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Design Psychology

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Fh-Ndiritu
design-psychology

Audit or build any website/UI against research-backed conversion and design-psychology principles (Hick's Law, Von Restorff, Goal Gradient, Peak-End, Fitts's Law, the Aha moment, loss aversion, social proof, feedforward, labor illusion, and ~50 more). Use when reviewing a live URL or a local codebase for conversion/UX quality, or when designing or editing any user-facing surface — landing pages, pricing, onboarding, CTAs, forms, empty states, error flows, mobile screens. Auto-detects whether the target is a live URL or local source files. Brand-agnostic: derives the product's own tokens and voice instead of imposing a fixed style.

Overview

PublisherFh-Ndiritu
Repositorydesign-psychology-skill
Skill namedesign-psychology
Stars
7
Forks
0
Bundled files
14
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 14 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Fh-Ndiritu on GitHub. Read the source before you install it.

Installation

Install the Design Psychology AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Fh-Ndiritu/design-psychology-skill/tree/main
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Fh-Ndiritu/design-psychology-skill.git \
  .claude/skills/design-psychology
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Design Psychology in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Design Psychology on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Design Psychology is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Design Psychology

A portable standard for making interfaces that convert on first contact, retain through genuine value, and feel premium — grounded in ~60 named cognitive principles. It runs in two modes against any website, regardless of stack or brand.

This file is the orchestrator. It tells you how to run. The depth lives in references/, loaded on demand. Do not paste an entire reference file into your reasoning unless the task needs it — pull the specific principle.


Two modes

ModeTriggerOutput
AUDIT"review / critique / score / improve this site/page/flow," a URL, a repo to evaluateA prioritized findings report with severity, the violated principle, the exact location, and one concrete fix per finding.
BUILD"design / build / write / redesign this screen / CTA / pricing / onboarding / empty state / error"The artifact itself (markup, copy, component) produced through the principles, plus a short rationale tying each major decision to a principle.

If the request is ambiguous, default to AUDIT when an existing surface is named, BUILD when a new artifact is requested. When both apply ("review and fix"), audit first, then build the fixes.


Step 0 — Detect the input source (always first)

  1. A URL is present → treat it as a live site. Capture what the user actually sees: use a screenshot/render tool if available (WebFetch for DOM + copy; a headless screenshot for layout/hierarchy/visual-quality judgments). Critique the rendered experience, not just the HTML. Note viewport: judge mobile and desktop separately — hierarchy that works on desktop routinely collapses on mobile.
  2. No URL, but you're in a repo / files are referenced → read the source. Find the user-facing templates (.html, .erb, .jsx/.tsx, .vue, .svelte, Blade, Twig, etc.), the stylesheet/token layer (CSS, Tailwind config, design tokens), and the copy. Critique the source as it will render.
  3. Both available → prefer the live URL for visual/hierarchy/perception judgments; use the source to locate the exact fix and to check tokens, defaults, and states (hover/focus/error/empty) that a single screenshot won't show.
  4. Neither → ask for one (a URL, a repo path, or a screenshot). Do not invent a target.

Always state which source you used and at which viewport.


Step 1 — Answer the Five Questions (gate for every surface)

Before auditing or building any single screen, answer all five. If you can't, you don't understand the screen yet — go look closer.

  1. Emotional state — what is the user feeling when they arrive here?
  2. Single action — what is the one thing they need to do?
  3. Perceived cost — what does that action feel like it costs, in effort, risk, and time?
  4. Worst realistic case — how does this hold up for a user who is stressed, rushed, on a small phone, mid-error?
  5. Memorable moment — what will they remember about this in a week?

These five reframe every later finding. A "low contrast button" matters because of Q4; a "buried CTA" matters because of Q2.


Step 2a — AUDIT workflow

  1. Frame the page's job. One screen, one primary action (Step 1, Q2). Run the squint test: blur the page — does the single most important element dominate? If not, that's finding #1.
  2. Sweep the ten dimensions. Walk each reference module against what's on screen. Don't quote the module — apply it. Each module ends with the failure modes that earn a finding.
  3. Score and prioritize. Use the severity rubric below. Lead with what costs conversions, not what offends taste.
  4. Write one fix per finding. Concrete and located: the element, the principle, the change. No finding without a fix.
  5. Run the audit-pass checklist. checklists/audit.md is the final gate before you report.

Severity rubric

SeverityDefinitionExamples
CriticalDirectly blocks or leaks conversion; breaks a core flow; or is a dark pattern that will cause backlash/chargebacks.No clear primary action; broken checkout; fake scarcity that resets; a "decline" that loops back.
HighMaterially depresses conversion or trust but the flow still works.Two competing accents (no Von Restorff anchor); CTA is a verb not an outcome; no social proof at the decision point; error states that blame the user.
MediumAdds friction or cognitive load; erodes the premium feel.Too many choices on one screen (Hick); inconsistent spacing scale; missing focus states; weak hierarchy.
LowPolish and delight; safe to defer.Missing a peak-moment micro-celebration; no easter-egg personality; sub-optimal but legible type scale.

