Browse skills

Analyzes App Store reviews to identify common themes and sentiment, providing insights for developers to improve their apps.

Omc analyzes text to extract key information like entities, relationships, and sentiment – useful for rapid data understanding & insights.

Jeo analyzes text to identify potential emotional tones and sentiments, offering insights into user feelings for improved understanding.

Analyze stock performance, trends, and news sentiment to identify potential investment opportunities quickly.

Quickly extracts key facts, relationships, and sentiment from text passages to inform decision-making.

This skill scrapes Reddit for trending topics and insights, providing valuable real-time data and sentiment analysis.

Analyzes text content to provide concise summaries, sentiment scores, and key topic identification.

This skill analyzes tweets to extract insights about trending topics, sentiment, and mentions – valuable for social listening and brand monitoring.

Sentiment Trend Tracking — provides AI agent assistance for software development workflows.

Negative Sentiment De Escalation — provides AI agent assistance for software development workflows.

Analyzes customer feedback to identify key themes and sentiment, helping businesses understand customer opinions and improve products/services.

Sap Cap Capire analyzes text for sentiment and key concepts (sap, cap, capire) to understand nuanced opinions and extract valuable insights.

Analyzes project sentiment & team morale to proactively suggest workflow adjustments and boost productivity.

Vibe Research analyzes text to determine its emotional tone and overall feeling, offering insights into sentiment and atmosphere.

This tool analyzes conversations to identify key themes, sentiment, and entities, providing valuable insights for understanding communication patterns.

Automatically assigns numerical scores to text reviews based on sentiment, content, and specified criteria.

Synthesizes customer reviews from multiple sources to identify key product strengths, weaknesses, and sentiment trends.

Analyzes text data using JSchulte's methods to identify patterns, sentiment, and potential areas for improvement.

This skill fetches Polymarket book odds for a given token, providing valuable insights into market sentiment and potential price movements.

Analyzes Bilibili content (videos, comments) to extract insights like trending topics and sentiment, boosting research & understanding.

Analyzes product reviews to identify recurring themes, sentiment, and actionable feedback for improvement.

This skill fetches real-time Polymarket trade data and displays it, useful for analyzing prediction market sentiment and trends.

This Sentiment Analyzer skill detects and categorizes emotional tones (positive, negative, neutral) in text, boosting understanding & response accuracy.

Analyzes text data to identify key themes, sentiment, and relationships, providing concise summaries and insights.