Render the UI and prove it's balanced + usable: a deterministic layout audit (centroid / optical-center / pixel-oracle balance via explicit math + annotated screenshot) plus a vision-judged Nielsen usability audit by a separate fresh-eyes judge. The measurement layer taste-only design skills lack.
Scanned 9/3/2026
Install to Claude Code
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---
name: deterministic-design
description: "Render the UI and prove it's balanced + usable: a deterministic layout audit (centroid / optical-center / pixel-oracle balance via explicit math + annotated screenshot) plus a vision-judged Nielsen usability audit by a separate fresh-eyes judge. The measurement layer taste-only design skills lack."
risk: safe
source: community
source_type: community
source_repo: connerkward/deterministic-design-skill
date_added: "2026-06-16"
author: Conner K Ward
license: MIT
tags:
- design
- layout
- usability
- audit
- verification
- vision
tools:
- claude-code
- antigravity
- cursor
- gemini-cli
- codex-cli
---
## When to Use
Use to catch AI-generated UI that "looks off", is misaligned or centered-mush, or fails usability — when you need to PROVE a layout is balanced and usable instead of trusting the model's eye. Compose it with any taste/token design skill before reporting design "done".
_Source: [connerkward/deterministic-design-skill](https://github.com/connerkward/deterministic-design-skill) (MIT)._
# deterministic-design
Thesis: **determinism beats AI randomness.** A model can't trust its own eye on layout — so
don't. Render the UI and *measure* it.
Two sub-skills (load as needed):
- **[design-spatial](https://github.com/connerkward/deterministic-design-skill/blob/main/design-spatial/SKILL.md)** — deterministic layout audit: explicit grid
+ 8-pt spacing, and `layout-audit.js` computes centroid / optical-center / pixel-oracle
balance and draws an annotated screenshot. **Numbers, not vibes.** Plus a render-then-
critique vision loop.
- **[design-ux](https://github.com/connerkward/deterministic-design-skill/blob/main/design-ux/SKILL.md)** — usability audit: scores the rendered UI against
Nielsen's 10 + interaction heuristics via a SEPARATE fresh-eyes judge → prioritized fix list.
This **improves** existing design skills (including the default Anthropic one) by adding the
layer they lack — it doesn't just advise on taste, it renders, measures, and judges the
output. Composable with any design skill.
In central this lives as a subdir of ckw-design; it **publishes separately** as
`deterministic-design-skill` (its own distribution) via publish-skill. One of the two
flagship narratives — the *determinism* one; its sibling is human-in-the-loop (lookdev).
## Limitations
- Layout metrics and vision-judged audits catch many spatial and usability failures, but they are not a substitute for product judgment or user testing.
- The workflow requires a rendered UI or screenshot; it cannot validate components that have not been built or captured.
- Automated scoring can miss brand nuance, copy tone, accessibility needs, and domain-specific user expectations.

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