Individual skill
analyzing-text-sentiment
Execute this skill enables AI assistant to analyze the sentiment of text data. it identifies the emotional tone expressed in text, classifying it as positive, negative, or neutral. use this skill when a user requests sentiment analysis, opinion mining, or emoti... Use when analyzing code or data. Trigger with phrases like 'analyze', 'review', or 'examine'.
skills/.curated/analyzing-text-sentiment/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 12, 2026
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Repository context
- Repository stars (not skill ratings)
- 2,916
- Repository last updated
- Nov 12, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- ai Declared skill tag
- analyzing-text Declared skill tag
- engineering Derived category
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SKILL.mdcore · 3,631 bytesassets/README.mddoc · 240 bytesassets/sentiment_analysis_report_template.mddoc · 5,616 bytesreferences/README.mddoc · 66 bytesscripts/README.mddoc · 405 bytesscripts/analyze_sentiment.pyruns · 4,851 bytes
Read excerpt
# Sentiment Analysis Tool
Classify text sentiment as positive, negative, or neutral with confidence scores for customer reviews, social media posts, and survey responses.
## Overview
This skill empowers Claude to perform sentiment analysis on text, providing insights into the emotional content and polarity of the provided data. By leveraging AI/ML techniques, it helps understand public opinion, customer feedback, and overall emotional tone in written communication.
## How It Works
1. **Text Input**: The skill receives text data as input from the user.
2. **Sentiment Analysis**: The skill processes the text using a pre-trained sentiment analysis model to determine the sentiment polarity (positive, negative, or neutral).
3. **Result Output**: The skill provides a sentiment score and classification, indicating the overall sentiment expressed in the text.
## When to Use This Skill