Translate multilingual macro news and extract greed/fear sentiment signals.
npx skills add https://github.com/SennTse/openclaw-backup --skill macro-sentiment
Please help me install this Agent Skill. Skill: macro-sentiment Source: https://github.com/SennTse/openclaw-backup/tree/main/skills/macro-sentiment Command: npx skills add https://github.com/SennTse/openclaw-backup --skill macro-sentiment
全球宏观新闻的多语言理解与社交情绪穿透，帮助用户从多源信息中提取市场情绪信号并对原文与解读进行对比分析。
Query macro-sentiment with a topic to start monitoring global news and extract translated sentiment signals.
High-intent search queries and answers about installing and using this skill.
To extract market sentiment signals from multilingual macro news, this Skill identifies global macro news and social sentiment signals, automatically translating non-Chinese content to synthesize greed and fear indicators.
The best way to compare policy wording with media narratives is through emotion scoring and disparity analysis, which explicitly highlights discrepancies between original policy texts and their media interpretations.
Yes, you can monitor global social media sentiment and macro news without manual translation, as the Skill automatically translates non-English multilingual sources while extracting core policy logic and sentiment signals.
To start tracking greed and fear signals, query the Skill with a specific topic to initiate deterministic execution, which sniffs multilingual global news and extracts translated sentiment signals.
Yes, this macro sentiment analysis tool works for both policy discourse and market trend scenarios, applying sentiment extraction across mainstream media and social networks to identify trend signals and biases.
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