analyzing-text-sentiment

Quick Review

This skill provides a well-structured overview of sentiment analysis capabilities with clear use cases and examples. However, it lacks critical implementation details: no actual sentiment analysis model, API integration, or executable code is provided. The description mentions 'pre-trained sentiment analysis model' and 'AI/ML techniques' but doesn't specify which tools, libraries (e.g., VADER, TextBlob, transformers), or methods will be used. A CLI agent would struggle to invoke this skill without concrete instructions on how to actually perform sentiment analysis with the allowed tools (Read, Write, Bash, Grep). The novelty is moderate since basic sentiment analysis libraries exist, but packaging it as a reusable skill has value. To improve: add actual implementation code/scripts, specify the sentiment analysis approach, and provide executable examples that demonstrate how the allowed tools accomplish the task.