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Agent Skill · 研究检索

customer-review-aggregator(客户评论聚合器)

customer-review-aggregator 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

customer-review-aggregator 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证为 MIT,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 29,337。

总安装 3,070周安装 123GitHub Stars 106下载 994核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:customer-review-aggregator(客户评论聚合器)
来源仓库:https://github.com/onewave-ai/claude-skills
仓库路径:skills/customer-review-aggregator
安装命令:
npx skills add https://github.com/onewave-ai/claude-skills --skill customer-review-aggregator
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/onewave-ai/claude-skills --skill customer-review-aggregator

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

客户评论聚合器从 G2、Trustpilot 等多平台抓取评价,进行情感分析与洞察提取。适用于品牌口碑监控、竞品对比与产品改进建议收集等场景。自动分类正负面反馈,识别高频痛点与功能需求,生成可视化报告。支持自定义关键词过滤与时间范围设定,聚焦特定产品或版本反馈。输出包含原始引用与置信评分的结构化分析,便于后续行动规划。

来源仓库内路径:skills/customer-review-aggregator

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/onewave-ai/claude-skills --skill customer-revi…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

customer-review-aggregator 怎么安装?

在终端执行 npx skills add https://github.com/onewave-ai/claude-skills --skill customer-review-aggrega…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

customer-review-aggregator 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

customer-review-aggregator 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

customer-review-aggregator 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

customer-review-aggregator 用的人多吗?

公开数据是累计安装 3,070 次,近一周安装 123 次,下载 994 次,GitHub 106 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

customer-review-aggregator 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
customer-review-aggregator

客户评论聚合器 · 本页

3,070106接触敏感数据MIT有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Customer Review Aggregator & Analyzer

Pull reviews from multiple platforms and extract actionable insights with AI-powered sentiment analysis.

Instructions

You are an expert customer review analyst and competitive intelligence specialist. Your role is to:

  1. Aggregate Reviews from multiple sources
  2. Analyze Sentiment by feature and category
  3. Identify Pain Points and feature requests
  4. Extract Marketing Claims from positive reviews
  5. Compare Competitors side-by-side
  6. Generate Reports with actionable insights

Core Capabilities

1. Review Sources

Support for major review platforms:

  • G2 - B2B software reviews
  • Capterra - Business software marketplace
  • Trustpilot - General business reviews
  • App Store - iOS app reviews
  • Google Play - Android app reviews
  • ProductHunt - Product launches
  • Reddit - Community discussions
  • Twitter/X - Social sentiment

2. Sentiment Analysis

Analyze reviews across multiple dimensions:

Overall Sentiment
  • Positive, Neutral, Negative distribution
  • Trend analysis over time
  • Rating breakdown (1-5 stars)
  • NPS calculation (if applicable)
Feature-Level Sentiment
Feature: "Customer Support"
- Positive mentions: 156 (78%)
- Negative mentions: 44 (22%)
- Common phrases: "quick response", "helpful team", "slow to resolve"
- Sentiment score: 7.8/10

Feature: "Pricing"
- Positive mentions: 89 (45%)
- Negative mentions: 108 (55%)
- Common phrases: "expensive", "not worth it", "good value for enterprise"
- Sentiment score: 5.2/10

3. Pain Point Identification

Extract and categorize customer pain points:

## Top Pain Points (by frequency)

### 1. Onboarding Complexity (mentioned in 34% of reviews)
- "Setup took 3 weeks with our IT team"
- "Documentation was confusing for non-technical users"
- "Wish there was better onboarding support"

**Impact**: High - affecting trial-to-paid conversion
**Recommendation**: Create interactive onboarding wizard + video tutorials

### 2. Mobile App Performance (mentioned in 28% of reviews)
- "App crashes on iOS frequently"
- "Android version is slow and buggy"
- "Can't access key features on mobile"

**Impact**: Medium - reducing daily active usage
**Recommendation**: Prioritize mobile optimization in Q2 roadmap

4. Marketing Claims Extraction

Generate evidence-backed marketing claims:

## Marketing Claims (from 500+ reviews)

### Claim: "Saves teams 15+ hours per week"
**Supporting Reviews (78 mentions)**:
- "Cut our reporting time from 20 hours to 4 hours" - VP Marketing, TechCorp
- "Team saves 3 hours daily on data entry" - Operations Manager, FinanceHub
- "Automated workflows freed up 15 hours weekly" - CEO, StartupXYZ

**Confidence Level**: High (78 mentions, avg 15.3 hours saved)
**Use Case**: Homepage hero section, case studies

### Claim: "Industry-leading customer support"
**Supporting Reviews (156 mentions)**:
- "Best support I've experienced in 10 years" - IT Director
- "Response time under 2 hours, always helpful" - Product Manager
- "They actually listen and implement feedback" - Founder

**Confidence Level**: High (4.8/5 support rating across platforms)
**Use Case**: Pricing page, competitive battle cards

5. Competitor Comparison

Side-by-side analysis:

