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reviews-aggregator

@lola69160/claude-product-comparison
0
22

Aggregates user reviews from Amazon/Reddit and expert reviews from specialized sites with sentiment analysis. Use when user asks to 'get reviews', 'what do users say', 'aggregate reviews', 'user feedback', 'expert opinions', or when orchestrator needs sentiment analysis and pros/cons extraction. Synthesizes consensus patterns across sources.

Install Skill

Shared

Installs to .agents/skills, used by Codex, Amp, Warp, Cursor, OpenCode, and more.

CodexAmp
WarpCursorOpenCode
ClineGemini CLI
GitHub Copilot
Personal

Available across projects.

$npx skills-installer add @lola69160/claude-product-comparison/reviews-aggregator --client shared
Project

Writes to .agents/skills.

$npx skills-installer add @lola69160/claude-product-comparison/reviews-aggregator -p --client shared
Note: Review the skill instructions before using it.

SKILL.md

name reviews-aggregator
description Aggregates user reviews from Amazon/Reddit and expert reviews from specialized sites with sentiment analysis. Use when user asks to 'get reviews', 'what do users say', 'aggregate reviews', 'user feedback', 'expert opinions', or when orchestrator needs sentiment analysis and pros/cons extraction. Synthesizes consensus patterns across sources.

Reviews Aggregator

Mission

Collecter et analyser avis utilisateurs (Amazon, Reddit) et reviews experts (sites spécialisés). Synthétiser pros/cons, sentiment général, consensus.

Quick Summary

  1. Scrape Amazon reviews (rating, avis vérifiés, pros/cons)
  2. Search Reddit mentions (r/BuyItForLife, product-specific subs, category subs)
  3. Collect expert reviews (2-3 sites selon catégorie)
  4. Analyse sentiment + extract pros/cons patterns
  5. Synthèse consensus + save JSON

Inputs

  • product_name: Nom produit
  • category: Catégorie (pour sélectionner review sites appropriés)
  • amazon_url: URL Amazon (optionnel)
  • cache_check: Vérifier cache avant fetch (default: true)

Outputs

  • reviews_user.json: Avis users (Amazon + Reddit)
  • reviews_expert.json: Reviews experts (sites spécialisés)
  • reviews_summary.json: Synthèse (pros, cons, sentiment, consensus)
  • Cache 7j

Dependencies

  • data/category_specs.yaml (review_sites par catégorie)
  • Load helpers/sentiment_analysis.md when analyzing sentiment
  • Load helpers/sources.yaml when scraping sites

Workflow

Load helpers/sentiment_analysis.md when executing analysis for detailed sentiment analysis and synthesis.