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plan-tune

Adjust question sensitivity and analyze developer psychographic profiles for cyberdart.

Updated Jun 4, 2026
Search Tags:#AI agent#developer profiling#AI tuning#psychographic analysis#question sensitivity
One-click install
npx skills add https://github.com/Manzueti/cyberdart --skill plan-tune-manzueti
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: plan-tune
Source: https://github.com/Manzueti/cyberdart/tree/main/plan-tune
Command: npx skills add https://github.com/Manzueti/cyberdart --skill plan-tune-manzueti

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires cyberdart-cli, userprofile-detection, question-tuning-library, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The Skill improves question sensitivity and psychographic analysis for cyberdart, allowing fine-tuning of question preferences and inspecting developer profiles.

Core Features & Use Cases

  • Question Sensitivity: Adjust question sensitivity for AI agents to better match developer expectations.
  • Psychographic Analysis: Provide insights into a developer's profile and behavior patterns.
  • Use Case: For instance, if a developer frequently requests that a particular question type not be asked, this Skill can automatically adjust the AI's behavior accordingly.

Quick Start

Use the plan-tune skill to review and adjust question sensitivity settings for cyberdart.

Frequently Asked Questions about plan-tune

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

FAQPage Schema
How do I adjust AI agent question sensitivity to match developer expectations?▼

AI agent question sensitivity is adjusted by tuning the agent's observational parameters to automatically filter or modify specific question types based on observed developer preferences and feedback.

What is developer psychographic analysis for AI agents?▼

Developer psychographic analysis is the process of profiling developer behavior patterns and preferences to provide insights into how they interact with and expect questions from AI agents.

Can I use plan-tune to inspect dual-track developer profiles for cyberdart?▼

Yes, you can use this Skill to analyze dual-track developer profiles within cyberdart, inspecting both behavioral patterns and psychographic data to refine AI agent interactions.

Does cyberdart-cli support automatic AI tuning for question preferences?▼

Cyberdart-cli supports automatic AI tuning by integrating with userprofile-detection and question-tuning-library dependencies to adjust question sensitivity dynamically based on developer profiles.

Why does my AI agent keep asking questions a developer has previously declined?▼

The AI agent lacks proper question sensitivity tuning, which this Skill addresses by analyzing developer psychographics and automatically adjusting the agent's behavior to respect stated preferences.

What is the best way to prevent unwanted question types in AI agent interactions?▼

The best way to prevent unwanted question types is to implement psychographic profiling and question sensitivity tuning, allowing the AI agent to automatically adapt its behavior to developer expectations.

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