# Ui Review

> Review the UI of an EXISTING app (iOS or web) from its real rendered pixels plus its source. The looks half of the pre-ship audit; /ux-review is the works half. Use when asked to "review the design", "design audit", "how does this app look", "critique the UI", "why does this feel off", or to grade an app against its design system. Captures light+dark screenshots per core screen (simulator on iOS,…

- **Type:** Skill
- **Install:** `agentstack add skill-dndungu-agent-skills-ui-review`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [dndungu](https://agentstack.voostack.com/s/dndungu)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [dndungu](https://github.com/dndungu)
- **Source:** https://github.com/dndungu/agent-skills/tree/main/ui-review

## Install

```sh
agentstack add skill-dndungu-agent-skills-ui-review
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# ui-review — judge the pixels users actually see

Composes existing machinery: /ios-simulator or Playwright (capture),
ios-design/TASTE.md (the 15 beauty laws), web-design/WEB.md (the web delta),
ios-design/VERIFY.md (fresh-eyes protocol), /swiftui-craft or /web-craft
(source checklist). This skill orchestrates and reports; it never fixes.

Named for the UI/UX split everyone already knows: this skill judges what the
app LOOKS like, /ux-review judges how it WORKS, /journey-qa proves it runs.
"Review the design" routes here; if the complaint is about flows, taps, or
confusion rather than appearance, route to /ux-review instead.

## Step 0 — Read first

1. Resolve the target repo (`~/.claude/repo-map.md` if named). Locate the
   app target, its core screens (tab roots + the 2-3 deepest common
   flows), and any design system: `docs/design/*/DESIGN.md`, Theme/token
   files, project design skills. A system's own laws JOIN the TASTE.md
   laws as the rubric; no system → TASTE.md alone, and say so.
2. Read `~/.claude/skills/ios-design/TASTE.md` (the rubric) and skim the
   target's DESIGN.md laws if present.
3. Pick the lane and confirm the app runs.
   - **iOS lane**: simulator available, scheme known (project run skill or
     /run conventions).
   - **Web lane**: a dev server, a production build, or a deployed URL, plus
     Playwright (reuse the repo's if present — see
     web-design/RENDERER.md). The rubric gains `web-design/WEB.md`, and the
     source checklist becomes /web-craft rather than /swiftui-craft.
   If it cannot run, degrade honestly: source-only review plus any committed
   screenshots, and mark every pixel-law "NOT ASSESSED".

## Step 1 — Capture evidence (the ground truth)

4. **iOS**: boot a simulator (/ios-simulator), consistent device (iPhone
   Pro), `simctl status_bar` override (9:41, full battery). Launch the app.
   **Web**: start the server (or use the deployed URL) and drive Playwright
   with `colorScheme` set — that exercises `prefers-color-scheme`, the real
   mechanism, not a class toggle.
5. Screenshot every core screen in BOTH appearances. **iOS**: plus one
   Dynamic Type stress pass on the 2 densest screens. **Web**: capture the
   THREE-viewport matrix (390 / 1024 / 1440) x both schemes — responsive
   failure is invisible at a single width — plus a 400ms and 1500ms capture
   on the 2 heaviest screens to catch post-load layout shift.
   Name files `[-]-{light,dark}.png` in a scratch dir.
6. Real data beats empty accounts: if a seeded/demo state exists, use it;
   an empty-state-only review must say so.

## Step 2 — Audit (three lenses)

7. **Pixel lens (the core).** For each screen pair, a fresh-eyes subagent
   (VERIFY.md protocol: sees ONLY the PNGs + the rubric, never the source)
   audits against the TASTE.md laws — hue budget count, neutral dominance,
   pure-pole check, type channels/contrast ratio, tabular numerals,
   radii concentricity, density bimodality (dense-or-calm, flag the
   medium-medium slop zone), drama budget (name each screen's one dramatic
   surface — "none nameable" is a finding), plus the anti-pattern list.
   Verdict per screen: strongest law violations with locations.
8. **Source lens.** Run the /swiftui-craft checklist (iOS) or /web-craft
   plus the Vercel `web-interface-guidelines` skill if installed (web) over
   the UI code
   (spacing scale, weights, semantic colors/token discipline, widget
   rules if any). Hardcode audit is grep-backed, not impressionistic:
   `Color(hex:`, `Color(red:`, `.opacity(0.` and raw `.padding()`
   outside the token/Theme file are each counted findings (cite count +
   worst offenders file:line).
9. **Coherence lens.** Cross-check: does the rendered app match its own
   DESIGN.md laws and tokens? Divergence between stated system and shipped
   pixels is a first-class finding (cite both sides).

## Step 3 — Report (the deliverable; report-only)

10. Ranked findings, most severe first, each as:
    `[law] — evidence (screenshot name / file:line) — minimal fix — where
    the fix lands (Theme token / kit component / screen)` — the altitude
    rule: prefer one-token fixes that propagate.
11. Head the report with: an honest one-paragraph verdict ("how beautiful
    is this app, really"), the top 3 highest-leverage beauty wins, and a
    per-law scorecard (pass / fail / not-assessed — never silently skip).
12. Close with routes, do not execute them: fixes → /swiftui-craft
    (apply mode); redesign-level findings → /ios-design; theme-level →
    /skin-gallery; motion spec absent → note for DESIGN.md. Pairing note:
    this skill judges pixels; /ux-review judges the experience (taps,
    flows, habit ethics); /journey-qa proves function — the three
    together are the full pre-ship audit.

## Does not do

- Fix anything (report-only; routes above), design mockups (/ios-design),
  functional/journey QA (/journey-qa, /dogfood), App Store screenshot
  compliance (/app-store), performance.
- Praise inflation: a screen with no findings gets "clean under the
  15-law rubric", not superlatives. Findings a founder would dispute
  need the evidence inline.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [dndungu](https://github.com/dndungu)
- **Source:** [dndungu/agent-skills](https://github.com/dndungu/agent-skills)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-dndungu-agent-skills-ui-review
- Seller: https://agentstack.voostack.com/s/dndungu
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.
