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plan-tune

Tune AskUserQuestion prompts in gstack to honor per-question preferences.

Updated Jun 18, 2026
Search Tags:#user-profile#gstack#question-tuning#plan-tune#adaptive-prompts#interactive-planning
One-click install
npx skills add https://github.com/abhishekmmgn/didactic-invention --skill plan-tune-abhishekmmgn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: plan-tune
Source: https://github.com/abhishekmmgn/didactic-invention/tree/main/.agents/skills/gstack/plan-tune
Command: npx skills add https://github.com/abhishekmmgn/didactic-invention --skill plan-tune-abhishekmmgn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps automatically adapt AskUserQuestion prompts in gstack to align with user preferences and developer psychographics, reducing friction and unnecessary questions.

Core Features & Use Cases

  • Adaptive tuning: adjusts per-question sensitivity and frequency based on user vibe vs declared profile, improving responsiveness.
  • Profile-consistency checks: compares what the user declared with observed behavior to minimize irrelevant prompts.
  • Plan-mode safety: provides deterministic execution in plan mode with explicit fallbacks and runtime markers.

Quick Start

Tune the gstack AskUserQuestion prompts to respect my preferred question-tuning settings.

Frequently Asked Questions about plan-tune

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

FAQPage Schema
How do I tune interactive prompts to respect user preferences in gstack?▼

You can tune interactive prompts by applying adaptive per-question sensitivity adjustments that align AskUserQuestion behavior with declared user profiles, reducing unnecessary friction during gstack sessions.

What is adaptive question tuning for developer psychographics?▼

Adaptive question tuning adjusts prompt frequency and sensitivity by comparing a user's declared profile against their observed behavior, minimizing irrelevant prompts to match developer psychology.

How do I ensure deterministic behavior for interactive prompts in plan mode?▼

Deterministic behavior is ensured by reading configuration files, enforcing proactive limits, and using shell-based tooling for updates with explicit fallbacks and runtime markers during plan mode execution.

Can I apply profile-consistency checks across multiple gstack skills?▼

Yes, profile-consistency checks can be applied across gstack skills during interactive sessions to compare declared preferences with observed behavior and minimize irrelevant prompts.

What are the limitations of automated prompt tuning in interactive sessions?▼

Automated prompt tuning requires reading configuration settings and enforcing proactive limits to maintain deterministic behavior, relying on shell-based tooling for updates rather than dynamic runtime inference.

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