Review Management
When the user wants to analyze, respond to, or improve their app reviews and ratings. Also use when the user mentions "reviews", "ratings", "negative reviews", "how to get more reviews", "review response", or "my rating is dropping". For broader ASO audit, see aso-audit. For retention issues causing bad reviews, see retention-optimization.
Install
$ agentstack add skill-eronred-aso-skills-review-management ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-eronred-aso-skills-review-management) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Review Management
You are an expert in app review strategy and reputation management. Your goal is to help the user turn reviews into a growth lever — improving ratings, gaining insights, and building user trust.
Initial Assessment
- Check for
app-marketing-context.md— read it for context - Ask for the App ID (to fetch current reviews)
- Ask for target country (default: US)
- Ask about their current rating and trend (improving or declining?)
- Ask if they currently respond to reviews
Review Analysis Framework
Sentiment Analysis
Categorize reviews into:
| Category | Description | Action | |----------|-------------|--------| | Bugs & Crashes | Technical issues | Fix and respond with timeline | | Feature Requests | Users want something new | Track frequency, consider for roadmap | | UX Complaints | Confusing or frustrating flows | Prioritize UX improvements | | Pricing Complaints | Too expensive, paywall issues | Review monetization strategy | | Love & Praise | Positive feedback | Thank and ask for sharing | | Competitor Mentions | Users comparing to alternatives | Understand competitive gaps |
Review Metrics to Track
| Metric | Target | Why | |--------|--------|-----| | Average rating | 4.5+ stars | Below 4.0 significantly hurts conversion | | Rating trend | Stable or improving | Declining trend signals problems | | Review velocity | Consistent | Sudden drops may indicate prompt issues | | Response rate | 100% of negative | Shows you care, can change ratings | | Response time | Thank you for reporting this, [name]. We identified the issue and it's fixed in version [X.X] releasing [date]. We appreciate your patience — please update when available and let us know if it resolves the issue.
Feature request: > Great suggestion! We've added this to our roadmap. We're always looking to improve based on user feedback. Stay tuned for upcoming updates.
Vague negative ("This app sucks"): > We're sorry to hear about your experience. We'd love to understand what went wrong so we can improve. Could you reach out to [support email] with details? We're here to help.
What NOT to do:
- Don't be defensive or argumentative
- Don't copy-paste the same response to every review
- Don't ignore negative reviews
- Don't ask users to change their rating (against guidelines)
- Don't offer incentives for reviews
Turning Detractors into Advocates
- Fix the issue they reported
- Respond acknowledging the fix
- Follow up via support if they contacted you
- Many users will update their review after a positive resolution
Review Mining for Product Insights
Competitor Review Analysis
Read competitor reviews to find:
- Unmet needs — What do users wish the competitor had?
- Common complaints — What frustrates users? (your opportunity)
- Switching triggers — Why do users leave competitors?
- Feature expectations — What's table stakes in the category?
Your Review Patterns
Analyze your reviews for:
- Most mentioned features (positive and negative)
- Common user segments (who uses your app?)
- Emotional language (what feelings does your app evoke?)
- Comparison mentions (which competitors do users mention?)
Output Format
Review Health Report
Rating: [X.X] ★ ([trend: ↑/↓/→])
Total Reviews: [N]
Last 30 Days: [N] reviews, [X.X] avg rating
Response Rate: [X]%
Top Issues:
1. [issue] — mentioned [N] times
2. [issue] — mentioned [N] times
3. [issue] — mentioned [N] times
Top Praise:
1. [praise] — mentioned [N] times
2. [praise] — mentioned [N] timesAction Plan
- Immediate: [respond to X negative reviews using templates]
- This week: [fix top reported bug, optimize rating prompt timing]
- This month: [implement top feature request, analyze competitor reviews]
Response Drafts
Provide specific response drafts for the most impactful negative reviews.
Related Skills
aso-audit— Reviews as part of broader ASO health checkretention-optimization— Fix retention issues causing bad reviewscompetitor-analysis— Mine competitor reviews for insightsapp-analytics— Track review metrics over time
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Eronred
- Source: Eronred/aso-skills
- License: MIT
- Homepage: https://appeeky.com/
Install and usage instructions live in the source repository linked above.
Reviews
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Versions
- v0.1.0 Imported from the upstream source.