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Found 62 Skills
Set up and conduct media monitoring to track brand mentions, sentiment, and share of voice across news, social, and online channels. Use this skill when the user needs to track what's being said about their brand, monitor competitors' media presence, detect emerging PR issues early, or measure campaign reach — even if they say 'what are people saying about us', 'monitor our brand mentions', 'track competitor PR', or 'set up media alerts'.
Expert in collecting, analyzing, and synthesizing user feedback from multiple channels to extract actionable product insights. Specializes in transforming qualitative feedback into quantitative pri...
Aggregated news, regulatory filings, and Longbridge-community discussion for a single stock — classified into catalyst / regulatory / strategic / financial / opinion / other, with a fact-only key-takeaway summary and a sentiment skew. Falls back to WebSearch only when data is sparse or stale, and labels the source. Triggers: "X 最近新闻", "X 公告", "市场对 X 财报怎么看", "X 社区讨论", "X 公司动态", "市场情绪", "最近怎么了", "X 最近新聞", "X 公告", "市場對 X 財報怎麼看", "X 社區討論", "recent news", "company filings", "market reaction", "what is everyone saying about X", "community sentiment", "8-K", "港交所披露", "earnings reaction".
亚马逊细分市场评论分析与消费者情感洞察。当用户提到细分市场评论分析、消费者情感、用户痛点、客户反馈洞察、评论主题分析、好评差评拆解、细分市场舆情挖掘、产品评论情感分析、niche market reviews, consumer sentiment, customer pain points, review topic analysis, positive/negative reviews, opinion mining, Jiimore data时触发此技能。即使用户未明确提及"细分市场评论"，只要其需求涉及分析亚马逊细分市场中的消费者评论或理解细分市场层面的客户情感，也应触发此技能。
Multi-platform public opinion analysis assistant with web scraping, LLM-powered analytics, topic clustering, sentiment analysis, and multi-channel alerts
Brand monitoring and mention tracking via the Brand.dev API. Use when asked to monitor brand mentions, track sentiment, find PR opportunities, detect logo usage, or analyze brand presence online. Trigger phrases: "brand monitoring", "mention tracking", "brand sentiment", "PR opportunities", "logo detection", "brand.dev", "brand mentions", "media monitoring".
Execute this skill enables AI assistant to perform natural language processing and text analysis using the nlp-text-analyzer plugin. it should be used when the user requests analysis of text, including sentiment analysis, keyword extraction, topic modeling, or ... Use when analyzing code or data. Trigger with phrases like 'analyze', 'review', or 'examine'.
Text analytics using LLM APIs — sentiment analysis, customer feedback classification, document entity extraction, multi-language support (English/Luganda/Swahili), feedback aggregation, and NLP feature implementation for PHP/Android/iOS. Sources...
X/Twitter public sentiment research for recent market, company, product, or community discourse. Use when the brief asks what people are saying on X, Twitter sentiment, CT sentiment, public opinion, expert posts, or social reaction around a stock, sector, company, product, or market event.
Real-time cryptocurrency sentiment analysis using Twitter/X via Grok. Use when analyzing crypto sentiment, tracking whale activity, or gauging market fear/greed.
Identify stocks where market sentiment is significantly more negative than fundamentals warrant — the gap between narrative and reality. Use when the user asks to find contrarian opportunities, stocks with sentiment-fundamental misalignment, oversold but fundamentally strong companies, stocks punished by negative narratives, or wants to analyze whether market fear is justified for specific stocks or sectors.
AI-powered X/Twitter research via xAI Grok. Returns AI SUMMARIES with analysis, not raw tweets. Use for "what's trending", "social sentiment", "summarize X discussion about", "analyze X conversation about", "research topic on X". For RAW tweet data, use x-user-timeline, x-tweet-search, x-tweet-fetch instead. Requires XAI_API_KEY.