aso-keywords-metadata-rewritev1.0.0

An indie developer's habit tracker ranks 11–50 for promising terms like "habit tracker" but holds them only in the description. The developer wants those terms moved into the title and subtitle within Apple's 30-character limits. The skill researches competitor keyword gaps via AppGoat, scores each term, and returns paste-ready metadata variants.

A team finishing a new meditation app has a draft title, subtitle and description but no keyword field or ranking data. The skill asks for the draft listing and closest competitor, then builds a candidate pool from competitor ranks and derived seeds. It delivers a validated keyword field and title/subtitle variants ready for App Store Connect.

A Play Store publisher knows Play indexes the full description but has never optimised it for natural keyword use. The skill identifies top terms from competitor top-20 rankings, scores them by popularity, difficulty and fit, then rewrites the short and full descriptions. It validates lengths with check_metadata.py before delivery.

An agency running ASO for several small clients wants a repeatable monthly process per storefront. The skill runs per country (default us), tracks chosen terms with track_keywords at zero credit cost, and compares ranks after 2 and 4 weeks. A GitHub Action can open PRs with metadata markdown for review before pasting into the console.

An app doing well in the US wants to enter the UK storefront where its metadata does not exist yet. Because metadata is per locale, the skill is run once per country, scoring popularity, difficulty and relevance for that storefront. The output includes a country-specific keyword field and safe/aggressive title variants.

The app is free to download and monetises via in-app subscription tiers. Better keyword targeting drives qualified organic installs that convert to paid tiers, making ASO a direct revenue lever. The skill's rank-gap scoring focuses spend on terms the app can realistically win.

A paid download with no ongoing monetisation, so organic discovery is the primary acquisition channel and ad spend is often uneconomic. Ranking for high-popularity, low-difficulty terms directly increases purchase volume. The skill prioritises striking-distance keywords to grow ranked visibility efficiently.

Free apps monetise through advertising, so revenue scales with install volume and session count. Improved keyword placement in title and subtitle lifts organic ranking and installs without acquisition cost. The skill's metadata rewrite focuses on terms with the best popularity-to-difficulty ratio.