nano-banana-app-store-campaign
nano-banana-app-store-campaign is an App store optimisation skill for AI agents, published by chawlaaditya in the NanoBananaASO repository on GitHub. Skillspace rates nano-banana-app-store-campaign D (69/100) and it passed the safety scan; the rating is based on static analysis only.
Build premium, consistent App Store screenshot campaigns with Nano Banana. Use when Codex needs to analyze an app codebase for brand, style, and claims, decide which screens should be captured, direct the user to take specific screenshots, turn those screenshots into advertisement-first App Store slides, keep a consistent style anchor across the set, and normalize the final exports to App Store portrait sizes.
- Grade
- D
- Quality
- 69 / 100
- Safety
- Passed
- GitHub stars
- 61
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 86 / 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 0 collections
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
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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