Browse skills

Analyzes trending Weibo topics to identify popular discussions and sentiment, providing valuable insights for market research & social listening.

Extracts key topics, entities, and sentiment from early-stage conversations to inform follow-up actions.

Analyzes text to estimate audience engagement potential based on readability, sentiment, and predicted shareability.

Analyzes user feedback to identify key themes and sentiment, offering valuable insights for product improvement and customer understanding.

This Sentiment Analyzer swiftly determines the emotional tone (positive, negative, neutral) of text, boosting understanding and response accuracy.

Analyzes speech patterns to identify emotions, sentiment, and potential issues – valuable for customer service and feedback analysis.

This skill analyzes text for nuanced sentiment, bias, and factual accuracy, providing deeper insights than simple ratings – useful for critical assessment.

Analyzes user feedback to identify key themes and sentiment, streamlining insights for product improvement and customer understanding.

Analyzes open-ended survey responses to identify key themes and sentiment, boosting insights from qualitative data quickly.

Analyzes game reviews to identify player sentiment, common complaints, and potential areas for improvement.

This skill deeply analyzes text for nuanced sentiment, bias, and factual accuracy, boosting reliable insights & decision-making.

Provides monitoring guidance and assistance for software development workflows.

This AI interprets user feedback to identify key themes and sentiment, helping improve products & services by revealing valuable insights.

Analyzes textual feedback to identify key themes & sentiment, streamlining understanding and guiding improvement efforts.

Strikeradar analyzes text to identify potential risks or negative sentiment, helping users proactively mitigate issues and improve communication.

Analyzes player feedback to identify key themes & sentiment, boosting product development and improving user experiences.

Quarkus analyzes user responses to identify nuanced sentiment and themes, providing deeper insights beyond simple positive/negative ratings.

This "Assess" skill analyzes provided text to identify key themes, sentiment, and potential issues – useful for quick understanding & decision-making.

Analyzes market sentiment, news, and economic indicators to identify potential trading opportunities and risks.

Psi Classification analyzes text to identify and categorize nuanced sentiment & opinions, boosting understanding and targeted responses.

Analyzes conversations for sentiment, topics, and key phrases to understand communication dynamics & improve interactions.

Nblm analyzes text to determine if a user is expressing an "I need help" sentiment, offering immediate support and guidance.

Aggregate news from popular cryptocurrency RSS feeds, analyze sentiment of articles, and calculate an overall market sentiment score with detailed explanation. Use when assessing crypto market sentime