app-store-optimization
app-store-optimization is an App store optimisation skill for AI agents, published by dpearson2699 in the swift-ios-skills repository on GitHub. Skillspace rates app-store-optimization D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Optimize App Store product pages for search visibility and conversion. Use for App Store Optimization (ASO), keyword research, app name/subtitle/keyword-field strategy, conversion-focused descriptions and promotional text, screenshot captions and ordering, Custom Product Pages with assigned search keywords, In-App Events, Product Page Optimization tests, localized metadata, ratings/review strategy, and in-app review prompt timing with RequestReviewAction or AppStore.requestReview. Also use when routing ASO vs App Store review, privacy/ATT, or StoreKit implementation boundaries.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 892
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 91 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 2 collections
- Scope
- Vendor-specific: built around one product. Apple App Store platform metadata, Custom Product Pages, In-App Events
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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