continue

Resume an AI-DLC workflow from its last saved checkpoint with restored context and rules.

2|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/mikev10/olympus --skill continue-mikev10
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: continue
Source: https://github.com/mikev10/olympus/tree/main/resources/skills/continue
Command: npx skills add https://github.com/mikev10/olympus --skill continue-mikev10

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill allows you to pick up an interrupted AI-DLC workflow exactly where you left off, ensuring continuity and preventing loss of progress.

Core Features & Use Cases

  • Workflow Resumption: Automatically detects and loads the state of an active AI-DLC workflow.
  • Context Restoration: Reconstructs the full context, including previous artifacts and behavioral rules.
  • Use Case: You started planning a new feature with /plan, but had to stop. Use this Skill to resume planning without having to re-explain your project or goals.

Quick Start

Use the continue skill to resume your last active workflow.

Frequently Asked Questions about continue

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

FAQPage Schema
How do I resume an interrupted AI-DLC workflow from a checkpoint?

Workflow continuity works by loading the last saved checkpoint to restore the full context and behavioral rules of an active AI-DLC pipeline. It automatically detects the prior state to reload all artifacts for seamless continuation.

Can I restore previous artifacts and stage-specific rules when resuming a development pipeline?

Yes, restoring previous artifacts and stage-specific rules is fully supported when resuming a development pipeline. The Skill ensures all prior context is loaded so you can continue complex pipelines without losing progress.

What is the best way to continue complex development pipelines after stopping?

The best way to continue complex development pipelines after stopping is by using the automatic checkpoint detection mechanism. This approach restores the full context of an active AI-DLC workflow exactly where you left off without re-explaining your project.

Does this workflow resumption approach support direct path input for loading checkpoints?

Yes, the workflow resumption approach supports direct path input for loading checkpoints. You can provide a specific checkpoint path manually to restore the full context and behavioral rules of your AI-DLC pipeline.

When do I need workflow orchestration to resume an active AI-DLC state?

You need workflow orchestration to resume an active AI-DLC state when you have an interrupted planning or development process. It ensures continuity by reconstructing the full context and preventing the loss of prior progress.