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'.
5.2
Rating
0
Installs
AI & LLM
Category
The skill provides a reasonable foundation for sentiment analysis with clear use cases and examples. The description covers basic capabilities (positive/negative/neutral classification) and appropriate trigger scenarios. Task knowledge is adequate with referenced Python scripts (analyze_sentiment.py, example_usage.py) that presumably implement the functionality. However, the structure suffers from generic boilerplate sections (Prerequisites, Error Handling) that add clutter without specific details. The novelty score is modest because sentiment analysis is a well-established NLP task that modern CLI agents with API access can perform reasonably well without a dedicated skill. The skill would benefit from: (1) removing generic sections and keeping only sentiment-specific content, (2) clearer specification of which sentiment model/library is used, (3) more detail on output format (scores, confidence levels, etc.), and (4) differentiation showing why this packaged skill is meaningfully better than direct API calls to sentiment analysis services.
jeremylongshore
Skill Author
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