ls-decision-tree-workflow

Guide users through a single-question-per-turn decision tree with options A-D.

3|2|Updated Dec 25, 2025

Search Tags:#workflow #context #requirements #prd #ai-assistant #decision-tree #reverse-prompt

Ready to run

npx skills add https://github.com/CruxExperts/localsetup --skill ls-decision-tree-workflow

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ls-decision-tree-workflow
Source: https://github.com/CruxExperts/localsetup/tree/main/_localsetup/skills/ls-decision-tree-workflow
Command: npx skills add https://github.com/CruxExperts/localsetup --skill ls-decision-tree-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a disciplined, turn-based decision-tree workflow that prompts users with a single question at a time, offering four options (A-D) and a rationale for the preferred choice to build clear context before implementation.

Core Features & Use Cases

One-question-per-turn flow with four options (A-D) and rationale for each choice.
Tracks the selected option and its rationale to document decisions and guide subsequent actions.
Ideal for refining requirements, drafting PRDs, and resolving design trade-offs with structured Q&A.

Quick Start

Initiate the decision tree by prompting the user with the first question and presenting options A–D with rationale.

Frequently Asked Questions about ls-decision-tree-workflow

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

FAQPage Schema

How do I use a decision tree to collect context before writing a PRD?▼

To use a decision tree for PRD context collection, the workflow prompts you with a single question per turn offering four options (A-D) with rationale. It tracks your selected option and reasoning to build structured context before implementation.

What is the best way to resolve design trade-offs through structured Q&A?▼

Resolving design trade-offs through structured Q&A is done by enforcing a one-question-per-turn flow with four options (A-D). This disciplined approach tracks preferred choices and rationale to document decisions and guide subsequent design actions.

Can I refine requirements by answering one question at a time with four options?▼

You can refine requirements by answering one question at a time. The workflow presents four options (A-D) per turn, capturing your preferred option and its rationale to systematically build clear context for your requirements.

Does the decision tree workflow track the rationale for each selected option?▼

The decision tree workflow tracks the selected option and its rationale for each turn. This documents decisions made during the structured Q&A process and guides subsequent actions for refining requirements or drafting PRDs.

When do I need a turn-based decision tree for AI-assisted requirement gathering?▼

You need a turn-based decision tree for AI-assisted requirement gathering when you want to enforce disciplined, step-by-step context collection. It is ideal for refining requirements, creating PRDs, and resolving design trade-offs with structured single-question prompts.

Are there limitations to using a single-question-per-turn flow for context collection?▼

A limitation of the single-question-per-turn flow is that it enforces a strict, sequential pace for context collection, which may require multiple turns to gather full requirements compared to open-ended prompting methods.