Aso reviews

Skill FelixGraeber/claude-aso-audit-skill/skills/aso-reviews

ASO audit skill pack for Claude Code: audit App Store and Google Play listings, keywords, metadata, visuals, reviews, and competitors.

Install

npx -y skills add FelixGraeber/claude-aso-audit-skill --skill aso-reviews

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Review and rating analysis for app store listings. Sentiment classification, keyword extraction from reviews, theme clustering, rating distribution, developer response strategy. Triggers on: "reviews", "ratings", "sentiment", "review response".

SKILL.md

3.4 KB, as published. Nobody here has run it

ASO Reviews — Review & Rating Management

Capabilities

Rating distribution and trend analysis
Sentiment classification (positive/neutral/negative)
Theme clustering (performance, UI, features, pricing, bugs, support)
Keyword extraction from review text (Android: reviews are indexed!)
Developer response strategy and templates
Review velocity assessment

Process

Fetch reviews (from listing data or user-provided JSON)
Run sentiment analysis: uv run python scripts/review_analyzer.py --file reviews.json --json
Extract keyword themes
Analyze rating distribution
Generate response templates for negative reviews

Scoring (0-100)

Factor	Weight	Thresholds
Average rating	30%	<3.5=Critical, 3.5-3.9=Poor, 4.0-4.4=Good, 4.5+=Excellent
Rating volume	20%	<100=Low credibility, 100-1000=Moderate, >1000=Strong
Sentiment ratio	20%	>70% positive=Good, 50-70%=Fair, <50%=Poor
Rating velocity	15%	Improving trend=bonus, declining=penalty
Response rate	15%	>80%=Excellent, 50-80%=Good, <50%=Needs work

Platform-Specific Impact

iOS

Reviews affect ranking via rating signals only
Review TEXT is NOT indexed for search
Developer responses shown prominently — build trust
Rating resets possible with major version updates

Android

Review TEXT IS INDEXED — keywords in reviews impact search visibility
Keywords from reviews can boost rankings for mentioned features
Encourage reviews that mention key use cases
No rating reset option

Response Strategy: HEAR Framework

Hear — Acknowledge the specific concern
Empathize — Show understanding
Act — Describe what you're doing about it
Resolve — Provide next steps or solution

Response Templates

1-2 star (bug/crash):

Thank you for reporting this. We've identified the [specific issue] and our team is working on a fix for the next update. Please contact us at [email] if you need immediate help.

1-2 star (feature request):

We appreciate your feedback about [feature]. This is on our roadmap and we're actively working on it. We'll keep you updated.

3 star (mixed):

Thanks for the detailed feedback! We're glad [positive aspect] is working well. We hear you on [negative aspect] and are improving it in upcoming updates.

4-5 star:

Thank you for the kind words! We're thrilled you enjoy [specific feature]. Your support means a lot to our team.

Output Format

# Review Analysis: [App Name]

## Rating Health
- Average: X.X/5.0
- Distribution: [histogram]
- Volume: X total reviews
- Velocity: X reviews/week

## Sentiment Analysis
- Positive: X%
- Neutral: X%
- Negative: X%

## Top Themes
| Theme | Mentions | Sentiment | Key Quotes |
|-------|----------|-----------|------------|

## Keyword Opportunities (from reviews)
[Keywords frequently mentioned that could inform metadata]

## Recommended Response Actions
[Prioritized list of reviews to respond to]

Available Tools

Read, Bash, Write, Glob, Grep