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@blackbelt-technology/anti-slop-frontend

v0.5.4

Published

Pi skill — a mechanical, countable anti-slop checklist for AI-generated frontend. Catches the specific tells an undirected model defaults to (AI-purple, Inter-everywhere, em-dashes, div-based fake screenshots, eyebrow-per-section, Jane Doe / Acme data). A

Readme

@blackbelt-technology/anti-slop-frontend

A pi package — skill only, no tools — that catches the concrete signatures an undirected model emits when it tries to "look designed."

It is a flat, mechanical checklist: every rule is countable or binary, so you verify pass/fail instead of arguing taste. "It looks better" is not a check; eyebrow count > ceil(sections/3) is.

Generic: works in any React/Tailwind/shadcn (or plain HTML) project.

Install

pi install npm:@blackbelt-technology/anti-slop-frontend
# or try without installing:
pi -e npm:@blackbelt-technology/anti-slop-frontend

This registers:

  • Skill anti-slop-frontend — the AI-tell catalog (load via /skill:anti-slop-frontend). No tools, no commands.

What it catches

| Part | Scope | Examples | |------|-------|----------| | A — Universal | every surface, dashboards included | AI-purple glow, Inter-as-default, the em-dash ban, "Jane Doe / Acme / 99.99%" fake data, div-based fake screenshots, hand-rolled SVG icons, happy-path-only states, unmotivated motion | | B — Marketing only | landing / portfolio / about | hero discipline, eyebrow-per-section, equal-3-card rows, zigzag cap, bento rhythm, decoration/locale/scroll-cue strips, duplicate CTA intent |

Part B is skipped for product UI (dashboards, data tables, wizards, editors).

Every rule has an override path: when the brief explicitly asks for the "banned" thing, it is allowed — done with intent, not by default-reaching.

Relationship to frontend-mockup-loop

Separate, complementary skills:

| | frontend-mockup-loop | anti-slop-frontend | |---|---|---| | Shape | ground→contract→mockup→test→fix→learn loop | flat checklist | | Basis | cite an external public rule (Nielsen, WCAG, Laws of UX) | codified AI-tell catalog | | Authority | owns the hard gates (WCAG-AA, severity-4) | advisory only |

When both run: the loop's a11y floor and cite-a-source rule win; this skill feeds concrete failing items into the loop's FIX step and never overrides a gate.

Attribution

Adapted from Leonxlnx/taste-skill (design-taste-frontend, MIT). Distillation of its countable rules: stack-coupling (Next RSC / Motion / GSAP / next/font) removed, rules re-scoped into universal vs marketing-only, reframed as an advisory catalog. The upstream repo holds the full prose corpus and GSAP code skeletons.

License

MIT