category-positioning
When the user wants to choose, change, or evaluate their App Store / Google Play category and...
What this skill does for you
When the user wants to choose, change, or evaluate their App Store / Google Play category and subcategory : including primary vs secondary category trade-offs, chart-rank competitive analysis, category-driven discoverability, and how category choice affects featuring eligibility. Use when the user mentions "which category", "App Store category", "primary category", "secondary category", "change my category", "Health & Fitness vs Lifestyle", "Productivity vs Utilities", "rank higher in a smaller category", "category chart", "subcategory", "Play Store category", or "should I switch categories". For full ASO health beyond category, see aso-audit. For competitor analysis within the chosen category, see competitor-analysis. For chart movements within categories, see market-movers.
Quoted from the skill description in the pinned sourceWho made it
Use it with Edge
Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the category-positioning skill from appeeky/aso-skills.
Paste it into Claude, ChatGPT, Codex or Cursor.
Or read the skill source first.
Security evidence
| Scanner | Date | Result | Findings |
|---|---|---|---|
| Edge static checks | 2026-09-27 | Pass | 0 |
| Cisco skill-scanner | 2026-09-27 | Pass | 0 |
| Semgrep Edge rules | 2026-09-27 | Pass | 0 |
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
- sha256:43fe58703068ca3fb8f6910057ffd70595348597f1ba0c3c28ab9a74583f5dde
- Licence
- MIT