sentiment-analysis
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.
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Weekly or total install activity from catalog data
npx skills add https://github.com/phuryn/pm-skills --skill sentiment-analysis
As of May 1, 2026, sentiment-analysis has 642 weekly installs, 0 community reviews on SkillJury. Community votes currently stand at 0 upvotes and 0 downvotes. Source: phuryn/pm-skills. Canonical URL: https://skills.sh/phuryn/pm-skills/sentiment-analysis.
Source description provided by the upstream listing. Community review signal and install context stay separate from this narrative layer.
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What does sentiment-analysis do?
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.
Is sentiment-analysis good?
sentiment-analysis does not have approved reviews yet, so SkillJury cannot publish a community verdict.
Which AI agents support sentiment-analysis?
sentiment-analysis currently lists compatibility with Skills CLI.
Is sentiment-analysis safe to install?
sentiment-analysis has been scanned by security audit providers tracked on SkillJury. Check the security audits section on this page for detailed results from Socket.dev and Snyk.
What are alternatives to sentiment-analysis?
Skills in the same category include review-management, conversation-memory, coverage, grimoire-aave.
How do I install sentiment-analysis?
Run the following command to install sentiment-analysis: npx skills add https://github.com/phuryn/pm-skills --skill sentiment-analysis
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