Install
$ agentstack add skill-bestdeejay-design-agent-skills-frontend-perfection ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
frontend-perfection
Audit and polish a frontend — static HTML/CSS/JS or a built SPA — towards verifiable perfection. The skill exists because production web perf tooling commonly breaks when it pokes at private APIs (Playwright internals, old Lighthouse signatures, unisolated global deps). This skill runs on STABLE apis only, computes exactly (luminance, not eyeballs), and demands a before/after report bound to audit ids.
When to use
- User asks to "make the layout perfect", "fix performance", "reach
100/100/100/100", "check the frontend", "audit the page".
- User wants an OG image or social share meta for a homepage.
- User reports contrast problems, missing SEO tags, broken anchors under a
fixed header, colors duplicated as raw hex.
Workflow
- Locate the project — static files (index.html + css/) or built SPA.
- Serve it locally if needed:
python3 -m http.server 8377(or the
project's dev server). Static files are fine over http://localhost.
- Run audit.js (Lighthouse, real Chrome):
``bash node scripts/audit.js --url http://localhost:8377/ --mobile --out lh-mobile.json node scripts/audit.js --url http://localhost:8377/ --desktop --out lh-desktop.json ` Default threshold is 100; exit 0 only when every measured category is at or above it. Add --only ` to iterate on one category.
- Run meta_audit.py (SEO/contrast/headings/tokens, offline):
``bash python3 scripts/meta_audit.py --html index.html --css main.css css/demo.css --out meta.json `` Exit 0 = no violations; exit 1 = violations found.
- Fix by audit id — every fix must reference the audit it closes
(e.g. audit.js color-contrast, meta_audit.py meta:description).
- Re-audit until green on both form factors. Only then call it done.
- Write the before/after report in the showcase format: input paths,
exact commands, real output, interpretation. Explicitly list what was deliberately NOT done.
audit.js — Lighthouse runner (stable API)
- Real Chrome via chrome-launcher (default channel = installed Chrome;
--no-headless to watch). No Playwright dependency, no private fields, no _ws_url transport hacks. CDP port comes from chrome.port (public).
- Lighthouse >= 13 support: module may export a namespace; the script
falls back to require("lighthouse").default automatically.
- Dependency isolation: modules resolve local
node_modules→NODE_PATH
→ npm root -g. The script explains how to install instead of dying with Cannot find module: ``bash npm i lighthouse chrome-launcher # in the script's dir # or globally: npm i -g lighthouse chrome-launcher && export NODE_PATH=$(npm root -g) ``
- Output: compact JSON (
--out) with per-category scores and only the
failed weighted audits (id, title, score, weight) — no 4000-line dump.
- Exit codes:
0all categories ≥ threshold,1below threshold,2runner error.
meta_audit.py — static audit (Python stdlib, offline)
Checks and their ids:
| id | what it verifies | |---|---| | meta:title / meta:title-length | title present, ≤ 60 chars | | meta:description / meta:description-length | description present, ≤ 160 chars | | meta:canonical | canonical link | | meta:og:*, meta:og:size | OG tags; image must declare 1200×630 (crop-safe) | | meta:twitter:card | twitter card tag | | meta:json-ld | any application/ld+json script | | meta:robots | not blocked with noindex/nofollow | | meta:sitemap-link | sitemap referenced | | headings:single-h1 | exactly one h1 | | headings:order | h1→h6 sequence, no level skips (h1→h3 is a violation) | | tokens:raw-hex | zero raw hex outside the token block (:root/tokens) | | contrast:wcag-aa | computed WCAG relative luminance, fg/bg pairs ≥ 4.5:1 | | adaptive:scroll-padding | fixed header ⇒ scroll-padding-top present | | adaptive:media-queries | responsive breakpoints exist for tablet widths |
Design tokens — "colors as constants"
For static projects WITHOUT a build system (plain HTML/CSS/JS), a minimal design system still applies:
- Every hex color must be declared once in the token block
(a :root { --color-*: ...; } layer or a dedicated tokens.css).
- Zero raw hex anywhere else — components reference
var(--color-*). meta_audit.pyflags any raw hex outside the token block; this is the
enforceable version of "no hardcoded colors".
- The same idea extends to type scale and spacing (custom properties), but
the audit enforces colors only.
OG image generation — crop-safe social share
Social networks crop images differently (WhatsApp square-ish, Facebook center-crop). The skill's rules, learned the hard way:
- Change the file name, never overwrite — social caches keyed by URL
will keep showing the old preview forever. New content ⇒ new URL (e.g. og-2026-08-09.png).
- Content must fit the central safe zone — standard 1200×630 canvas is
not enough: keep the hero/graphic content within ~600–640px centered width so a square/center crop (≈630×630) never clips text or logos.
- Force a reflow before the screenshot — after setting width via inline
style, the first screenshot() may capture the stale layout. Read void element.offsetHeight (or getBoundingClientRect()) to force layout sync, then shoot.
- Declare exact dimensions —
og:image:width/og:image:height=
1200/630 so scrapers don't guess and mis-trim.
- Re-test in 2+ networks after changing the URL (WhatsApp + Telegram at
minimum; they cache most aggressively).
Fixed-header anchoring
If position: fixed header exists, anchor jumps hide content underneath. Fix: html { scroll-padding-top: } (+ scroll-margin-top on the anchors if needed). meta_audit.py reports adaptive:scroll-padding when this is missing.
Constraints / non-goals
- audit.js opens a real Chrome; do not substitute CLI
lighthouse
headless-shell in the default call.
- Meta audit is offline and stdlib-only — no PyYAML, no requests.
- Do NOT fix with
!importantspray or target 100 by hiding audits: raise
the underlying metrics (real fix at the root).
- Do NOT delete or modify user tests/screenshots; artifacts go to
--out
files you name.
- Lighthouse scores on
localhostvs production differ (no CDN, no real
TLS); state this in the report when it matters.
Examples
Full loop on a static site:
cd ~/projects/lovii_demo
python3 -m http.server 8377 &
node .../audit.js --url http://localhost:8377/ --mobile --out lh-mobile.json
node .../audit.js --url http://localhost:8377/ --desktop --out lh-desktop.json
python3 .../meta_audit.py --html index.html --css main.css css/demo.css --out meta.json
Iterate on one category until green:
node .../audit.js --url http://localhost:8377/ --mobile --only accessibility
See references/canonical-patterns.md for the canonical sources this skill is aligned with, and the showcase in docs/showcase/showcase-frontend-perfection-lovii.md.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: bestdeejay-design
- Source: bestdeejay-design/agent-skills
- License: MIT
- Homepage: https://bestdeejay-design.github.io/agent-skills/
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.