App Store Optimization
Optimizes app store listings (keywords, descriptions) for maximum visibility and downloads using AI-driven analysis.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add automindtechnologie-jpg-app-store-optimization npx -- -y @trustedskills/automindtechnologie-jpg-app-store-optimization
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"automindtechnologie-jpg-app-store-optimization": {
"command": "npx",
"args": [
"-y",
"@trustedskills/automindtechnologie-jpg-app-store-optimization"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill optimizes app store listings to improve visibility and downloads. It analyzes keywords, generates compelling descriptions, and suggests relevant categories to maximize an app's ranking within the app stores (Apple App Store and Google Play). The goal is to increase organic discovery and ultimately drive more users to download your application.
When to use it
- You’re launching a new mobile app and want to ensure maximum visibility from day one.
- Your existing app has low downloads, and you suspect the problem lies in its app store listing.
- You need help identifying high-impact keywords for your app's description and metadata.
- You are looking for suggestions on how to categorize your app effectively within the app stores.
Key capabilities
- Keyword analysis
- App Description Generation
- Category Suggestions
- Apple App Store Optimization
- Google Play Optimization
Example prompts
- "Analyze my app's keywords and suggest improvements."
- "Generate a compelling description for my fitness tracking app targeting iOS users."
- "What categories would be most appropriate for a photo editing application?"
Tips & gotchas
The skill requires information about your app, including its functionality and target audience. Providing detailed context will yield more accurate and effective optimization suggestions.
Tags
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