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Found 38 Skills
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".
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).
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.
Aggregate customer feedback from multiple sources — support tickets, NPS comments, Slack messages, G2 reviews, call transcripts, survey responses — into a unified VoC report with theme clustering, sentiment analysis, trend detection, and actionable recommendations for product, marketing, and CS teams. Chains review-scraper for public review data.
Deploy and use an LLM-powered public opinion analytics assistant that crawls 26 hot lists from 15 platforms, performs sentiment analysis, topic clustering, and multi-channel alerting
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.
Unified macro intelligence feed — reads 7 sources, classifies events, scores sentiment, generates AI insights, exposes signals via HTTP API
Auto-sort, categorize, or label content using AI. Use when sorting tickets into categories, auto-tagging content, labeling emails, detecting sentiment, routing messages to the right team, triaging support requests, building a spam filter, intent detection, topic classification, or any task where text goes in and a category comes out.
Xiaohongshu Comment Public Opinion Analysis and Operation Suggestions. Activate this skill when users provide links to Xiaohongshu notes/videos and need to analyze comment public opinion, user feedback, emotional tendencies, or operation suggestions. This skill should also be activated even if users only say "Help me check the comments on this Xiaohongshu note" or "Analyze how this post is performing".
Multi-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X/Twitter within a configurable recent window (default 30 days). Forcing intake clarifies topic specificity, angle (trend/sentiment/problems/opportunities/comparison), time window, and platform scope before searching. Returns a synthesized briefing with citations, engagement metrics, and cross-platform pattern analysis. Triggers: 'pulse on [topic]', 'what's happening with [topic]', 'what are people saying about [topic]', 'current conversation about [topic]', 'take the pulse of [topic]', 'trending: [topic]', 'find me info on [topic]', or any variation requesting multi-source recency intelligence on a topic. Also use for competitor research, trend discovery, tool comparisons, and audience sentiment analysis.
Get recent news and sentiment for a stock. Use when user asks about news, headlines, sentiment, what's happening with a stock, or recent developments.
Generate a structured daily market briefing based on YouTuber sentiment. Use when users want a morning report or daily market overview.