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Found 27 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 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.
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.
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.
Comprehensive market analyst skill that orchestrates all Octagon stock performance and market data skills. Use when conducting stock analysis, creating market reports, evaluating valuations, comparing sectors, or performing technical and sentiment analysis.
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.
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.
Unified macro intelligence feed — reads 7 sources, classifies events, scores sentiment, generates AI insights, exposes signals via HTTP API
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).
基于 Reddit API 进行深度调研并生成研究报告。支持搜索、获取帖子、评论分析、情感分析等功能
Analyze text content using both traditional NLP and LLM-enhanced methods. Extract sentiment, topics, keywords, and insights from various content types including social media posts, articles, reviews, and video content. Use when working with text analysis, sentiment detection, topic modeling, or content optimization.
Generate a structured daily market briefing based on YouTuber sentiment. Use when users want a morning report or daily market overview.