plan-tune

Name: plan-tune
Availability: InStock
Author: KrismithReddy12

Configure interaction sensitivity and proactive behavior in the gstack AI engineering environment.

Updated Jul 29, 2026

Search Tags:#workflow #productivity #personalization #configuration #ai-agent #gstack

Ready to run

npx skills add https://github.com/KrismithReddy12/gstack --skill plan-tune-krismithreddy12

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: plan-tune
Source: https://github.com/KrismithReddy12/gstack/tree/main/plan-tune
Command: npx skills add https://github.com/KrismithReddy12/gstack --skill plan-tune-krismithreddy12

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill addresses the friction of repetitive AI questioning by allowing you to tune the sensitivity and frequency of prompts, ensuring the AI assistant matches your preferred level of guidance and interaction style.

Core Features & Use Cases

Question Sensitivity Tuning: Adjust how often the AI asks for confirmation or clarification, ranging from always-ask to never-ask.
Developer Profiling: Inspects your interaction history to balance your declared preferences with observed behavior.
Proactive Management: Enables or disables proactive suggestions for skill usage based on your current project context.

Quick Start

Invoke the plan-tune skill to show my profile and adjust my question sensitivity settings.

Frequently Asked Questions about plan-tune

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

FAQPage Schema

How do I reduce the frequency of AI confirmation prompts during my engineering workflow?▼

AI interaction personalization works by inspecting your interaction history to balance declared preferences with observed behavior. It implements state-based logic to track developer-specific preferences and session-specific configurations for optimized AI-assisted development.

Can I configure proactive skill suggestions based on my current project context?▼

Yes, you can configure proactive skill suggestions based on your current project context. Proactive management allows you to enable or disable suggestions for skill usage across diverse project contexts within the AI engineering environment.

Does the gstack environment support developer-specific telemetry and skill routing preferences?▼

The gstack environment supports developer-specific telemetry and skill routing preferences. It manages these configurations across diverse project contexts to optimize AI-assisted development and match individual interaction styles.

What are the limitations of tuning AI assistant question sensitivity to never-ask mode?▼

Setting question sensitivity to never-ask mode reduces repetitive AI questioning friction but may lead to the AI assistant executing actions without confirmation. This limits your ability to catch errors or clarify ambiguous instructions during the engineering workflow.