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Lighthouse

Skill darkroomengineering/cc-settings/skills/lighthouse

Lighthouse audit + improvement loop until targets met. Triggers "lighthouse", "page speed", "improve scores", "LCP", "CLS", "INP", "core web vitals". Repo-wide perf audits ("perf audit") go to /audit performance mode instead.From its SKILL.md

Install
npx -y skills add darkroomengineering/cc-settings --skill lighthouse

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

10.6 KB, as published. Nobody here has run it

Lighthouse Optimization Loop

Set a product-neutral scratch root once:

LIGHTHOUSE_DIR="${TMPDIR:-/tmp}/cc-settings-lighthouse"
mkdir -p "$LIGHTHOUSE_DIR"

Use the Chrome DevTools MCP only when the user configured it. Standalone Codex otherwise uses the Lighthouse CLI plus native/manual screenshots; if no visual capture path exists, stop before changing UI and report that visual regression verification is unavailable. This package does not auto-run unpinned registry MCP packages.

Method: 3 mobile + 3 desktop runs per audit, averaged for reliability. After each code change, re-audit and visually verify the page with the configured MCP or the stated manual fallback.


Setup

  1. Parse URL from $ARGUMENTS. If no URL, ask the user. Default: http://localhost:3000

  2. Verify prerequisites:

    lighthouse --version    # CLI must be installed for the batched 3x3 protocol
    

    If lighthouse is missing: npm install -g lighthouse Check whether the user configured the chrome-devtools MCP. Do not install or auto-run an unpinned registry MCP on their behalf.

  3. Create results directory:

    mkdir -p "$LIGHTHOUSE_DIR"
    
  4. Take baseline screenshots before any changes:

    • mcp__chrome-devtools__navigate_page (type: "url", url: <url>)
    • mcp__chrome-devtools__take_screenshot

    Describe the current layout, key elements, and visual state. This is your visual baseline — you will compare against it after every change to catch regressions.

  5. Confirm with user: Show the URL, confirm the dev server is running, ask if there are specific pages or routes to audit beyond the main URL.


Audit Protocol

Each audit consists of 3 mobile + 3 desktop runs, averaged per category.

Run the audits

# Mobile runs (Lighthouse default is mobile)
for i in 1 2 3; do
  lighthouse <url> \
    --output=json \
    --output-path="$LIGHTHOUSE_DIR/mobile-$i.json" \
    --chrome-flags="--headless --no-sandbox" \
    --only-categories=performance,accessibility,best-practices,seo \
    --quiet \
    2>/dev/null
done

# Desktop runs
for i in 1 2 3; do
  lighthouse <url> \
    --output=json \
    --output-path="$LIGHTHOUSE_DIR/desktop-$i.json" \
    --chrome-flags="--headless --no-sandbox" \
    --preset=desktop \
    --only-categories=performance,accessibility,best-practices,seo \
    --quiet \
    2>/dev/null
done

Extract scores

For each JSON result file:

cat "$LIGHTHOUSE_DIR/mobile-1.json" | \
  jq '{
    performance: (.categories.performance.score * 100),
    accessibility: (.categories.accessibility.score * 100),
    bestPractices: (.categories["best-practices"].score * 100),
    seo: (.categories.seo.score * 100)
  }'

Compute averages

Average the 3 runs per category for both mobile and desktop. Report as:

## Audit Results

| Category | Mobile (avg) | Desktop (avg) |
|----------|-------------|---------------|
| Performance | XX | XX |
| Accessibility | XX | XX |
| Best Practices | XX | XX |
| SEO | XX | XX |

Extract failing audits

From the JSON, find specific audits that failed or scored poorly:

cat "$LIGHTHOUSE_DIR/mobile-1.json" | \
  jq '.audits | to_entries[] | select(.value.score != null and .value.score < 0.9) | {id: .key, score: .value.score, title: .value.title, description: .value.displayValue}'

Sort by impact (lowest scores first). These drive the improvement loop.


Improvement Loop

Autonomous mode: to drive this loop turn-by-turn without re-prompting, set /goal mobile and desktop scores in all four categories meet their targets, or stop after 20 rounds. A goal evaluator (Haiku by default) reads the audit table after each turn and decides whether to continue. See /goal docs.

LOOP until all scores >= 90 or user interrupts:

  1. IDENTIFY the lowest-scoring category and its top failing audits
     - Read the Lighthouse audit details for specific recommendations
     - Cross-reference with the project's performance rules

  2. PLAN one targeted fix
     - Focus on the highest-impact failing audit
     - One fix at a time — never batch multiple unrelated changes
     - Common fixes by audit:
       • render-blocking-resources → async/defer scripts, inline critical CSS
       • largest-contentful-paint → priority attribute, preload, optimize image
       • cumulative-layout-shift → explicit dimensions, font-display
       • unused-javascript → dynamic imports, code splitting
       • uses-responsive-images → srcSet + sizes, `next/image` (satus) or `<picture>`/`vite-imagetools` (novus), proper dimensions
       • uses-text-compression → verify gzip/brotli enabled
       • image-size-responsive → width/height attributes
       • unminified-javascript → check build config
       • dom-size → reduce DOM nodes, virtualize lists
       • third-party-summary → defer/lazy-load third-party scripts
       • font-display → font-display: swap or optional
       • offscreen-images → loading="lazy" (NOT on above-fold/LCP images)

