customer-review-aggregator — Claude Code skill: review analysis
Pulls reviews from G2, Capterra, Trustpilot and the App Store, scores sentiment and turns complaints into a report.
npx skills add OneWave-AI/claude-skills --skill customer-review-aggregator -a claude-codeWhat customer-review-aggregator does
The skill runs the analysis in steps. First it asks about your product, the platforms, competitors and the time period, then collects the reviews themselves. You can paste them as text, upload a CSV, or hand over URLs for WebFetch to fetch. Sentiment is scored for the whole set and again per feature.
Negative feedback gets clustered by theme and ranked by how often it shows up, with an impact rating and a recommendation attached to each cluster. Positive reviews feed marketing claims, each one backed by quotes and a confidence level. Name a competitor and you also get a side-by-side comparison that points at their weak spots. Feature requests are ranked by mention count and competitor coverage.
Three reference files ship with it: references/sources.md for platforms and sentiment dimensions, references/intake-prompts.md for the data-collection prompts, references/output-templates.md for report templates. Review URLs go through WebFetch, so anything behind a login won't come back — worth checking before you plan a run around a gated platform.
What it helps with
- merge reviews from several platforms into one report
- find repeated complaints and rank them by frequency
- pick review quotes to back up marketing claims
- compare your product against a competitor's reviews
- see which features customers ask for most
Example prompts for the agent
- Analyze our G2 and Capterra reviews from the last quarter and list the main pain points
- Pull a competitor's App Store reviews and show what people complain about most
- Extract landing-page claims from positive reviews, with quotes
How to install customer-review-aggregator
1Skills CLI (Vercel)
npx skills add OneWave-AI/claude-skills --skill customer-review-aggregator -a claude-code2Manually: put the files in place
~/.claude/skills/customer-review-aggregator/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/customer-review-aggregator/
1Skills CLI (Vercel)
npx skills add OneWave-AI/claude-skills --skill customer-review-aggregator -a codex2Manually: put the files in place
.agents/skills/customer-review-aggregator/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add OneWave-AI/claude-skills --skill customer-review-aggregator -a cursor2Manually: put the files in place
.cursor/skills/customer-review-aggregator/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install OneWave-AI/claude-skills customer-review-aggregator2Manually: put the files in place
.github/skills/customer-review-aggregator/SKILL.md1Skills CLI (Vercel)
npx skills add OneWave-AI/claude-skills --skill customer-review-aggregator -a gemini-cli2Platform CLI
gemini skills install https://github.com/OneWave-AI/claude-skills --path customer-review-aggregatorManually: put the files in place
.devin/skills/customer-review-aggregator/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add OneWave-AI/claude-skills --skill customer-review-aggregator -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about customer-review-aggregator
How do I install customer-review-aggregator in Claude?
Run npx skills add OneWave-AI/claude-skills --skill customer-review-aggregator -a claude-code. It lands at ~/.claude/skills/customer-review-aggregator/SKILL.md.
What does customer-review-aggregator do?
It aggregates reviews from several platforms, scores sentiment, identifies pain points, extracts marketing claims and compares competitor reviews.
Where does it get the reviews from?
Three routes: paste the text, upload a CSV, or provide URLs for WebFetch. Pages behind a login won't work with the last one.
Source text
SKILL.md · MIT
--- name: customer-review-aggregator description: 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. --- # 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 dimensions - `references/intake-prompts.md` - scope and data-collection prompts, example use cases - `references/output-templates.md` - report templates for every analysis type ## Workflow 1. Define scope. Present the scope prompt from `references/intake-prompts.md` to capture product, platforms, competitors, analysis focus, and time period. 2. Gather review data. Offer the three data-collection methods (paste, CSV upload, URLs via WebFetch) from `references/intake-prompts.md` and collect the reviews. 3. Analyze sentiment. Score overall sentiment and feature-level sentiment using the dimensions in `references/sources.md`. 4. Identify pain points. Cluster negative feedback by theme, rank by frequency, and assign impact plus a recommendation. 5. Extract marketing claims. Derive evidence-backed claims from positive reviews, each with supporting quotes, a confidence level, and a use case. 6. Compare competitors. When competitors are provided, build the side-by-side comparison and surface weaknesses to exploit. 7. Analyze feature requests. Rank requested features by mention count, urgency, and competitor coverage. 8. Assemble the report. Populate the full analysis report and offer deliverable formats. For all output formats and tables, see `references/output-templates.md`.
© OneWave-AI · MIT · OneWave-AI/claude-skills
