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seo-unlighthouse

seo-unlighthouse runs Lighthouse performance audits across multiple pages on a website simultaneously using the open-source Unlighthouse CLI, aggregating results into performance scores and per-route breakdowns. Use this skill to audit entire sites without consuming PageSpeed Insights API quota, measure Core Web Vitals in offline or CI environments, or quickly detect site-wide regressions after deployments.

View source Repository: dev-gtm-claude-skills

Install in Claude Code

Copy

git clone --depth 1 https://github.com/Infrasity-Labs/dev-gtm-claude-skills /tmp/seo-unlighthouse && cp -r /tmp/seo-unlighthouse/.claude/extensions/unlighthouse/skills/seo-unlighthouse ~/.claude/skills/seo-unlighthouse

Then start a new Claude Code session; the skill loads automatically.

Definition

SKILL.md

# seo-unlighthouse

Run Lighthouse against every URL on a site (up to a configurable cap)
and aggregate the results. Useful when:

- PageSpeed Insights' free quota (25k QPD) isn't enough for a large site.
- You want offline / local CWV measurement (CI integration, restricted environments).
- You need a quick site-wide regression check after a deploy.

## Prerequisites

- Run `extensions/unlighthouse/install.sh` (no API key needed).
- Node 18+ on `$PATH`.

## Routing

| Command | Effect |
|---|---|
| `/seo unlighthouse <url>` | Mobile audit, up to 200 routes, JSON+HTML report in a temp dir |
| `/seo unlighthouse <url> --device desktop` | Desktop form factor |
| `/seo unlighthouse <url> --max-routes 50 --output-dir ./reports` | Cap + persist |

All flags forward to `scripts/unlighthouse_run.py` which handles
url_safety pre-flight and subprocess timeout management.

## Output handling

The wrapper reads `ci-result.json` from the Unlighthouse output dir and
returns it parsed. Aggregate fields:

- `score.performance` (median across audited routes)
- `score.accessibility`, `score.bestPractices`, `score.seo`
- Per-route breakdown is available in `<output_dir>/ci-result.json`

## Cross-skill delegation

- For single-URL field data (CrUX), use `seo-google psi` / `seo-google crux`.
- For LCP subpart decomposition on slow pages, use the
  `scripts/lcp_subparts.py` workflow (Phase C).