  3. IMPLEMENT the fix
     - Edit the relevant source files
     - Keep changes minimal and focused

  4. VERIFY BUILD
     - Run the project build to ensure no compilation errors
     - If TypeScript project: `tsc --noEmit` first

  5. VISUAL REGRESSION CHECK
     - `mcp__chrome-devtools__navigate_page` to the same URL
     - `mcp__chrome-devtools__take_screenshot`
     - Compare against the baseline screenshot:
       • Layout intact? (same general structure, no collapsed/missing sections)
       • Content visible? (text, images, interactive elements still present)
       • Styling correct? (colors, spacing, typography not broken)
       • Functionality preserved? (interactive elements still look clickable)
     - If regression detected: REVERT the change immediately and try a different approach
     - Also check critical user flows if the change affects interactive elements:
       - `mcp__chrome-devtools__take_snapshot` (a11y tree — confirms interactive elements are present, returns `uid`s)
       - `mcp__chrome-devtools__take_screenshot` (visual verification)

  6. RE-AUDIT
     - Run full audit protocol again (3 mobile + 3 desktop)
     - Compare against previous scores

  7. LOG RESULTS
     - Append to `$LIGHTHOUSE_DIR/results.tsv`:
       round	mobile_perf	desktop_perf	mobile_a11y	desktop_a11y	status	description
     - Status: "kept" (scores improved), "reverted" (regression or no improvement)

  8. REPORT
     - Show score delta: "Performance: 72 → 85 (+13)"
     - Show what was changed and why
     - Show the current failing audits for the next round

  9. CONTINUE to next round

Visual Regression Protocol

This is the critical safety net. Performance changes MUST NOT break the UI.

After every code change:

  1. Navigate: mcp__chrome-devtools__navigate_page (type: "url", url: <url>)
  2. Screenshot: mcp__chrome-devtools__take_screenshot
  3. Compare against baseline:
    • Is the page layout the same structure?
    • Are all visible elements still present?
    • Is text readable and properly styled?
    • Are images displaying correctly?
    • Are interactive elements (buttons, forms, nav) visually intact?

Regression = immediate revert

If any visual regression is detected:

  1. git checkout -- <changed-files> to revert
  2. Log status as "reverted (visual regression)" in results.tsv
  3. Try an alternative approach to the same audit issue
  4. NEVER accept a performance improvement that breaks the UI

Multi-page checks

If the user specified multiple URLs/routes, check ALL of them after each change. A fix that improves the homepage but breaks a subpage is still a regression.


Targets

Default targets (override by telling the agent different ones):

CategoryMobileDesktop
Performance>= 90>= 95
Accessibility>= 95>= 95
Best Practices>= 95>= 95
SEO>= 95>= 95

The loop continues until ALL categories on BOTH mobile and desktop meet their targets, or the user interrupts.


Core Web Vitals Focus

When Performance score is low, prioritize these metrics:

MetricTargetWhat to Fix
LCP < 2.5sOptimize largest content element (usually hero image or heading). Use priority, fetchpriority="high", preload, optimize image format/size.
INP < 200msReduce JavaScript execution time. Debounce handlers, use startTransition, yield to main thread with scheduler.yield().
CLS < 0.1Set explicit dimensions on images/video/ads/embeds. Use font-display: optional. Reserve space for dynamic content.
TTFB < 800msServer-side: check caching, CDN, database queries. Use streaming SSR with Suspense.

Dashboard

After each round, write $LIGHTHOUSE_DIR/dashboard.md:

# Lighthouse Optimization: <url>
Updated: <timestamp>

## Current Scores
| Category | Mobile | Desktop | Target | Status |
|----------|--------|---------|--------|--------|
| Performance | XX | XX | 90/95 | pass/fail |
| Accessibility | XX | XX | 95/95 | pass/fail |
| Best Practices | XX | XX | 95/95 | pass/fail |
| SEO | XX | XX | 95/95 | pass/fail |

## Progress (baseline → current)
| Category | Mobile | Desktop |
|----------|--------|---------|
| Performance | 62 → 91 (+29) | 78 → 96 (+18) |
| ... |

## Changes Applied
| Round | Fix | Mobile Perf Delta | Visual QA |
|-------|-----|-------------------|-----------|
| 1 | Added priority to hero image | +12 | pass |
| 2 | Deferred analytics script | +8 | pass |
| 3 | Added font-display: swap | +3 | pass |

## Remaining Issues
Top failing audits still to address...

Completion

When all targets are met:

  1. Print final score summary with deltas from baseline
  2. List all changes made (files modified and why)
  3. Suggest running a final full visual QA: /qa <url>
  4. Do NOT auto-commit — let the user review the changes first

Keep looking

Skills are one crate of 627,801. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.