Individual skill

app-landing-seo

SEO-optimize a landing page for a mobile app end to end — pull App Store/Play listing data and assets, run keyword research (primary + long-tail), build an SEO landing page with guide pages per keyword, GPT Image-generated landscape feature images, FAQ with schema, sitemap/robots, and de-slopped copy. Invoke when the user asks to "SEO optimise my landing page", "do keyword research for my app", "create SEO guides/content", "add structured data", "remove AI slop from my copy", or similar.

skill/app-landing-seo/SKILL.md

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# App Landing Page SEO

End-to-end workflow for turning an app's store listing into a high-converting, SEO-optimized landing site with long-tail guide pages. Default stack: **Vite + React with build-time prerendering** (architecture in Phase 3). If the repo already has a web framework (Next.js, Astro), build inside that instead and adapt the output paths. Every phase ends with verification.

This skill depends on the separately installed **`gpt-image`** skill included in the same repository. When guide images are needed, load that skill and follow its instructions. Do not assume its helper lives inside this skill's directory.

## Phase 1 — Pull the store listing (source of truth)

1. Fetch full metadata from the iTunes lookup API (no auth needed):
   ```bash
   curl -s "https://itunes.apple.com/lookup?id=<APP_ID>&country=us"
   ```
   Extract: name, bundleId, description, price/IAP terms, genres, rating count, screenshots, icon, version, seller. Check for a Google Play listing too (`play.google.com/store/apps/details?id=<bundleId>`) — don't assume iOS-only.
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