Can I use this for financial market analysis?

Yes, the skill includes specialized functions for stock ($TICKER) and cryptocurrency sentiment tracking, including fear/greed indicators and whale mentions.

Does it support historical sentiment data?

The skill allows for sentiment tracking over different periods such as the last hour, last 24 hours, and the last week to identify momentum and trends.

How is the sentiment score measured?

Sentiment is measured on a scale from -1.0 (Very Bearish/Negative) to 1.0 (Very Bullish/Positive), with 0.0 representing a neutral or balanced stance.

What model does the xAI Sentiment skill use?

It utilizes the Grok-4-1-fast model via the xAI API, specifically optimized for high-speed, real-time analysis of social media content.

xAI Sentiment Analysis

Name: xAI Sentiment Analysis
Author: adaptationio

byadaptationio

Data Science & ML

Performs real-time sentiment analysis on Twitter/X content using Grok's native integration and natural language processing.

About

This skill empowers Claude to perform deep sentiment analysis on X (formerly Twitter) data by leveraging the Grok API. It enables users to track market moods, analyze public opinion on specific topics, and identify trending narratives with high precision. By providing structured JSON outputs including sentiment scores, confidence levels, and key themes, it facilitates the integration of social signals into financial models, brand monitoring workflows, and data science projects.

Key Features

Comparative analysis between multiple topics, brands, or competitors
Temporal tracking to analyze sentiment shifts over time
Detailed extraction of key themes, influencer sentiment, and trending hashtags
0 GitHub stars
Real-time sentiment scoring on a scale from -1.0 to 1.0
Specialized financial sentiment analysis for stocks and crypto

Use Cases

Tracking public reaction and brand health during a product launch or marketing campaign
Monitoring market sentiment for specific stock tickers or cryptocurrencies to inform trading
Aggregating social mood to detect emerging narratives and viral trends before they peak

About

Key Features

Comparative analysis between multiple topics, brands, or competitors
Temporal tracking to analyze sentiment shifts over time
Detailed extraction of key themes, influencer sentiment, and trending hashtags
0 GitHub stars
Real-time sentiment scoring on a scale from -1.0 to 1.0
Specialized financial sentiment analysis for stocks and crypto

Use Cases

Tracking public reaction and brand health during a product launch or marketing campaign
Monitoring market sentiment for specific stock tickers or cryptocurrencies to inform trading
Aggregating social mood to detect emerging narratives and viral trends before they peak