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Skill evidence / app-icon-optimization
Skill profile

app-icon-optimization

When the user wants to design, test, or improve their app icon to increase tap-through rate and...

What this skill does for you

When the user wants to design, test, or improve their app icon to increase tap-through rate and conversions in App Store search and browse. Use when the user mentions "app icon", "icon design", "icon A/B test", "icon variants", "tap-through rate", "icon conversion", "icon refresh", or wants to know what makes a good app icon. For screenshot optimization, see screenshot-optimization. For full listing A/B tests, see ab-test-store-listing.

Quoted from the skill description in the pinned source

Who made it

Publisherappeeky
Repositoryaso-skills
Installs2,400as of Sep 27, 2026

Use it with Edge

Bring this skill into your Edge workflow. Read the pinned instructions to check its setup.

Security evidence

3 static scans, 0 counted findings. What this means: the listed scanners recorded the results shown for this package revision.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 4df730f456c21e42b9a2ea2be89fb32caf787728. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 4df730f456c21e42b9a2ea2be89fb32caf787728. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 4df730f456c21e42b9a2ea2be89fb32caf787728. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/appeeky/aso-skills
Pinned skill file
View source at revision
Revision
4df730f456c21e42b9a2ea2be89fb32caf787728
Package hash
sha256:61be51cc7457bd8cfb795fc1e59ad8b9bd46817c9a43422ef2d6a3e090d4e7cc
Licence
MIT