evo-auto-disable

Disable iEvo auto-evolution and preserve correction candidates for manual capture.

Updated May 17, 2026
One-click install
npx skills add https://github.com/ievo-ai/skills --skill evo-auto-disable
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: evo-auto-disable
Source: https://github.com/ievo-ai/skills/tree/main/plugins/ievo/skills/evo-auto-disable
Command: npx skills add https://github.com/ievo-ai/skills --skill evo-auto-disable

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill halts the automatic accumulation of user corrections during iEvo's evolution process, reverting to explicit manual correction capture for a more controlled experience.

Core Features & Use Cases

  • Stop Auto-Evolution: Disables auto-evolution mode for precise control over iEvo's evolution process.
  • Preserve Candidates: Retains previously parked candidates for review even after disabling.
  • Manual Capture: Allows for manual capture of corrections via /ievo:evo command.

Quick Start

Turn off auto-evolution with the command /ievo:evo-auto-disable.

Frequently Asked Questions about evo-auto-disable

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

FAQPage Schema
How do I disable automatic correction capture during the iEvo evolution process?

You can disable automatic correction capture during the iEvo evolution process by running the `/ievo:evo-auto-disable` command, which stops auto-evolution mode and transitions the system to manual control.

Does disabling auto-evolution delete previously captured correction candidates?

Disabling auto-evolution does not delete previously captured correction candidates; the system preserves all parked candidates for review even after transitioning from automatic to manual capture mode.

How do I manually capture code corrections after turning off auto-evolution?

To manually capture code corrections after disabling auto-evolution, use the `/ievo:evo` command, which allows you to explicitly control algorithm adjustments and record user corrections on demand.

Do I need a specific shell environment to halt automatic learning in iEvo?

Halting automatic learning requires a POSIX shell for file operations, or a Node.js fallback on non-POSIX platforms, ensuring the transition to manual correction capture works across different operating systems.

When should I switch from auto-evolution to manual correction capture?

You should switch from auto-evolution to manual correction capture when you need precise control over algorithm adjustments, allowing you to selectively review and apply code learning corrections rather than accumulating them automatically.

What is the difference between automatic learning and manual correction capture in iEvo?

Automatic learning continuously accumulates user corrections during the evolution process without explicit input, while manual correction capture requires you to explicitly record adjustments via commands, providing a more controlled code learning experience.