Customer Feedback Aggregation
Aggregate and analyze customer feedback from multiple sources for product insights
npx skills add a5c-ai/babysitter --skill feedback-aggregation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Customer Feedback Aggregation Skill ## Overview Specialized skill for aggregating and analyzing customer feedback from multiple sources. Enables product teams to synthesize voice-of-customer data into actionable insights for product decisions. ## Capabilities ### Data Collection - Parse support tickets for feature requests - Analyze NPS/CSAT verbatim responses - Extract themes from sales call notes - Monitor app store reviews - Aggregate feedback from Intercom/Zendesk - Process customer interview transcripts ### Analysis - Calculate feature request frequency - Track sentiment trends over time - Identify emerging themes and patterns - Segment feedback by customer type - Correlate feedback with customer attributes - Detect urgency and impact signals ### Synthesis - Generate feedback summary reports - Create feature request rankings - Build customer pain point matrices - Generate insight recommendations - Create feedback-to-feature mapping ## Target Processes This skill integrates with the following processes: - `jtbd-analysis.js` - Voice of customer for jobs analysis - `feature-definition-prd.js` - Customer-driven requirements - `rice-prioritization.js` - Reach and impact scoring -
- Overview
- Capabilities
- Data Collection
- Analysis
- Synthesis
- Target Processes
- Input Schema
- Output Schema
- Usage Example
- Dependencies
What does the Customer Feedback Aggregation skill do?
Aggregate and analyze customer feedback from multiple sources for product insights
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill feedback-aggregation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
