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ux

Run structured UX research sessions and codebase scans to generate YAML-frontmatted findings.

Updated Feb 19, 2026
Search Tags:#research#risk-management#ux#acceptance-criteria#mental-model#codebase-patterns
One-click install
npx skills add https://github.com/fall-out-bug/sdp_lab --skill ux-fall-out-bug
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ux
Source: https://github.com/fall-out-bug/sdp_lab/tree/main/.agents/skills/ux
Command: npx skills add https://github.com/fall-out-bug/sdp_lab --skill ux-fall-out-bug

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Structured UX research and codebase pattern analysis to uncover real user mental models, guiding design decisions and acceptance criteria.

Core Features & Use Cases

  • Phase 1: Listening Session (six diagnostic questions) to surface user context, Gulf of Execution, and accessibility considerations.
  • Phase 2: Autonomous Codebase Research to scan for existing patterns, accessibility considerations, and error-handling gaps.
  • Output: Structured UX findings that feed acceptance criteria and UX risk registers for design and development teams.

Quick Start

Provide a structured UX findings document for the feature by running phase 1 listening session and phase 2 codebase research.

Frequently Asked Questions about ux

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

FAQPage Schema
How do I automate UX research to uncover user mental models for a new feature?▼

Automated UX research scans listening session inputs and codebase patterns to surface user mental models, generating structured YAML-frontmattered docs with friction points, UX risks, and accessibility considerations.

What is the best way to connect UX findings to acceptance criteria and risk registers?▼

Structured UX findings map friction points and codebase patterns directly to acceptance criteria and a UX risk register, feeding design workflows and development teams through generated YAML-frontmattered documentation.

How does codebase pattern analysis improve UX research for user-facing features?▼

Codebase research scans existing patterns, accessibility considerations, and error-handling gaps to align user mental models with technical constraints, producing actionable UX insights for design initiatives.

Can I use structured UX research to identify accessibility gaps and friction points?▼

Structured UX research runs a diagnostic listening session and autonomous codebase scan to surface accessibility considerations, execution gaps, and friction points in a comprehensive risk register output.

What do I need to provide to start a structured UX research session?▼

You need a feature target for the listening session, which asks six diagnostic questions to surface user context, allowing the autonomous codebase research phase to generate structured UX findings.

When should I avoid automating UX research for design initiatives?▼

Automated UX research targets structured analysis of user-facing features and codebase patterns, so it is less suited for exploratory design phases lacking defined features or existing codebase architecture.

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