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daily-trending

Fetch today's trending topics from tophub.today across multiple platforms. Triggered when users ask "what's trending today", "hot topics", "今日热搜", or "微博热搜".

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=netease-youdao-lobsterai-skills-daily-trending-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
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name daily-trending description Fetch today's trending topics from tophub.today across multiple platforms. Triggered when users ask "what's trending today", "hot topics", "今日热搜", or "微博热搜". official true Daily Trending Fetch today's trending topics by scraping data from various platforms via tophub.today. Data Collection Multi-Platform Trending Lists Fetch trending lists from the following platforms on tophub.today: Zhihu Hot List: /n/mproPpoq6O Weibo Trending: /n/KqndgxeLl9 Baidu Real-time Hot Topics: /n/Jb0vmloB1G 36Kr 24-Hour Hot List: /n/Q1Vd5Ko85R Huxiu Hot Articles: /n/5VaobgvAj1 The Paper Hot List: /n/wWmoO5Rd4E Fetching Strategy To avoid context overflow, fetch in batches with character limits! Option A: Core Platforms First (Recommended) Use web-search skill or web_fetch to fetch only 2-3 core platforms: web_fetch("https://tophub.today/n/KqndgxeLl9") # Weibo web_fetch("https://tophub.today/n/mproPpoq6O") # Zhihu web_fetch("https://tophub.today/n/Jb0vmloB1G") # Baidu Fetching Priority: Prioritize Weibo + Zhihu + Baidu (covers 90% of hot topics) Only fetch other platforms if suitable topics are not found in these 3 Fetch one platform at a time, filter immediately, then decide whether to fetch the next Filtering Criteria From all platform trending lists, filter out truly important topics : Include: Major Events: Significant policies, international relations, social events Hot Discussion Topics: Topics that spark widespread discussion Factual Content: Keep the events themselves without commentary Exclude: Headlines with subjective commentary Pure entertainment gossip Obvious promotional content Emotional expressions Output Requirements: Each news item must be complete with clear beginning and end Describe events like news headlines Avoid single words or incomplete fragments Output Format Output only the 5 most valuable items: ====== 🔥 今日热搜(3月25日) 1. [完整新闻标题1] 2. [完整新闻标题2] 3. [完整新闻标题3] 4. [完整新闻标题4] 5. [完整新闻标题5] ====== Notes: Each news item should be complete with clear beginning and end No source attribution needed Facts only, exclude subjective commentary Output only the required content, no extra text
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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
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.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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