Agent skill · Data & Analytics

voice-of-customer-synthesizer

Aggregate customer feedback from multiple sources — support tickets, NPS comments, Slack messages, G2 reviews, call transcripts, survey responses — into a unified VoC report with theme clustering, sentiment analysis, trend detection, and actionable recommendations for product, marketing, and CS teams. Chains review-site-scraper for public review data.

gooseworks-aigithub.com/gooseworks-aiGitHub ↗
claude-codecodexcursorMIT
Install
npx skills add gooseworks-ai/goose-skills --skill voice-of-customer-synthesizer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 9 KB
Bundled scripts: none
Path: skills/research/composites/voice-of-customer-synthesizer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,091
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Voice of Customer Synthesizer Turn scattered customer feedback into a single source of truth. Aggregates signals from every source you have, clusters them into themes, and produces a report that product, marketing, and CS teams can actually act on. **Built for:** Startups where customer feedback lives in 6 different places and nobody has time to synthesize it. The founder says "what are customers saying?" and nobody has a clear answer. This skill produces that answer. ## When to Use - "What are our customers saying?" - "Synthesize customer feedback from last quarter" - "Build a VoC report for the product team" - "What themes are coming up in customer feedback?" - "Aggregate feedback from all our channels" ## Phase 0: Intake ### Feedback Sources (provide all you have) 1. **Support tickets** — Export from support tool (CSV: customer, date, subject, description, tags, resolution) 2. **NPS/CSAT survey responses** — Scores + verbatim comments 3. **Slack messages** — Customer channel messages, feedback channels 4. **G2/Capterra reviews** — Will scrape if product is listed (provide product name or URL) 5. **Call/meeting transcripts** — Customer call recordings or notes 6. **Churn exit s

What's inside
Steps it walks through
  1. When to Use
  2. Phase 0: Intake
  3. Feedback Sources (provide all you have)
  4. Configuration
  5. Phase 1: Data Collection
  6. 1A: Internal Data Processing
  7. 1B: External Review Scraping (if applicable)
  8. 1C: Social Listening (if applicable)
  9. Phase 2: Theme Clustering
  10. Clustering Method
  11. Theme Template
  12. Phase 3: Analysis
  13. 3A: Sentiment Overview
  14. 3B: Source Comparison
Ships with 1 file
  • skill.meta.json
More from goose-skills
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About this skill
What does the voice-of-customer-synthesizer skill do?

Aggregate customer feedback from multiple sources — support tickets, NPS comments, Slack messages, G2 reviews, call transcripts, survey responses — into a unified VoC report with theme clustering, sentiment analysis, trend detection, and actionable recommendations for product, marketing, and CS teams. Chains review-site-scraper for public review data.

How do I install it?

Run `npx skills add gooseworks-ai/goose-skills --skill voice-of-customer-synthesizer --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 gooseworks-ai/goose-skills, a repository with 1,091 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.

Keep going