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How to rank the complaints users have about an app with Replica Skill

Turn a CSV of linked reviews into ranked, sourced complaint themes.

Authorization notice. Replica Skill is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Who it is forA product person or founder looking for a positioning angle in an existing app's weak spots.

The problemReading hundreds of reviews by hand is slow, and quotes without sources are easy to misquote.

The outcomeRanked complaint themes with quotes, each tied to the URL of its source row.

What you need first

  • Claude or Claude Code installed
  • Git, to clone the repo or add the plugin
  • Python 3.8 or newer for the tools
  • Public pages, screenshots, or your own account for the app you want to study

Steps

  1. Collect the reviews into replica/reviews.csv with a link on every row
  2. Run python3 replica-entrepreneur/reviews.py replica/reviews.csv
  3. Check the sample size and the themes marked thin
  4. Use the top themes to pick fixes and a positioning angle

Prompt for your agent

Using the replica-skill repo (github.com/Jakeschincariol/replica-skill), run reviews.py on <replica/reviews.csv>. Expected output: ranked complaint themes with linked quotes. Verify that every quote printed matches a row in the input file and carries that row's URL.

Caveat. The tool only ranks reviews you supply, and the README says it drops any review without a link.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for Jakeschincariol/replica-skill and "Rank the complaints users have about an app"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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