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decision-prompt-builder

Generate tailored decision prompts framed as trade-offs at modeling gates.

Updated Jul 6, 2026
Search Tags:#decision-making#trade-off analysis#prompt generation#human-centered AI#modeling support
One-click install
npx skills add https://github.com/echo-ice/mathmodeling-ssl --skill decision-prompt-builder-echo-ice
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: decision-prompt-builder
Source: https://github.com/echo-ice/mathmodeling-ssl/tree/main/.codex/skills/decision-prompt-builder
Command: npx skills add https://github.com/echo-ice/mathmodeling-ssl --skill decision-prompt-builder-echo-ice

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill facilitates a human-centric decision-making process by prompting users with key questions, ensuring that the final decisions are made by the human modeler, not the AI.

Core Features & Use Cases

  • Prompt Generation: Generates tailored questions that guide human modelers through judgment points.
  • Trade-off Framing: Encourages human judgment by presenting options as trade-offs, not as pre-selected answers.
  • AI Assisted: Provides assistance after the human provides their decision, helping to evaluate consequences.
  • Use Case: During model selection, the AI suggests two methods with their trade-offs, prompting the modeler to choose and justify their decision.

Quick Start

To generate decision prompts for a method selection gate, use the 'decision-prompt-builder' skill.

Frequently Asked Questions about decision-prompt-builder

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

FAQPage Schema
How do I generate decision-making prompts for model selection gates?▼

To generate decision-making prompts for model selection gates, use a human-centered approach that frames options as trade-offs, requiring you to answer key questions before receiving AI suggestions to ensure you retain final judgment control.

What is trade-off analysis in human-centered AI modeling?▼

Trade-off analysis in human-centered AI modeling presents options with their respective consequences instead of pre-selected answers, prompting the human modeler to actively choose and justify decisions at critical modeling gates before AI assistance is provided.

How do I ensure human-centric decision-making when using AI for modeling support?▼

Human-centric decision-making is ensured by requiring the modeler to answer tailored questions at key modeling gates before the AI provides suggestions, preventing the AI from autonomously executing decisions without human input.

Can I use decision-prompt-builder without a session configuration file?▼

No, using decision-prompt-builder requires a planning/session_config.json file for mode control, along with context from problem parsing and classification to properly generate tailored decision prompts.

When do I need to use prompt generation for trade-off analysis?▼

Prompt generation for trade-off analysis is needed during key modeling gates, such as method selection, where the AI suggests multiple approaches with their trade-offs and prompts you to choose and justify your decision.

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