Audit output format

## Design-psychology audit — <target> (<viewport/source>)

**Page job:** <one sentence — the single primary action>
**Five Questions:** <one line each, or a flag for any you couldn't answer>
**Squint test:** <pass/fail + what dominates>

### Findings (most costly first)
1. [CRITICAL] <Title> — <Principle>
   Where: <element / file:line / screenshot region>
   Why it costs: <the conversion/trust consequence>
   Fix: <one concrete change>
...

### What's already working
- <2–4 genuine strengths — never omit; it calibrates the critique>

### If you change one thing
<the single highest-leverage fix>

Step 2b — BUILD workflow

  1. Answer the Five Questions for the screen you're about to make. This sets the single action and the emotional register before any markup.
  2. Derive the brand's own design language — do not impose one. Read the existing tokens (colors, spacing scale, type, radius, motion) from the codebase or infer them from the live site. The visual language system gives you the grammar (one dominant accent, a surface ladder, glow-not-shadow depth, signature easing, component archetypes) — you fill it with their values. Never hardcode a specific hex or font; parameterize.
  3. Compose with the relevant modules. Pricing/upgrade → 01 + 09. Onboarding → 02 + 05 + 06. Forms → 02 + 06 + 08. Error/empty states → 04 + 07 + 09. Visual styling of any of them → 10.
  4. Enforce the non-negotiables (below) as you write.
  5. Run the build checklist. checklists/build.md.
  6. Hand back the artifact + a short rationale mapping each consequential decision to its principle, so the choice is auditable.

Non-negotiables (both modes)

  • One primary action per screen. Name it before placing or judging a single element. If you can't, the screen is broken.
  • CTAs are outcome statements, not verbs. "See your first result →" not "Submit."
  • Every default is a product decision — and must serve the user, never the business at the user's expense. A default that benefits the company at the user's cost is a dark pattern.
  • Every gate needs a real exit. Soft gates over hard blocks; a fake "decline" that loops is worse than none.
  • Design the worst moment as carefully as the best. Error and empty states get the same craft as the success state — users judge a product by its worst screen (Negativity Bias).
  • Honesty is structural, not optional. Module 09 overrides any conversion tactic that conflicts with it. Manufactured scarcity, fake social proof, hidden restrictions, and blame-the-user copy are bugs, not levers.
  • Accessibility is part of the standard. ≥44×44px (web) / 48dp (native) targets; visible focus states; never convey state by color alone; AA contrast on body text; honor prefers-reduced-motion.

On free tiers / trials: the source standard this skill is distilled from is for a paid-only product, so it forbids free tiers. That is a business-model stance, not a design law — when auditing or building for a product that legitimately uses a free tier or trial, keep the universal principle ("demonstrate the outcome before the commitment ask") and drop the paid-only rule. Don't flag a free trial as a violation.


The principle catalog

Every rule here traces to a named cognitive principle. references/00-principle-catalog.md is the flat lookup table — principle → one-line definition → primary module. Use it to (a) name the principle behind a finding precisely, and (b) jump to the module that elaborates it.


Calibrate to the ask

Scale the work to the request. "Quick gut-check on this CTA" → Five Questions + the one or two relevant modules. "Full conversion audit of our funnel" → every module, scored, screen by screen, with an exit-point analysis (Module 09: measure failure as rigorously as success). Don't deliver a 30-finding report for a one-button question, and don't deliver a one-liner for "audit our pricing."

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Design Psychology AI skill do?

Audit or build any website/UI against research-backed conversion and design-psychology principles (Hick's Law, Von Restorff, Goal Gradient, Peak-End, Fitts's Law, the Aha moment, loss aversion, social proof, feedforward, labor illusion, and ~50 more). Use when reviewing a live URL or a local codebase for conversion/UX quality, or when designing or editing any user-facing surface — landing pages, pricing, onboarding, CTAs, forms, empty states, error flows, mobile screens. Auto-detects whether the target is a live URL or local source files. Brand-agnostic: derives the product's own tokens and...

Why use Design Psychology on TypingMind?

Because you install it once and use it with any model. Design Psychology is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Design Psychology in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Fh-Ndiritu/design-psychology-skill/tree/main. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Design Psychology?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Design Psychology?

As many as you like. As long as a model supports skills, you can use Design Psychology with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Design Psychology AI skill free?

Yes. It is published on GitHub by Fh-Ndiritu under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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