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Skill evidence / retention-optimization
Skill profile

retention-optimization

When the user wants to reduce churn.

What this skill does for you

When the user wants to reduce churn, improve user engagement, or increase lifetime value. Also use when the user mentions "retention", "churn", "users leaving", "engagement", "DAU/MAU", "user activation", or "why are users uninstalling". For onboarding-specific issues, see app-launch. For monetization, see monetization-strategy.

Quoted from the skill description in the pinned source

Who made it

Publisherappeeky
Repositoryaso-skills
Installs3,100as 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:a0482c4b5bbbc828679c5e4f692a2d12c2f835dc40c22d841b4fa110b016c690
Licence
MIT