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.
SkillScore59Maintained
Automatic
◆Product Management pack
Last verified 8/24/2026
What it changes
Passed 13 of 22 test cases with the skill, and 8 of 22 without it.
Without skill36%
With skill59%
Checks it passed that the model alone missed
Routes negative reviews toward pain point clustering.
Assigns an explicit confidence level to each marketing claim.
Uses urgency level as a criterion for feature request ranking.
and 9 more in the full report
8 fixed5 passed either way6 still failing3 broke
Pass-rate lift
+23 pp
Tokens
+1%
Agent turns
0%
Response time
-8%
Model gemini-3.6-flashMeasured 8/24/2026v113 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 8
Prompt
I have a dataset of customer reviews from online storefronts for our smart thermostat. Please conduct a comprehensive analysis that clusters negative feedback by theme and impact, pulls evidence-backed claims from top reviews, and packages everything into a structured summary report.
What was checked, without and with the skill
Checked
Without skill
With skill
Prompts for scope definition parameters prior to processing the review dataset.
Missed
Passed
Offers CSV upload as an option for review data collection.
Passed
Passed
case-03 · gemini-3.6-flash · 8/24/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md22 lines4 files
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
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.