv1 --skill handoff-uniquecrete

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

It solves the problem of losing context when an AI must stop to wait for the user, ensuring the task can continue later without re-explaining everything.

Core Features & Use Cases

  • Pause-and-resume continuity: Saves a pending handoff with a clear task summary, detailed context, and a specific question so the AI can pick up later.
  • Automatic boot check: Detects pending handoffs at the start of every conversation and surfaces the full context to decide whether to resume.
  • Single active handoff state: Maintains only one outstanding handoff in a dedicated state file to prevent conflicting continuity.
  • Use case: You ask the AI to decide a product direction, but it needs your approval for the final question; it pauses, then resumes in the next chat with your answer.

Quick Start

Create a handoff by telling your AI to save a pending question with task, context, and resume instructions so you can reply in any future conversation.

Frequently Asked Questions about handoff

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

FAQPage Schema
How do I pause an AI agent workflow and resume it in a later conversation?▼

Conversation continuity works by saving pending task context and a user question into a single JSON state file. The assistant detects this handoff at boot-time to resume the work later.

What is state persistence for cross-channel conversational workflows?▼

State persistence for cross-channel workflows saves a pending task summary and resume instructions into a dedicated file. This allows an AI to stop for user input and continue the same work in a future chat.

How do I save context for an agent that needs user approval before proceeding?▼

To save context for an agent needing user approval, tell the AI to store a handoff with a task summary, detailed context, and a specific question. This holds the state until you reply in a new conversation.

Can I maintain multiple pending handoffs at the same time?▼

You cannot maintain multiple active handoffs simultaneously. The system enforces a single active handoff state in a dedicated JSON file to prevent conflicting continuity across conversations.

How does an AI detect a pending handoff when a new chat starts?▼

An AI detects a pending handoff through an automatic boot-time check that scans the JSON state file at the start of every conversation. This surfaces the full context to decide whether to resume.

Do I need specific frameworks to enable pause and resume continuity for messaging automation?▼

No specific frameworks are required to enable pause and resume continuity for messaging automation. The system relies on a mandatory root SKILL.md entry and CLI commands to manage the state file.

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