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Customer Feedback Analyzer

Checked
nicepkg·vlatest·marketing·MIT

Analyzes customer feedback to identify key themes and sentiment, helping businesses understand customer needs & improve products/services.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add nicepkg/ai-workflow --skill customer-feedback-analyzer --full-depth -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

nicepkg

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned nicepkg/ai-workflow at d167b41af7.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
d167b41af7
Manifest
workflows/product-manager-workflow/.claude/skills/customer-feedback-analyzer/SKILL.md
Scanned
2 files, 476 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The Customer Feedback Analyzer skill analyzes customer feedback data to identify key themes and sentiment. It can process text from various sources like surveys, reviews, or support tickets. The tool summarizes findings into actionable insights, helping users understand customer perceptions and areas for improvement.

When to use it

  • Product Development: Analyze user reviews of a new product feature to gauge its success and identify potential issues.
  • Customer Support: Quickly summarize feedback from recent support interactions to highlight recurring problems or training needs.
  • Market Research: Process large volumes of online reviews to understand overall brand perception compared to competitors.
  • Survey Analysis: Extract key takeaways and sentiment trends from customer satisfaction surveys.

Key capabilities

  • Sentiment analysis (positive, negative, neutral)
  • Theme identification
  • Text summarization
  • Processing feedback from various sources

Example prompts

  • "Analyze these customer reviews and tell me the top 3 recurring themes: [paste reviews]"
  • “Summarize the sentiment expressed in this survey response: [paste survey text]”
  • "Identify any negative feedback regarding our new checkout process."

Tips & gotchas

The quality of analysis depends heavily on the clarity and completeness of the input customer feedback. Ensure the data is relatively clean and free from excessive noise for optimal results.