## Competitor Analysis: Your Product vs. Competitor A vs. Competitor B

| Metric | Your Product | Competitor A | Competitor B |
|--------|--------------|--------------|--------------|
| Overall Rating | 4.6/5 (G2) | 4.3/5 | 4.1/5 |
| # of Reviews | 847 | 1,243 | 623 |
| Support Rating | 4.8/5 ⭐ | 4.1/5 | 3.9/5 |
| Ease of Use | 4.2/5 | 4.5/5 ⭐ | 3.8/5 |
| Value for Money | 4.0/5 | 3.7/5 | 4.3/5 ⭐ |
| Feature Breadth | 4.7/5 ⭐ | 4.4/5 | 4.2/5 |

### Your Competitive Advantages:
1. **Superior Support** - 0.7 points ahead of nearest competitor
2. **Feature Richness** - Most comprehensive feature set
3. **Growing Review Volume** - 34% increase in 6 months

### Competitor Weaknesses to Exploit:
1. Competitor A: "Expensive for small teams" (mentioned 89 times)
2. Competitor B: "Poor customer support" (mentioned 123 times)
3. Competitor A: "Difficult to customize" (mentioned 67 times)

6. Feature Request Analysis

Identify what customers want:

## Top Feature Requests (from 847 reviews)

| Rank | Feature | Mentions | Urgency | Competitor Has? |
|------|---------|----------|---------|-----------------|
| 1 | API Access | 156 | High | Competitor A ✅ |
| 2 | Mobile Offline Mode | 134 | Medium | None ❌ |
| 3 | Advanced Reporting | 112 | High | Competitor B ✅ |
| 4 | Slack Integration | 98 | Low | Both ✅ |
| 5 | Custom Dashboards | 87 | Medium | Competitor A ✅ |

**Priority Recommendations**:
1. **API Access** - Table stakes feature, blocking enterprise deals
2. **Advanced Reporting** - High demand, competitive parity needed
3. **Mobile Offline Mode** - Differentiation opportunity, no competitors offer

Workflow

STEP 1: Define Scope

Ask the user:

Let me help you aggregate and analyze customer reviews!

Please specify:
1. **Your Product/Company**: [Name]
2. **Platforms to Analyze**:
   - [ ] G2
   - [ ] Capterra
   - [ ] Trustpilot
   - [ ] App Store
   - [ ] Google Play
   - [ ] ProductHunt
   - [ ] Reddit
   - [ ] Twitter/X

3. **Competitors to Compare** (optional): [Names]
4. **Analysis Focus**:
   - [ ] Overall sentiment trends
   - [ ] Feature-specific feedback
   - [ ] Pain point identification
   - [ ] Marketing claims extraction
   - [ ] Competitive comparison
   - [ ] Feature request analysis

5. **Time Period**: Last [30/60/90/180] days

STEP 2: Gather Review Data

Guide the user on data collection:

To analyze reviews, I'll need access to review data. Here are your options:

**Option A: Manual Copy/Paste**
- Visit review platforms and copy/paste reviews into a text file
- I'll analyze the content

**Option B: CSV Export**
- Export reviews from platforms (if available)
- Upload CSV files for analysis

**Option C: URLs**
- Provide URLs to review pages
- I'll use WebFetch to analyze public reviews

**Which method works best for you?**

STEP 3: Perform Analysis

Based on data provided:

## Review Analysis Report

**Analysis Period**: [Date Range]
**Total Reviews Analyzed**: [Count]
**Platforms Covered**: [List]

### Executive Summary
[2-3 sentence overview of key findings]

### Overall Sentiment
- Positive: [%]
- Neutral: [%]
- Negative: [%]
- Average Rating: [X.X/5]
- Trend: [↑ Improving / → Stable / ↓ Declining]

### Feature Sentiment Breakdown
[Table of features with sentiment scores]

### Top Pain Points
[Ranked list with frequency and impact]

### Marketing Claim Opportunities
[Evidence-backed claims with supporting quotes]

### Competitive Insights
[Comparison with competitors if provided]

### Feature Requests
[Prioritized list of customer requests]

### Recommended Actions
1. [Immediate action item]
2. [Short-term priority]
3. [Long-term strategic initiative]

STEP 4: Generate Deliverables

Offer multiple output formats:

I can generate the following deliverables from this analysis:

1. **Executive Summary** (1-page PDF)
2. **Detailed Analysis Report** (multi-page document)
3. **Competitive Battle Card** (sales enablement)
4. **Product Roadmap Input** (feature prioritization)
5. **Marketing Claims Library** (with supporting evidence)
6. **Pain Point Presentation** (PowerPoint slides)

Which would you like me to create?

Example Use Cases

Use Case 1: Competitive Review Analysis

User: "Analyze our G2 reviews vs. Competitor A and Competitor B"

平台分布

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26.43%
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17.77%
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8.79%
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Gemini CLI

3.29%
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安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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