review-intelligence-digest

Analyze customer reviews into structured product intelligence categories.

Updated Apr 19, 2026
One-click install
npx skills add https://github.com/marmikcfc/pepper-skills --skill review-intelligence-digest-marmikcfc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review-intelligence-digest
Source: https://github.com/marmikcfc/pepper-skills/tree/main/skills/review-intelligence-digest
Command: npx skills add https://github.com/marmikcfc/pepper-skills --skill review-intelligence-digest-marmikcfc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Synthesize customer reviews into structured competitive and product intelligence, turning raw feedback into actionable insights for product teams.

Core Features & Use Cases

  • Load and centralize customer reviews from multiple sources for analysis.
  • Synthesize reviews into 6 categories: top praised features, top complaints, switching reasons, ICP patterns, competitive positioning gaps, and representative quotes.
  • Generate actionable reports to inform product strategy, roadmap decisions, and messaging.

Quick Start

Analyze the latest reviews for <company> and generate a structured intelligence digest covering top praised features, top complaints, switching reasons, ICP patterns, competitive gaps, and a representative quote.

Frequently Asked Questions about review-intelligence-digest

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I turn customer reviews into actionable product insights?

The Skill analyzes customer reviews to generate actionable product intelligence by synthesizing raw feedback into structured categories: praised features, complaints, switching reasons, ICP patterns, and competitive gaps.

How do I analyze customer sentiment to find competitive positioning gaps?

Customer sentiment analysis for competitive gaps works by loading centralized reviews and extracting structured intelligence, highlighting what features users praise or complain about to reveal market opportunities.

What do I need to extract VOC data from cached customer reviews?

To extract VOC data from cached customer reviews, you need ORTHOGONAL_API_KEY, ANTHROPIC_API_KEY, and PEPPER credentials (PEPPER_EVENT_SECRET and PEPPER_CLOUD_URL) to read data and produce the structured digest.

Can I identify ideal customer profile patterns from raw product feedback?

Yes, you can identify ICP patterns from raw product feedback by evaluating centralized reviews, which detects recurring user traits and switching reasons to map your ideal customer profile accurately.

What is the best way to generate a competitive analysis report from multiple review sources?

The best way to generate a competitive analysis report is by loading and centralizing feedback from multiple sources, then synthesizing it into a structured digest covering features, complaints, and competitive gaps.