Add comprehensive App Store Optimization (ASO) skill

[CGAngler]

Summary

This PR introduces a complete App Store Optimization (ASO) skill with eight specialized modules for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store.

Key Changes

• Launch Checklist Generator (launch_checklist.py) — Generates comprehensive pre-launch and update checklists with platform-specific requirements, compliance validation, update planning, launch timing optimization, and seasonal campaign planning

• Review Analyzer (review_analyzer.py) — Analyzes user reviews for sentiment analysis, theme extraction, issue identification, and feature request detection with keyword-based classification

• A/B Test Planner (ab_test_planner.py) — Plans and tracks A/B tests for metadata and visual assets with statistical significance calculation, sample size determination, and result analysis

• Localization Helper (localization_helper.py) — Manages multi-language ASO optimization with market prioritization, translation cost estimation, and character limit adjustments by language

• Metadata Optimizer (metadata_optimizer.py) — Optimizes titles, descriptions, and keyword fields with platform-specific character limit validation and keyword integration strategies

• Competitor Analyzer (competitor_analyzer.py) — Analyzes competitor apps to identify ASO opportunities, keyword gaps, and best practices with comparative ranking

• ASO Scorer (aso_scorer.py) — Calculates comprehensive ASO health score (0-100) across metadata quality, ratings/reviews, keyword performance, and conversion metrics with weighted scoring

• Keyword Analyzer (keyword_analyzer.py) — Analyzes keywords for search volume, competition level, relevance, and ASO potential with difficulty scoring and recommendations

• Documentation & Context — Added SKILL.md with ASO framework and best practices, product marketing context template, usage guide, and sample input/output files

Notable Implementation Details

• All modules use type hints and comprehensive docstrings for clarity
• Platform-specific handling for Apple App Store and Google Play Store differences
• Character limit validation aligned with each platform's requirements
• Statistical calculations for A/B testing (z-scores, sample size, significance)
• Keyword analysis with competition thresholds and volume categorization
• Weighted scoring system for overall ASO health assessment
• Sentiment analysis using keyword-based classification
• Market prioritization by revenue share and tier-based localization strategy

https://claude.ai/code/session_0114yWTUACUTPwm274b1Xd8J