bk-next

Locates and resumes paused BlueKiwi workflow tasks via natural language or commands.

22|17|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/dandacompany/bluekiwi --skill bk-next
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bk-next
Source: https://github.com/dandacompany/bluekiwi/tree/main/packages/cli/src/assets/skills/bk-next
Command: npx skills add https://github.com/dandacompany/bluekiwi --skill bk-next

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables users to quickly find and resume ongoing BlueKiwi tasks, eliminating manual revisiting or confusion about task states.

Core Features & Use Cases

  • Task Resumption: Detects active tasks and resumes from the current step based on natural language commands or specific slash commands.
  • Workflow Continuation: Supports re-engagement with long-running or paused workflows without manual navigation.
  • Use Case: When a user says "계속" or "/bk-next", it identifies the task and resumes execution smoothly, saving time and effort.

Quick Start

Simply say "next" or "/bk-next" to continue a paused or running task in your BlueKiwi workflow.

Frequently Asked Questions about bk-next

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

FAQPage Schema
How do I resume an interrupted AI workflow task without losing my current progress?

You can resume an interrupted AI workflow task by issuing natural language triggers or specific slash commands, which automatically locate your active task and re-engage the process exactly where it paused.

What natural commands can I use to continue a paused workflow step?

You can continue a paused workflow step by simply saying "next" or using the "/bk-next" slash command. These triggers query the current task state and resume execution smoothly with minimal user intervention.

How does task state detection work when re-engaging long-running AI agents?

Task state detection for long-running AI agents works by querying the workflow's current status and identifying the exact step where execution was paused. This mechanism enables seamless continuation without manual navigation or revisiting previous steps.

Can I use natural language triggers to re-engage paused workflows across different sessions?

Yes, you can use natural language triggers to re-engage paused workflows across different sessions. The interface handles session boundaries by querying current task states and resuming the workflow at the correct step automatically.

What is the best way to manage task continuity for long-running automation workflows?

The best way to manage task continuity for long-running automation workflows is using command-based resumption mechanisms that detect active task states and seamlessly continue execution from the exact interruption point, eliminating manual state tracking.