How do I install the Customer Review Aggregator skill?

Run npx skillmds add onewave-ai/customer-review-aggregator in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Customer Review Aggregator safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Customer Review Aggregator?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Customer Review Aggregator free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Customer Review Aggregator?

onewave-ai (@onewave-ai) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Customer Review Aggregator by onewave-ai

Name: Customer Review Aggregator
Rating: 4.2 (5 reviews)
Author: onewave-ai

Customer Review Aggregator

Aggregate and analyze customer reviews from G2, Capterra, Trustpilot, App Store, and other platforms. Performs sentiment analysis, identifies pain points, extracts feature feedback, generates marketing claims, and compares competitor reviews. Use when users need review analysis, competitive intelligence, or customer feedback insights.

onewave-ai 95fe869 4 files · 9.3 KB Updated Sep 9, 2026

File contents

Customer Review Aggregator & Analyzer

Pull reviews from multiple platforms and extract actionable insights with sentiment analysis, pain-point detection, marketing-claim extraction, and competitor comparison.

references/sources.md - supported platforms and sentiment dimensions
references/intake-prompts.md - scope and data-collection prompts, example use cases
references/output-templates.md - report templates for every analysis type

Workflow

Define scope. Present the scope prompt from references/intake-prompts.md to capture product, platforms, competitors, analysis focus, and time period.
Gather review data. Offer the three data-collection methods (paste, CSV upload, URLs via WebFetch) from references/intake-prompts.md and collect the reviews.
Analyze sentiment. Score overall sentiment and feature-level sentiment using the dimensions in references/sources.md.
Identify pain points. Cluster negative feedback by theme, rank by frequency, and assign impact plus a recommendation.
Extract marketing claims. Derive evidence-backed claims from positive reviews, each with supporting quotes, a confidence level, and a use case.
Compare competitors. When competitors are provided, build the side-by-side comparison and surface weaknesses to exploit.
Analyze feature requests. Rank requested features by mention count, urgency, and competitor coverage.
Assemble the report. Populate the full analysis report and offer deliverable formats.

For all output formats and tables, see references/output-templates.md.

Frequently asked questions