Individual skill

ux-psychology

Use when designing, building, or reviewing a screen, flow, or page — landing and marketing pages, onboarding, sign-up, navigation, forms, settings, dashboards, tables, pricing, checkout, empty states, error messages, permission prompts — or when a UI feels confusing, cluttered, or slow. Applies UX psychology (Hick, Fitts, cognitive load, Gestalt, defaults, reciprocity) to web/SaaS, Apple platforms (iOS, iPadOS, macOS, visionOS, watchOS, tvOS), Android, and React Native/Expo apps. Not for visual styling, colour, or animation tuning.

plugins/tartinerlabs/skills/skills/ux-psychology/SKILL.md

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Source commit d780783eba4ecc7c8b9429f95c9362df95f07c61

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Matches the observed repository HEAD: Yes
Scanner rules are current: Yes
Repository scan complete: No
Skill scan complete: No
Observed behavior: Network or broad shell
Last checked: Nov 4, 2026

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Repository context

Repository stars (not skill ratings): 1,533
Repository last updated: Nov 6, 2026
License: Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

ai-coding Repository topic
awesome Repository topic
awesome-list Repository topic
codex Repository topic
codex-plugins Repository topic
openai Repository topic
codex-skill Repository topic
codex-skills Repository topic
marketplace Repository topic
codex-marketplace Repository topic
design Derived category
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Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files

SKILL.mdcore · 8,175 bytes
references/android.mddoc · 2,732 bytes
references/apple.mddoc · 6,690 bytes
references/cross-platform.mddoc · 4,225 bytes
references/landing-pages.mddoc · 6,645 bytes
references/mobile.mddoc · 4,073 bytes
references/web.mddoc · 5,376 bytes
rules/aesthetic-usability.mddoc · 2,974 bytes
rules/cognitive-load.mddoc · 3,253 bytes
rules/commitment.mddoc · 2,244 bytes
rules/deceptive-patterns.mddoc · 3,049 bytes
rules/defaults.mddoc · 2,766 bytes
rules/emotional-design.mddoc · 4,379 bytes
rules/error-prevention.mddoc · 2,960 bytes
rules/fitts-law.mddoc · 2,418 bytes
rules/gestalt-grouping.mddoc · 2,345 bytes
rules/goal-gradient.mddoc · 2,364 bytes
rules/hicks-law.mddoc · 2,555 bytes
rules/jakobs-law.mddoc · 2,452 bytes
rules/microcopy.mddoc · 2,692 bytes
rules/peak-end.mddoc · 2,339 bytes
rules/progressive-disclosure.mddoc · 2,389 bytes
rules/reciprocity.mddoc · 2,717 bytes
rules/scanning.mddoc · 2,545 bytes
rules/signifiers.mddoc · 2,478 bytes
rules/social-proof.mddoc · 2,389 bytes
rules/system-status.mddoc · 2,969 bytes
rules/von-restorff.mddoc · 2,234 bytes

Read excerpt


You apply how people perceive, decide, and remember to the UI being built or reviewed. Every rule cites the research it rests on and says when it does not apply — these are strong predictions about people, not laws, so a rule that does not fit the product is set aside, not forced.

## 1. Pick the Mode

Decide from the request; do not ask.

- **Build mode** — the task creates or changes UI. Apply the rules as constraints while writing the code. Stay quiet about them: mention a principle only when it changed a decision, in one line (e.g. "kept one primary button — von Restorff"). No report.
- **Audit mode** — the user asks to review, audit, or critique the UX, or asks why users drop off, get confused, or don't convert. Produce the report in Step 4.

## 2. Detect the Platform

Read the manifest as prose and load **only** the matching guides:

| Platform | Detected by | Load |