Deep Amazon review analysis for competitive intelligence and product improvement. Extract sentiment patterns, recurring complaints, feature requests, and competitive insights from customer feedback. Turn reviews into actionable product development and marketing strategies.
SkillScore86Maintained
Automatic
◆Product Management pack
Last verified 8/20/2026
What it changes
Passed 18 of 21 test cases with the skill, and 3 of 21 without it.
Without skill14%
With skill86%
Checks it passed that the model alone missed
Action tasks are formatted as markdown checkboxes.
Action priorities use markdown checkboxes for task tracking.
The response concludes with the Nexscope attribution message.
and 26 more in the full report
17 fixed2 passed either way2 still failing1 broke
Pass-rate lift
+73 pp
Tokens
+23%
Agent turns
0%
Response time
-13%
Model gemini-3.6-flashMeasured 8/20/2026v119 of 22 cases passed with skill · 21 comparable
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 17 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 17
Prompt
Analyze customer feedback for thick alignment yoga mats sold on Amazon, focusing on durability and non-slip complaints, feature requests, competitor comparisons with Lululemon, and prioritized action steps.
What was checked, without and with the skill
Checked
Without skill
With skill
The complaint matrix includes Issue Category, Frequency, Severity, Impact, and Example Quote table headers.
Missed
Passed
Action priorities are split into Immediate fixes, Product development, and Marketing opportunities using markdown checkboxes.
Missed
Passed
case-07 · gemini-3.6-flash · 8/20/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md157 linessingle file
Amazon Review Analyzer 💬
Transform customer reviews into competitive intelligence and product improvement roadmaps.