learn-ie-question

Name: learn-ie-question
Availability: InStock
Author: novel-jp

Structure ambiguous decisions into questions and record final answers.

Updated Mar 12, 2026

Search Tags:#decision making #knowledge capture #mentoring #tradeoff analysis #question management #intent engineering #dr documentation

Ready to run

npx skills add https://github.com/novel-jp/projsight-plugin --skill learn-ie-question

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: learn-ie-question
Source: https://github.com/novel-jp/projsight-plugin/tree/main/skills/learn-ie-question
Command: npx skills add https://github.com/novel-jp/projsight-plugin --skill learn-ie-question

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps users turn unclear decisions into structured questions, guide the discussion that resolves them, and preserve the final conclusion for future reference.

Core Features & Use Cases

Question Structuring: Convert an ambiguous project concern into a concise, decision-ready question with context and assumptions.
Guided Discussion: Capture back-and-forth comments to surface trade-offs, test hypotheses, and narrow down the right answer.
Decision Memory: Record the final answer and decide when the outcome should be promoted into a durable DR for the team.
Use Case: A learner debating whether to use SQLite or JSON for local persistence can document the uncertainty, compare options, and close the loop with a recorded decision.

Quick Start

Use the learn-ie-question skill to convert one unresolved project decision into a structured question, discuss it briefly, and record the final answer.

Frequently Asked Questions about learn-ie-question

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

FAQPage Schema

How do I structure ambiguous project decisions into clear questions?▼

To structure ambiguous project decisions, you convert unclear concerns into concise, decision-ready questions by defining context and assumptions. This captures the necessary framing to guide technical trade-off reviews and priority decisions effectively.

What is the best way to capture and document technical trade-off discussions?▼

The best way to capture technical trade-off discussions is through comment-based debate within a guided decision workflow. This records back-and-forth comments to surface trade-offs, test hypotheses, and narrow down the right answer for later reference.

Can I use this for mentoring and guiding learner inquiry?▼

Yes, you can use this for mentoring and guiding learner inquiry. It supports mentor-guided inquiry where a 30-minute conclusion is realistic, allowing learners to document uncertainty, compare options, and close the loop with a recorded decision.

How do I log final answers and promote them to a Decision Record?▼

You log final answers by recording the outcome within the decision workflow, which then recommends when the outcome should be promoted into a durable Decision Record (DR) for the team to preserve the conclusion for future reference.

When should I not use a guided decision workflow for question management?▼

You should not use a guided decision workflow for question management when a quick 30-minute conclusion is unrealistic. It is designed for project planning, technical trade-off reviews, and priority decisions, not for unbounded or open-ended debates.