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Found 91 Skills
Collect comments from Kuaishou — text, author, timestamp, likes, replies. Use when the user wants to mine audience feedback, questions, or sentiment.
Community sentiment via Gate-News MCP, X/Twitter-first. Use for social discussion, KOL takes, or opinion on a coin or topic. Triggers: what does the community think about ETH, Twitter or X sentiment, what are people saying, KOL opinions. Reddit, Discord, Telegram when search_ugc is available; until then label output as X/Twitter-only. Tools: news_feed_search_x, news_feed_get_social_sentiment.
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.
When the user wants to build or improve a sales bot's ability to identify emerging objections across campaigns. Also use when the user mentions "objection patterns," "objection learning," "new objection detection," "objection analysis," or "objection flagging."
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.
Chinese public opinion analytics platform integrating 26 trending lists from 15 platforms with LLM-powered sentiment analysis, topic clustering, and multi-channel alert push
Use when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or voice-of-customer insights from public social posts and videos.
Real-time cryptocurrency sentiment analysis using Twitter/X via Grok. Use when analyzing crypto sentiment, tracking whale activity, or gauging market fear/greed.
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'.
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".
Use when the user asks to "track our share of voice", "what share of the conversation do we own vs competitors", or "trend our SOV this quarter"; computes SOV% = brand mentions ÷ (brand + competitor panel mentions) per platform per period on a LOCKED competitor panel — a panel switch invalidates the trend (restart the series and log the break; the ECHO O3 rule) — plus a sentiment-weighted SOV variant (sentiment labeled Estimated unless human-coded) and a Wikipedia-pageviews attention-share alternative; built from keyless listening connectors, gdelt.py news echo, and user exports — public counts only, closed platforms are never scraped. Not for backlink or offsite SEO signals — use offsite-signal-analyzer. 声量份额/竞品声量对比/提及份额/注意力份额
Deep-dive analysis of a single topic — heat curve, lifecycle stage, viral anomaly check, near-future prediction, related events, and sentiment evolution via the trendradar MCP. Use when the user asks 深挖XX / 这个话题怎么演变的 / XX 的趋势 / 生命周期 / XX 会不会火 / 异常热度 / 舆情演化 / 把 XX 说清楚 / predict X 的走势 / deep dive on X.