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    TimBroddin

    app-store-aso

    TimBroddin/app-store-aso
    Business
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    About

    SKILL.md

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    Install via Skills CLI

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    About

    Generate optimized Apple App Store metadata recommendations with ASO best practices...

    SKILL.md

    Apple App Store ASO Optimization

    Overview

    This skill enables comprehensive Apple App Store Optimization (ASO) analysis and metadata generation. Analyze existing app listings, generate optimized metadata following Apple's guidelines and character limits, provide competitive insights, and recommend screenshot storyboard strategies.

    Core Workflow

    When a user requests ASO optimization or metadata review:

    1. Analyze the App Context

      • Understand the app's purpose, features, and target audience
      • Identify unique value propositions and competitive differentiators
      • Note any changes or updates the user mentions
    2. Load ASO Knowledge Base

      • Reference references/aso_learnings.md for comprehensive ASO best practices
      • Apply competitive analysis strategies
      • Use proven optimization patterns
    3. Generate Optimized Metadata

      • Create optimized app name, subtitle, and promotional text
      • Write compelling description with keyword optimization
      • Generate keyword list with strategic placement
      • Ensure all metadata follows Apple's character limits
    4. Validate Character Counts

      • Use scripts/validate_metadata.py to verify all metadata meets Apple's requirements
      • Display validation results with character counts and limit compliance
      • Flag any violations with specific corrections needed
    5. Provide Screenshot Strategy

      • Recommend screenshot storyboard sequence
      • Suggest messaging hierarchy and visual focus areas
      • Align screenshot strategy with metadata messaging

    Apple App Store Character Limits

    Critical Limits to Validate:

    • App Name: 30 characters maximum
    • Subtitle: 30 characters maximum
    • Promotional Text: 170 characters maximum
    • Description: 4,000 characters maximum
    • Keywords: 100 characters maximum (comma-separated, no spaces)
    • What's New: 4,000 characters maximum

    Metadata Validation Process

    After generating recommendations, always validate using the validation script:

    python scripts/validate_metadata.py
    

    The script will:

    1. Prompt for each metadata field
    2. Calculate character counts
    3. Check against Apple's limits
    4. Display results with ✅ (pass) or ❌ (fail) indicators
    5. Show exact character counts and remaining characters

    Integration Pattern:

    • Generate metadata recommendations
    • Run validation script with recommended content
    • Display validation results to user
    • Adjust any failing fields and re-validate

    Output Format

    Structure recommendations as:

    📱 App Metadata Recommendations

    App Name (X/30 characters) [optimized name]

    Subtitle (X/30 characters) [optimized subtitle]

    Promotional Text (X/170 characters) [promotional text]

    Keywords (X/100 characters) [keyword,list,no,spaces]

    Description (X/4000 characters) [full description]

    🎯 Competitive Analysis

    [Key insights and positioning recommendations]

    📸 Screenshot Storyboard Strategy

    [Ordered list of screenshot recommendations with messaging]

    ✅ Validation Results

    [Output from validation script showing compliance]

    Krankie: App Store Ranking Tracker

    Krankie is an agent-first CLI tool for tracking App Store keyword rankings. Use it to monitor keyword performance, track ranking changes over time, and inform ASO optimization decisions with real data.

    Installation

    bun install -g krankie
    # or run directly
    bunx krankie
    

    Key Commands

    App Management:

    # Search for apps
    krankie app search "<query>" --platform ios
    
    # Add an app to track
    krankie app create <app_id> --platform ios
    
    # List tracked apps
    krankie app list
    

    Keyword Tracking:

    # Add keywords to track for an app
    krankie keyword add <app_id> "<keyword>" --store us
    
    # List tracked keywords
    krankie keyword list
    

    Ranking Checks:

    # Run ranking checks for all tracked keywords
    krankie check run
    
    # View current rankings
    krankie rankings
    
    # See biggest movers (gains/losses)
    krankie rankings movers
    
    # View ranking history for a keyword
    krankie rankings history <keyword_id>
    
    # Check status of last run
    krankie check status
    

    Automation:

    # Install daily cron job (default: 6 AM)
    krankie cron install --hour 6
    
    # Check cron status
    krankie cron status
    

    Agent Integration

    All commands support --json flag for structured output:

    krankie rankings --json
    krankie app list --json
    

    Get agent-friendly instructions:

    krankie instructions --format json
    

    Data Notes

    • Rankings track positions 1-200; null indicates outside this range
    • Data stored locally in ~/.krankie/krankie.db (SQLite)
    • Daily re-checks are rate-limited; use --force to override
    • Logs available at ~/.krankie/check.log

    ASO Workflow Integration

    1. Before optimization: Use krankie rankings to establish baseline keyword positions
    2. Competitive analysis: Track competitor apps and their keyword rankings
    3. After metadata changes: Monitor krankie rankings movers to measure impact
    4. Trend analysis: Use krankie rankings history to identify patterns

    Resources

    scripts/validate_metadata.py

    Python script that validates App Store metadata against Apple's character limits. Provides interactive validation with clear pass/fail indicators.

    references/aso_learnings.md

    Comprehensive ASO knowledge base containing optimization strategies, competitive analysis frameworks, keyword research techniques, and proven best practices. Load this file to inform all ASO recommendations.

    Recommended Servers
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    Repository
    timbroddin/app-store-aso-skill
    Files