Browse skills

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.

This tool analyzes trending topics on Weibo to identify popular discussions and sentiment, boosting social media insights & strategy.

Analyzes text documents, identifying key themes, sentiment, and potential risks/opportunities based on Oliver Kriska's expertise.

Analyzes articles for key themes, sentiment, and readability, offering insights to improve content understanding and effectiveness.

Automatically deploys code based on sentiment analysis of developer comments, optimizing for positive team morale.

Analyzes app store reviews to identify sentiment, common themes, and actionable feedback for developers.

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

Analyzes meeting transcripts to extract key decisions, action items, and sentiment, boosting productivity & understanding.

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

Proactively identifies and alerts on community forum health issues like spam, inactivity, or negative sentiment.

X Intelligence CLI — search, analyze, monitor, and engage on X/Twitter. Real-time search, AI-powered analysis, sentiment reports, bookmarks, trending topics, and following management.

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

This skill analyzes text to gauge cultural nuances and sentiment, offering insights into audience understanding & messaging effectiveness.

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