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sentiment-analysisby Pawel HurynResearchGitHub stars: 27.4k

Sentiment Analysis skill: what it does and how to install it

Analyses user feedback to identify segments, score satisfaction, uncover recurring themes and prioritise product improvements.

Summary generated from the skill's documentation.

Install

$ npx skills add phuryn/pm-skills --skill sentiment-analysis

Run it in a terminal. If your agent is already running, start a new session so it picks the skill up.

About this skill

What it does. Analyses feedback from surveys, reviews, CSVs, PDFs and other sources, then identifies at least three user segments, scores sentiment from -1 to +1 and synthesises jobs-to-be-done, themes, pain points and product fit. It prioritises findings by frequency, severity and business impact, with recommendations for each segment.

When to use it. For analysing user feedback at scale, measuring satisfaction or finding improvement opportunities. It grounds findings in the available feedback, flags uncertain or small samples and distinguishes feature requests from fundamental pain points.

History

Repo stars

27.4k+670 since 1 Oct 2026

Stars are counted for the whole repository, which holds 64 skills.

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Repo stars by day
DateRepo stars
26 Oct 202627,385
25 Oct 202627,358
24 Oct 202627,335
23 Oct 202627,321
22 Oct 202627,293
21 Oct 202627,257
20 Oct 202627,243
19 Oct 202627,201
18 Oct 202627,156
17 Oct 202627,131
16 Oct 202627,108
15 Oct 202627,069
14 Oct 202626,995
13 Oct 202626,953
12 Oct 202626,914
11 Oct 202626,880
10 Oct 202626,866
9 Oct 202626,852
8 Oct 202626,833
7 Oct 202626,815
6 Oct 202626,807
5 Oct 202626,778
4 Oct 202626,757
3 Oct 202626,736
2 Oct 202626,728
1 Oct 202626,715

Installs

3.1k+73 since 19 Oct 2026

Installs via skills.sh

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Installs by day
DateInstalls
26 Oct 20263,072
25 Oct 20263,062
24 Oct 20263,051
23 Oct 20263,041
22 Oct 20263,027
21 Oct 20263,016
20 Oct 20263,008
19 Oct 20262,999

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