Identify impactful cognitive biases affecting UX decisions and provide concrete actions.
npx skills add https://github.com/aram-m/uxcore --skill bob-aram-m
Please help me install this Agent Skill. Skill: bob Source: https://github.com/aram-m/uxcore/tree/main/skills/bob Command: npx skills add https://github.com/aram-m/uxcore --skill bob-aram-m
Cognitive bias and UX decision support tool that surfaces relevant biases from UX CORE and provides concrete, actionable guidance to improve user-facing product decisions.
Describe your UX challenge to Bob and request a bias brief with concrete actions.
High-intent search queries and answers about installing and using this skill.
You can identify cognitive biases affecting UX design by describing your product challenge to receive a bias brief referencing UX CORE data, surfacing up to five high-impact biases with tailored concrete actions for your scenario.
Yes, you can analyze cognitive bias for specific areas including onboarding, pricing, UI design, and copy. The analysis applies bias identification directly to these product decisions to provide targeted, actionable guidance.
The best way to start a bias analysis for a product decision is using the problem-first workflow: describe your UX challenge to generate a bias brief containing relevant biases, optional visual demos, and a watch-out section for risks.
In UX, bias-first design starts with a specific cognitive bias to apply proactively to design choices, while problem-first diagnosis starts with your UX challenge to surface relevant biases. Both workflows yield tailored actions and a watch-out section.
A single UX bias brief surfaces up to five high-impact cognitive biases. Each identified bias includes practical actions tailored to your specific scenario to directly improve user-facing product decisions.
No external dependencies are needed to surface cognitive bias risks. The analysis references internal UX CORE data directly to generate bias briefs and visual demos without requiring additional frameworks or setup.
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