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plan-tune

Configure AI question sensitivity and interaction preferences in gstack.

Updated Jul 26, 2026
Search Tags:#workflow#personalization#configuration#developer-experience#gstack
One-click install
npx skills add https://github.com/yocxy2/gstack3 --skill plan-tune-yocxy2
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: plan-tune
Source: https://github.com/yocxy2/gstack3/tree/main/plan-tune
Command: npx skills add https://github.com/yocxy2/gstack3 --skill plan-tune-yocxy2

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the friction of repetitive or unwanted AI questions, allowing developers to calibrate the frequency and style of interaction to match their specific workflow needs.

Core Features & Use Cases

  • Question Sensitivity Tuning: Adjust how often the AI asks for confirmation or clarification, ranging from never-ask to always-ask.
  • Developer Profiling: Inspects the dual-track profile of declared preferences versus observed behavior to optimize future interactions.
  • Proactive Management: Enables or disables proactive skill suggestions and telemetry based on user comfort and project requirements.

Quick Start

Invoke the plan-tune skill to review your current question settings and adjust your developer profile preferences.

Frequently Asked Questions about plan-tune

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

FAQPage Schema
How do I stop the AI from asking for confirmation every time during my engineering workflow?▼

To stop the AI from asking for confirmation, you can tune question sensitivity settings within the gstack environment. This skill manages developer-specific interaction preferences, allowing you to configure proactive AI behavior and set conversational style levels to minimize interruptions.

How does developer profiling for AI personalization work?▼

Developer profiling for AI personalization works by inspecting a dual-track profile of declared preferences versus observed behavior. This mechanism optimizes future interactions by aligning proactive skill suggestions and conversational style with your actual engineering workflow patterns.

Can I disable proactive AI suggestions and telemetry for my project?▼

Yes, you can disable proactive AI suggestions and telemetry for your project. Proactive management configuration allows you to enable or disable these features, ensuring developer comfort and aligning AI assistance with your specific workflow.

Does AI interaction preference configuration persist across sessions?▼

Yes, AI interaction preference configuration persists across sessions by coordinating state persistence. This ensures consistent, personalized AI assistance throughout your engineering workflows without needing to recalibrate question sensitivity or conversational styles each time.

What is the best way to configure conversational style levels for AI assistance?▼

The best way to configure conversational style levels is by invoking interaction preference management within the gstack environment. This facilitates adjusting developer profiles and question sensitivity settings to match your specific workflow needs and project requirements.

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