app-review-analyzer — app-review-analyzer install app-review-analyzer, kaiju-voice, community, app-review-analyzer install, ide skills, app-review-analyzer CSV analysis, app-review-analyzer for AI agents, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Data Analysis Agents needing advanced CSV data visualization capabilities for app store reviews. app-review-analyzer is a skill that analyzes and visualizes app store review CSV data, offering insights into review distributions, trends, and ratings.

Features

Analyzes CSV data with required columns: id, date, user_name, and title
Visualizes review distributions for better understanding of user feedback
Provides time-based trend analysis to identify patterns in reviews
Supports version-based rating analysis for comparing app updates
Extracts major keywords from review titles for enhanced insight

# Core Topics

app-review-analyzer install app-review-analyzer CSV analysis app-review-analyzer for AI agents
buddypia buddypia
[0]
[0]
Updated: 2/26/2026

Agent Capability Analysis

The app-review-analyzer skill by buddypia is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for app-review-analyzer install, app-review-analyzer CSV analysis, app-review-analyzer for AI agents.

Ideal Agent Persona

Perfect for Data Analysis Agents needing advanced CSV data visualization capabilities for app store reviews.

Core Value

Empowers agents to analyze app store review CSV data, providing insightful visualizations of review distributions, time-based trends, and version-based ratings using datetime and integer data types.

↓ Capabilities Granted for app-review-analyzer

Analyzing review trends over time
Generating visualizations of version-based ratings
Identifying key keywords in user reviews

! Prerequisites & Limits

  • Requires CSV data with specific columns (id, date, user_name, title)
  • Limited to app store review data analysis
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

app-review-analyzer

Install app-review-analyzer, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
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App Review Analyzer

Overview

アプリストア レビュー CSV データを分析してグラフで視覚化するスキル。評点 分布、時間別 トレンド、バージョン別 評点、主要 キーワード 等を分析する。

CSV データ 形式

分析 対象 CSV は 次の 列を含まなければならない:

列タイプ説明
idintegerレビュー 固有 ID
datedatetime作成 日時 (タイムゾーン 含む)
user_namestringユーザー名
titlestringレビュー タイトル
contentstringレビュー 内容
ratinginteger (1-5)評点
app_versionstringアプリ バージョン

分析 ワークフロー

Step 1: CSV ファイル ロード および 検証

  1. ユーザーが 提供した CSV ファイル パス 確認
  2. scripts/analyze_reviews.py スクリプト 実行
  3. データ 形式 検証 および 基本 統計 出力

Step 2: 分析 実行

スクリプトを 実行して 次の 分析を 実行する:

bash
1python3 /path/to/skill/scripts/analyze_reviews.py <csv_path> <output_dir>

Step 3: 結果 解釈

生成された グラフと 統計を 元に インサイトを 提供する:

  • 評点 分布: 全般的な ユーザー 満足度 把握
  • 時間別 トレンド: アプリ 品質 変化 推移
  • バージョン別 評点: 特定 バージョンの 問題点 識別
  • 否定 レビュー 分析: 主要 不満 事項 把握

分析 項目

1. 基本 統計

  • 総 レビュー 数
  • 平均 評点
  • 評点別 分布

2. 視覚化 グラフ

  • 評点 分布 棒 グラフ
  • 月別/週別 レビュー トレンド
  • バージョン別 平均 評点
  • 評点別 レビュー 数 パイ チャート

3. テキスト 分析

  • 否定 レビュー (1-2点) 主要 キーワード
  • 肯定 レビュー (4-5点) 主要 キーワード

Resources

scripts/

analyze_reviews.py - レビュー 分析 および 視覚化 スクリプト

使用法:

bash
1python3 scripts/analyze_reviews.py <csv_path> [output_dir]
  • csv_path: 分析する CSV ファイル パス
  • output_dir: グラフ 保存 ディレクトリ (デフォルト値: CSV ファイルと 同じ ディレクトリ)

出力 ファイル:

  • rating_distribution.png: 評点 分布 グラフ
  • monthly_trend.png: 月別 レビュー トレンド
  • version_rating.png: バージョン別 平均 評点
  • analysis_report.txt: 分析 要約 レポート

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is app-review-analyzer?

Perfect for Data Analysis Agents needing advanced CSV data visualization capabilities for app store reviews. app-review-analyzer is a skill that analyzes and visualizes app store review CSV data, offering insights into review distributions, trends, and ratings.

How do I install app-review-analyzer?

Run the command: npx killer-skills add buddypia/kaiju-voice. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for app-review-analyzer?

Key use cases include: Analyzing review trends over time, Generating visualizations of version-based ratings, Identifying key keywords in user reviews.

Which IDEs are compatible with app-review-analyzer?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for app-review-analyzer?

Requires CSV data with specific columns (id, date, user_name, title). Limited to app store review data analysis.

↓ How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add buddypia/kaiju-voice. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use app-review-analyzer immediately in the current project.

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