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Found 48 Skills
Analyze user feedback data to identify segments with sentiment scores, JTBD, and product satisfaction insights. Use when analyzing user feedback at scale, running sentiment analysis on reviews or surveys, or identifying satisfaction patterns.
World-class alternative data and sentiment analysis for trading - social media, news, on-chain data, positioning. Extract alpha from information others miss. Use when "sentiment, alternative data, social media trading, news trading, twitter signals, on-chain, whale watching, fear greed, positioning, " mentioned.
Use to interpret qualitative feedback, trends, and risks across community channels.
Conduct comprehensive sentiment analysis of Reddit discussions for any product, brand, company, or topic. Analyzes what people like, dislike, and wish were different with structured output summaries.
Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text. Triggers: "text analytics", "sentiment analysis", "entity recognition", "key phrase", "PII detection", "TextAnalyticsClient".
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 sentiment for trading decisions, research, or monitoring trends from RSS sources.
Aggregate and analyze customer reviews from G2, Capterra, Trustpilot, App Store, and other platforms. Performs sentiment analysis, identifies pain points, extracts feature feedback, generates marketing claims, and compares competitor reviews. Use when users need review analysis, competitive intelligence, or customer feedback insights.
Use this skill to analyze product reviews, find common issues, and prioritize improvements. Triggers: "analyze reviews", "review analysis", "customer feedback", "what are people saying", "product reviews", "review sentiment", "find complaints", "customer complaints", "improvement recommendations", "voice of customer", "VOC analysis", "feedback analysis" Outputs: Prioritized issues, sentiment analysis, improvement recommendations.
Search tweets and Twitter/X content using Exa advanced search. Limited filter support - text and domain filters are NOT supported. Use when searching for tweets, Twitter/X discussions, or social media sentiment.
Use this skill when the user asks about: 'any crypto news', 'what happened recently', 'latest news', 'any big news today', 'catch me up', 'market update', 'daily briefing', 'morning briefing', 'market summary', 'BTC news', 'ETH news', 'any news on SOL', 'coin updates', 'what's going on with BTC', 'search SEC ETF', 'stablecoin regulation news', 'Bitcoin halving news', 'is BTC bullish or bearish', 'coin sentiment', 'how do people feel about ETH', 'sentiment trend', 'what's hot in crypto', 'trending coins', 'most mentioned coins', 'top bullish coins', 'bearish sentiment', 'social buzz', 'market mood', 'fear and greed', 'news sources', 'which platforms', 'full article', 'read more', or any request for crypto news, market intelligence, sentiment analysis, or social trend data. Requires API credentials. Do NOT use for market prices/candles (use okx-cex-market), placing orders (use okx-cex-trade), or account info (use okx-cex-portfolio).
Analyze Reddit threads for sentiment, consensus opinions, top arguments, and discussion patterns. Use this when users want to understand Reddit community opinions, analyze discussions, or gather insights from subreddit conversations.
Real-time stock sentiment analysis using Twitter/X data via Grok. Use when analyzing stock ticker sentiment, tracking retail investor mood, or gauging market reaction to events.