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Skillv1.0.0

deterministic-design

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 us

by sickn33(0) 0 installs
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About

Imported from sickn33/agentic-awesome-skills (skills/deterministic-design/SKILL.md). Install upstream with npx skills add sickn33/agentic-awesome-skills --skill deterministic-design. Copyright stays with the author (MIT).

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 (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 — 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 — 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).

Example

User request:

Review this interface with @deterministic-design, identify the highest-impact design problems, and propose an implementation-ready improvement.

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.

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/sickn33-agentic-awesome-skills-deterministic-design/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

sickn33-agentic-awesome-skills-deterministic-design.ocm.jsonjson
{
  "ocm": "1",
  "id": "sickn33-agentic-awesome-skills-deterministic-design",
  "kind": "skill",
  "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.",
  "publisher": "sickn33",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "math"
    ],
    "tags": [
      "skill-md",
      "design",
      "layout",
      "usability",
      "audit",
      "verification",
      "vision",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "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."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/sickn33/agentic-awesome-skills",
      "path": "skills/deterministic-design/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/sickn33/agentic-awesome-skills/blob/HEAD/skills/deterministic-design/SKILL.md",
      "key": "sickn33/agentic-awesome-skills/skills/deterministic-design/SKILL.md"
    },
    "license": "MIT"
  },
  "instructions": "## When to Use\n\nUse 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\".\n\n_Source: [connerkward/deterministic-design-skill](https://github.com/connerkward/deterministic-design-skill) (MIT)._\n\n# deterministic-design\n\nThesis: **determinism beats AI randomness.** A model can't trust its own eye on layout — so\ndon't. Render the UI and *measure* it.\n\nTwo sub-skills (load as needed):\n- **[de",
  "cost": {
    "context_tokens": 567
  }
}

Fetch it by URL: GET /api/v1/registry/sickn33-agentic-awesome-skills-deterministic-design/manifest?version=1.0.0

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