ls-decision-tree-workflow

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

3|2|Updated Dec 25, 2025
One-click install
npx skills add https://github.com/CruxExperts/localsetup --skill ls-decision-tree-workflow
Or copy as Structured Prompt for Agent
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.