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  3. pbakaus/impeccable

pbakaus/impeccable

The design language that makes your AI harness better at design.

★ 67.8k▲ +216 / 7dDaily star increases over 14 days. Hollow bars mean no data. The last day may be partial.2026-09-03 no data2026-09-04 +832026-09-05 +882026-09-06 +842026-09-07 +172026-09-08 no data2026-09-09 +72026-09-10 +152026-09-11 +562026-09-12 +642026-09-13 +402026-09-14 no data2026-09-15 +242026-09-16 +15largest one-day increase in the 14 days+88last 14 days · stars per dayhollow = no data

RANKS All-time #83 · Rising 7d #50 · Rising 30d #34

AT A GLANCE

LANGUAGE
JavaScript
LICENSE
Apache-2.0
USAGE
Commercial use, redistribution OK. Keep notices; mark changes.
ACTIVITY
last commit 5 days ago ()
HOMEPAGE
https://impeccable.style
REPOSITORY
GitHub ↗
CATEGORY
AI

A summary, not legal advice.

README EXCERPT

Impeccable Design guidance for AI coding agents. 1 skill, 23 commands, live browser iteration, and 61 deterministic detector rules for AI-generated frontend design. Quick start: From your project root, run npx impeccable install , then run /impeccable init inside your AI coding tool. Full docs: impeccable.style. Why Impeccable? Anthropic's frontend-design was the first widely-used design skill for Claude. Impeccable started from there. Every model trained on the same SaaS templates. Skip the guidance and you get the same handful of tells on every project: Inter for everything, purple-to-blue gradients, cards nested in cards, gray text on colored backgrounds, the rounded-square icon tile above every heading. Impeccable adds: - One setup flow. /impeccable init records durable product truth in PRODUCT.md , so later commands know the audience, purpose, operating context, constraints, voice, and evidence without confusing those facts with surface-level visual direction. - 23 commands. A shared design vocabulary with your AI: polish , audit , critique , distill , animate , bolder , quieter , and more. - 61 deterministic detector rules plus LLM-only critique checks. The CLI and browser ex…

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TIMELINE

  1. Repository created
  2. Last push
  3. FIRST SEEN BY TESIGN

AI chooses the lists under the owner’s delegation. No human review is running in September 2026. Total stars, increases, cross-source signals, last updates and licences are shown as evidence. How ranks work →

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