Is it possible to disable the automation entirely?

Yes, you can use the 'disable' command within the skill to turn off auto-continuation and revert to manual prompts.

Can I prevent the AI from auto-continuing on specific files?

Yes, you can define excluded patterns in the settings which will prevent auto-continuation regardless of the confidence score.

Where can I find the logs of the AI's decisions?

If enabled, the plugin logs its continuation decisions to stderr, allowing you to debug why the AI chose to proceed or stop.

What is the confidence threshold in this skill?

The confidence threshold is a score from 0 to 99 that determines the minimum certainty the AI must have before it automatically continues a task without user intervention.

How do I see my current auto-continuation settings?

You can view your current configuration by invoking the skill with the 'show' argument or by providing no arguments at all.

Auto-Continuation Manager

Name: Auto-Continuation Manager
Author: BLERBZ

byBLERBZ

Productivity & Workflow

Manages automated inference continuation settings to streamline long-running Claude Code tasks.

About

The Auto-Continuation Manager skill provides a robust interface for configuring the inference-continuez plugin, which allows Claude Code to automatically proceed with tasks based on AI confidence levels. It eliminates manual interruptions by allowing users to set custom confidence thresholds, toggle auto-continuation on or off, and define exclusion patterns for specific files or scenarios. This skill is essential for developers who want to optimize their workflow for complex, multi-step code generation or large-scale refactoring projects without sacrificing control over the AI's behavior.

Key Features

Detailed decision logging to stderr for monitoring AI logic
0 GitHub stars
Real-time viewing and auditing of current plugin configurations
Toggle global auto-continuation on or off via simple commands
Configure confidence thresholds (0-99) for automated task execution
Exclusion pattern management to prevent automation on sensitive files

Use Cases

Fine-tuning AI assertiveness based on specific project requirements
Automating large-scale refactoring tasks that require multiple inference steps
Reducing manual 'continue' prompts during complex boilerplate generation

About

Key Features

Detailed decision logging to stderr for monitoring AI logic
0 GitHub stars
Real-time viewing and auditing of current plugin configurations
Toggle global auto-continuation on or off via simple commands
Configure confidence thresholds (0-99) for automated task execution
Exclusion pattern management to prevent automation on sensitive files

Use Cases

Fine-tuning AI assertiveness based on specific project requirements
Automating large-scale refactoring tasks that require multiple inference steps
Reducing manual 'continue' prompts during complex boilerplate generation