Summary
Pulls customer reviews from G2, Capterra, Trustpilot, app stores, and other platforms, then runs sentiment analysis to identify pain points, extract feature requests, and generate marketing claims backed by actual customer quotes. You can compare your product against competitors side by side, spot trends in what's breaking your NPS score, and build prioritized feature roadmaps based on what customers actually want. The output formats are practical: battle cards for sales, evidence-backed marketing claims, executive summaries. Works best when you need to turn hundreds of scattered reviews into actionable product or positioning decisions rather than manually reading through them.
Install to Claude Code
npx -y skills add onewave-ai/claude-skills --skill customer-review-aggregator --agent claude-codeInstalls into .claude/skills of the current project.
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Integrate web data into your AI product. One API to scrape website & brand data.
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On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
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Files
SKILL.mdView on GitHub
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.
Contents
references/sources.md- supported platforms and sentiment dimensionsreferences/intake-prompts.md- scope and data-collection prompts, example use casesreferences/output-templates.md- report templates for every analysis type
Workflow
- Define scope. Present the scope prompt from
references/intake-prompts.mdto 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.mdand 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.
Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
