ralph-cancel

Cancel an active Ralph loop by archiving its state file before deletion.

2|Updated Dec 28, 2024
One-click install
npx skills add https://github.com/shonenm/dotfiles --skill ralph-cancel-shonenm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ralph-cancel
Source: https://github.com/shonenm/dotfiles/tree/main/common/claude/.claude/skills/ralph-cancel
Command: npx skills add https://github.com/shonenm/dotfiles --skill ralph-cancel-shonenm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides a way to safely interrupt and clean up any running Ralph autonomous development loops.

Core Features & Use Cases

  • Graceful Interruption: Stops active Ralph loops by removing state and active files.
  • State Archiving: Saves the current state of the loop to an archive before deletion, preserving progress.
  • Use Case: If a Ralph loop is stuck in an infinite process or is no longer needed, you can use this Skill to cleanly shut it down without leaving orphaned processes or state files.

Quick Start

Use the ralph-cancel skill to stop the current Ralph loop.

Frequently Asked Questions about ralph-cancel

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

FAQPage Schema
How do I cancel an autonomous development loop that is stuck or no longer needed?

To cancel an autonomous development loop, you can use a cleanup process that identifies and archives the active state file before deletion. This ensures graceful interruption without leaving orphaned processes.

What is the best way to safely interrupt a long-running AI development process?

Safely interrupting a long-running AI development process involves archiving its current state file before removing active files. This controlled termination preserves your progress for potential future analysis or resumption.

How does state archiving work when stopping an active development loop?

State archiving works by saving the current state of the development loop to an archive directory before deleting the temporary active files. This mechanism preserves your progress and prevents data loss during cleanup.

Can I clean up orphaned state files without losing the current development progress?

Yes, you can clean up orphaned state files without losing progress by archiving the state file before deletion. This cleanup method ensures temporary active files are removed while preserving data for future analysis.

Why does an AI development loop leave temporary active files after it stops?

An AI development loop may leave temporary active files after it stops due to an ungraceful interruption or getting stuck in an infinite process. A dedicated cleanup skill is needed to identify and archive these files before deletion.

When do I need to use a state management cleanup script for my development loops?

You need to use a state management cleanup script when your development loop is stuck in an infinite process or is no longer needed. It provides a controlled termination mechanism to safely shut down the loop.