Sentiment Analyzer
Skill Verified ActiveAnalyze sentiment in text using ML models. Use when: analyzing customer reviews; processing NPS feedback; monitoring brand mentions; evaluating campaign responses; categorizing support tickets
To understand the sentiment expressed in text data at scale, enabling better analysis of customer feedback, brand mentions, and campaign responses.
Features
- Analyze sentiment in single text inputs
- Perform batch sentiment analysis on CSV files
- Generate HTML sentiment analysis reports
- Support for multiple sentiment analysis models (simple, VADER, transformer)
Use Cases
- Analyzing customer reviews for product feedback
- Processing NPS survey responses to gauge satisfaction
- Monitoring brand sentiment across social media mentions
- Evaluating audience response to marketing campaigns
Non-Goals
- Replacing statistical expertise or business decision-making
- Guaranteeing absolute prediction accuracy
- Accessing or processing user's private data without explicit input
Installation
npx skills add guia-matthieu/clawfu-skillsRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
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