An AI-powered intelligence skill that transforms raw app store reviews into prioritized product backlog actions and trend reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install app-review-intelligence
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install app-review-intelligence using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is App Review Intelligence?
App Review Intelligence is a sophisticated analytical framework designed for product teams to bridge the gap between user feedback and engineering priorities. By leveraging Openclaw Skills, this tool automates the ingestion, cleaning, and clustering of app review data to identify critical pain points and sentiment shifts. It enables teams to move beyond manual review reading by programmatically mapping user complaints and praise to actionable feature requests or bug fixes.
This skill is particularly effective for high-velocity mobile teams that need to maintain high release quality. By integrating Openclaw Skills into your workflow, you can systematically track recurring regressions and retention drivers, ensuring that your product roadmap is always backed by real-world user sentiment and severity scoring.
App Review Intelligence Use Cases
- Monitoring post-release stability by detecting immediate spikes in regression reports.
- Identifying the most requested features by clustering long-term user feedback themes.
- Competitive analysis by processing review data from similar apps to find market gaps.
- Reporting weekly sentiment trends to stakeholders with data-backed priority scores.
How App Review Intelligence Works
- Data Ingestion: The system collects raw review data filtered by specific time periods or app versions.
- Thematic Clustering: AI models categorize feedback into specific issue themes and sentiment buckets.
- Scoring: Each cluster is scored based on frequency, severity of the reported issue, and recency of the feedback.
- Backlog Mapping: Identified issues are translated into product backlog candidates with suggested priority levels.
- Insight Generation: The workflow concludes by generating a roadmap-ready summary and risk signals.
App Review Intelligence Setup
To get started with App Review Intelligence within your Openclaw Skills environment:
openclaw install app-review-intelligence
- Configure your data sources (App Store or Play Store API keys) in your local environment variables.
App Review Intelligence Data Schema & Taxonomy
The skill organizes intelligence into a structured taxonomy to ensure compatibility with project management tools:
| Entity | Description |
|---|---|
| Pain-Point Clusters | Grouped feedback items with shared root causes. |
| Retention Drivers | Positive signals identifying features that contribute most to high ratings. |
| Backlog Recommendations | Priority-ranked suggestions for JIRA or GitHub Issues. |
| Risk Signals | Early-warning indicators of potential churn or release instability. |
App Review Intelligence Advanced Features
- Multi-version comparison to track how specific bug fixes impacted user sentiment over time.
- Automated mapping of issues to specific feature request categories or bug backlog tags.
- Detection of emerging trend shifts before they become statistically dominant in the overall rating.
- Native integration with the broader suite of Openclaw Skills for automated ticket creation.
SKILL.md
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