In the Skill's Own Terms
A rendered-page design audit with a source-fix loop. It uses Aside or gstack’s headless browser to inspect pages at 375, 768 and 1440 pixels, grades ten categories, then applies focused source changes with one commit per fix and before-and-after verification. It needs a clean working tree and a usable browser path.
Standard depth covers 5-8 pages; a feature branch without a URL selects diff-aware scope. Reports include a weighted Design Score and a separate AI Slop Score. These are rubric-based judgments, not measured user outcomes. The separate design detector runs only when available and enabled; its hits require rendered confirmation.
What it produces
- A structured markdown audit report in the run directory.
- A design-baseline.json file written for regression comparison on later runs.
- Before and after screenshot pairs for every applied fix.
- An optional DESIGN.md written from the extracted observations, if the user accepts the Phase 2 offer.
How It Works
- 01React Before You Analyze
Phase 1 opens the target and takes a full-page desktop screenshot, then writes a structured first impression naming what the eye goes to first.
- 02Extract the Rendered System
Phase 2 probes fonts, colors, heading scale and touch targets inside the page, then offers to save the findings as a DESIGN.md.
- 03Audit Page by Page
Phase 3 runs a console hook, interactive snapshot and annotated screenshot per page, then repeats at three viewport widths.
- 04Feel the Flows
Walk 2-3 user flows and inspect state changes, delays and recovery. The goodwill meter is an explicitly heuristic way to organize observations, not participant research or a measured satisfaction score.
- 05Fix One Finding at a Time
Phase 8 makes the minimal change, commits it alone, and re-tests before moving to the next finding.
- 06Score Two Headlines
The design score is a weighted average across ten categories, while the AI slop grade stands on its own.