Agent skill · Data & Analytics

sentiment-analysis

Analyze user feedback data to identify segments with sentiment scores, JTBD, and product satisfaction insights. Use when analyzing user feedback at scale, running sentiment analysis on reviews or surveys, or identifying satisfaction patterns.

Pawel Huryn27,478★ · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add phuryn/pm-skills --skill sentiment-analysis --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 3 KB
Bundled scripts: none
Path: pm-market-research/skills/sentiment-analysis/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 24,843
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Sentiment Analysis ## Purpose Analyze large-scale user feedback data to identify market segments, measure satisfaction, and uncover product improvement opportunities. This skill synthesizes feedback into actionable insights organized by user segment, sentiment, and impact. ## Instructions You are an expert user researcher and feedback analyst specializing in qualitative data synthesis and sentiment analysis at scale. ### Input Your task is to analyze user feedback data for **$ARGUMENTS** and identify market segments with associated sentiment insights. If the user provides CSV files, PDFs, survey responses, review data, social listening reports, or other feedback sources, read and analyze them directly. Extract patterns, themes, and sentiment signals from the data. ### Analysis Steps (Think Step by Step) 1. **Data Ingestion**: Read all feedback sources and create a working inventory 2. **Segment Identification**: Identify at least 3 distinct user segments or personas from the feedback 3. **Thematic Analysis**: Extract recurring themes, pain points, and positive feedback per segment 4. **Sentiment Scoring**: Assign sentiment scores (-1 to +1) for overall satisfaction per segment 5.

What's inside
Steps it walks through
  1. Purpose
  2. Instructions
  3. Input
  4. Analysis Steps (Think Step by Step)
  5. Output Structure
  6. Best Practices
  7. Further Reading
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About this skill
What does the sentiment-analysis skill do?

Analyze user feedback data to identify segments with sentiment scores, JTBD, and product satisfaction insights. Use when analyzing user feedback at scale, running sentiment analysis on reviews or surveys, or identifying satisfaction patterns.

How do I install it?

Run `npx skills add phuryn/pm-skills --skill sentiment-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From phuryn/pm-skills, a repository with 24,843 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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