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generate-behavior-questions

Generate frame-specific clarifying questions from Jira, Figma, Confluence, and Google Docs.

24|3|Updated Jul 17, 2025
Search Tags:#figma#questions#jira#generate#ux#frame#clarifications
One-click install
npx skills add https://github.com/bitovi/cascade-mcp --skill generate-behavior-questions
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: generate-behavior-questions
Source: https://github.com/bitovi/cascade-mcp/tree/main/plugins/cascade-mcp/skills/generate-behavior-questions
Command: npx skills add https://github.com/bitovi/cascade-mcp --skill generate-behavior-questions

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates the collection and synthesis of context from Jira epics, Figma frames, and related documents (Confluence and Google Docs) to surface frame-specific clarifying questions for feature reviews, reducing ambiguity and rework.

Core Features & Use Cases

  • Frame-specific question generation: identify ambiguities and edge-cases for each UI frame to guide design and implementation discussions.
  • Cross-content synthesis: integrate Jira, Confluence, Google Docs, and Figma annotations to produce cohesive, per-frame questions.
  • Iterative loading and parallel analysis: coordinate loading of relevant sources and parallel analysis of Figma frames to accelerate question discovery.
  • Use Case: During a feature kickoff, supply the Jira epic and linked design references to automatically generate a prioritized set of questions per frame for the design review.

Quick Start

Provide the Jira epic key, the Figma file URL, and any Confluence or Google Docs references to start generating frame-specific behavior questions.

Frequently Asked Questions about generate-behavior-questions

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

FAQPage Schema
How do I generate UX clarifying questions for specific Figma frames from a Jira epic?▼

Provide a Jira epic key, Figma file URL, and any Confluence or Google Docs links to generate frame-specific UX clarifying questions. The skill analyzes these sources to identify ambiguous UI behaviors and output targeted questions organized by frame.

What is the best way to surface edge cases and behavior questions across Figma and Confluence?▼

Cross-content synthesis integrates Jira epics, Figma frames, Confluence pages, and Google Docs to surface edge cases. It applies iterative content loading and parallel Figma frame analysis to ensure comprehensive coverage of required clarifications.

Can I use this to prepare for design reviews using Jira and Figma frames?▼

Yes, you can use this for design reviews. Supply a Jira epic and linked design references to automatically generate a prioritized set of per-frame clarifying questions, reducing ambiguity and rework during feature discussions.

What inputs do I need to start generating frame-specific behavior questions?▼

You need a Jira epic key, a Figma file URL, and any relevant Confluence or Google Docs references. These inputs allow the skill to load context iteratively and synthesize frame-aligned clarifying questions for feature kickoffs.

Does the skill analyze Figma frames in parallel when generating UX clarifications?▼

Yes, the skill applies parallel Figma frame analysis alongside iterative content loading. This coordinated approach accelerates question discovery and ensures comprehensive coverage of UI behavior ambiguities across all linked sources.

Why generate frame-specific questions instead of general feature questions for UX reviews?▼

Frame-specific questions identify ambiguities and edge-cases for each UI frame, guiding implementation discussions more precisely than general questions. This frame-aligned approach reduces ambiguity and rework by targeting exact design contexts.

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