ai-news-collector

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0
Source

AI 新闻聚合与热度排序工具。当用户询问 AI 领域最新动态时触发,如:"今天有什么 AI 新闻?""总结一下这周的 AI 动态""最近有什么火的 AI 产品?""AI 圈最近在讨论什么?"。覆盖:新产品发布、研究论文、行业动态、融资新闻、开源项目更新、社区病毒传播现象、AI 工具/Agent 热门项目。输出中文摘要列表,按热度排序,附带原文链接。

Install

mkdir -p .claude/skills/ai-news-collector && curl -L -o skill.zip "https://mcp.directory/api/skills/download/1798" && unzip -o skill.zip -d .claude/skills/ai-news-collector && rm skill.zip

Installs to .claude/skills/ai-news-collector

About this skill

AI News Collector

收集、聚合并按热度排序 AI 领域新闻。

核心原则

不要只搜"AI news today"。 泛搜索返回的是 SEO 聚合页和趋势预测文章,会系统性遗漏社区级病毒传播现象(如开源工具爆火、Meme 级事件)。必须用多维度、分层搜索策略。

工作流程

1. 多维度分层搜索(最少 8 次,建议 10-12 次)

按以下 6 个维度 依次执行搜索,每个维度至少 1 次:

维度 A:周报/Newsletter 聚合(最优先 🔑)

这是信息密度最高的来源,一篇文章可覆盖 10+ 条新闻。

搜索词:
- "last week in AI" [当前月份年份]
- "AI weekly roundup" [当前月份年份]
- "the batch AI newsletter"
- site:substack.com AI news [当前月份]

发现周报后,用 web_fetch 获取全文,从中提取所有新闻线索。

维度 B:社区热度/病毒传播(关键维度 🔑)

捕捉自下而上的社区爆款,这类信息泛搜索几乎无法触达。

搜索词:
- "viral AI tool" OR "viral AI agent"
- "AI trending" site:reddit.com OR site:news.ycombinator.com
- "GitHub trending AI" OR "AI open source trending"
- AI buzzing OR "everyone is talking about" AI
- "most popular AI" this week

维度 C:产品发布与模型更新

搜索词:
- "AI model release" OR "LLM launch" [当前月份]
- "AI product launch" [当前月份年份]
- OpenAI OR Anthropic OR Google OR Meta AI announcement
- "大模型 发布" OR "AI 新产品"

维度 D:融资与商业

搜索词:
- "AI startup funding" [当前月份年份]
- "AI acquisition" OR "AI IPO"
- "AI 融资" OR "人工智能投资"

维度 E:研究突破

搜索词:
- "AI breakthrough" OR "AI paper" [当前月份]
- "state of the art" machine learning
- "AI 论文" OR "机器学习突破"

维度 F:监管与政策

搜索词:
- "AI regulation" OR "AI policy" [当前月份年份]
- "AI law" OR "AI governance" 
- "AI 监管" OR "人工智能法案"

2. 交叉验证与补漏

初轮搜索完成后,检查是否有遗漏:

  • 如果 Newsletter 中提到了某个项目/事件但初轮搜索未覆盖 → 对该项目专项搜索
  • 如果同一事件被 3+ 个不同来源提及 → 大概率是热点,深入搜索获取更多细节
  • 如果中文媒体和英文媒体的热点完全不同 → 两边都要覆盖

3. 搜索关键词设计原则(反模式清单)

❌ 不要这样搜✅ 应该这样搜原因
"AI news today February 2026""AI weekly roundup February 2026"前者返回聚合页,后者返回策划内容
"AI news today""viral AI tool" + "AI model release" 分开搜泛搜无法覆盖社区现象
"artificial intelligence breaking news"按维度分类搜索过于宽泛,返回噪音
搜索词中加具体年月日用 "this week" "today" "latest"日期反而会偏向预测/展望文章
只搜 3 次就开始写至少 8 次,覆盖 6 个维度3 次搜索覆盖率不到 30%

4. 热度综合判断

基于以下信号评估每条新闻热度(1-5 星):

信号权重说明
多家媒体报道同一事件⭐⭐⭐ 高3+ 来源 = 确认热点
社区病毒传播证据⭐⭐⭐ 高GitHub star 暴涨、Twitter 刷屏、HN 首页
来自权威来源(顶会、大厂官宣)⭐⭐⭐ 高但注意大厂 PR 不等于真热点
实际用户体验分享⭐⭐ 中有人真的在用 > 只是发布了
技术突破性/影响范围⭐⭐ 中
争议性(安全、伦理讨论)⭐⭐ 中争议往往说明影响力大
时效性(越新越热)⭐ 中低辅助排序

5. 输出格式

按热度降序排列,输出 15-25 条新闻:

## 🔥 AI 新闻速递(YYYY-MM-DD)

### ⭐⭐⭐⭐⭐ 热度最高

1. **[新闻标题]**
   > 一句话摘要(不超过 50 字)
   > 🔗 [来源名称](URL)

### ⭐⭐⭐⭐ 高热度

2. ...

### ⭐⭐⭐ 中等热度

...

---
📊 本次共收集 XX 条新闻 | 搜索 XX 次 | 覆盖维度:A/B/C/D/E/F | 更新时间:HH:MM

6. 去重与合并

  • 同一事件被多家报道时,合并为一条,选择最权威/详细的来源
  • 在摘要中注明"多家媒体报道"以体现热度
  • 改名/更名的项目视为同一事件(如 Clawdbot → Moltbot → OpenClaw)

推荐新闻源

详见 references/sources.md

注意事项

  • 优先使用 HTTPS 链接
  • 遇到付费墙/无法访问的内容,标注"需订阅"
  • 保持客观,不对新闻内容做主观评价
  • 搜索不足 8 次不要开始输出
  • 如果某个维度搜索结果为空,换关键词再搜一次

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