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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 官方收录技能 质量 优秀 · 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
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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