question-framing

Name: question-framing
Availability: InStock
Author: ai-analyst-lab

Frame analytical questions with decision context and success criteria.

21|11|Updated Mar 15, 2026

Search Tags:#workflow #data-analysis #framing #success-criteria #analytical-questions #decision-context

Ready to run

npx skills add https://github.com/ai-analyst-lab/ai-analyst-plugin --skill question-framing

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: question-framing
Source: https://github.com/ai-analyst-lab/ai-analyst-plugin/tree/main/skills/question-framing
Command: npx skills add https://github.com/ai-analyst-lab/ai-analyst-plugin --skill question-framing

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Frames analytical questions with decision context and success criteria to improve clarity and alignment in data analysis workflows.

Core Features & Use Cases

Embedded into ask-question and run-analysis; automatically handles framing of questions within the workflow.
Ensures decision context and success criteria are captured to guide analysis and decision-making.
Reduces ambiguity and rework by providing a consistent framing mechanism across projects.

Quick Start

Ask the system to frame your analytical question within the decision context and the desired success criteria.

Frequently Asked Questions about question-framing

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

FAQPage Schema

How do I frame analytical questions to include decision context and success criteria?▼

Framing analytical questions requires capturing the decision context and defining specific success criteria to guide hypothesis testing. This ensures precise metrics are established to guide data analysis workflows and reduce ambiguity.

Why does my data analysis workflow suffer from ambiguous questions and rework?▼

Data analysis workflows suffer rework when analytical questions lack consistent framing mechanisms. Capturing decision context and success criteria upfront reduces ambiguity by providing a consistent structure across projects.

What is the best way to define metrics and success criteria for hypothesis testing?▼

Defining metrics for hypothesis testing involves framing analytical questions within the specific decision context. Establishing precise success criteria guides the analysis and ensures decision making aligns with desired outcomes.

Can I embed question framing automatically within an ask-question and run-analysis workflow?▼

Yes, question framing can be embedded directly into ask-question and run-analysis workflows. The system automatically handles framing and propagates framing decisions to ensure decision context is captured throughout data analysis.

Does framing analytical questions work without dependencies for data analytics projects?▼

Yes, framing analytical questions works without dependencies. It applies to data analytics workflows requiring precise questions and metrics, satisfying integration natively without needing external components or setup.

When should I not use structured question framing for data analysis?▼

Structured question framing is not necessary for data analysis tasks lacking a decision context or clear success criteria. If a workflow does not require precise metrics or hypothesis testing, manual framing may suffice.