ai-agent-news-aggregator

搜集 AI Agent 领域最新资讯并推送到飞书群聊。使用 DuckDuckGo 搜索 + RSS 源监控, 自动过滤、去重、摘要,生成每日/每周简报。适用于 AI Agent 行业动态追踪、 技术进展监控、竞品信息收集。支持定时任务(cron)自动推送。

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Install skill "ai-agent-news-aggregator" with this command: npx skills add jiashuoji838-afk/ai-agent-news-aggregator

AI Agent 资讯聚合技能

功能概述

本技能自动搜集 AI Agent 相关最新资讯,整理后推送到飞书群聊。

核心能力

  • 🔍 多源搜索 - DuckDuckGo 搜索 + RSS 源监控
  • 🧹 智能去重 - 基于标题/URL 相似度合并相同新闻
  • 📝 自动摘要 - 为每条新闻生成一句话摘要
  • 📊 分类整理 - 按技术进展/公司动态/行业应用分类
  • 🚀 飞书推送 - 直接发送到群聊或私聊

数据源

搜索关键词(使用 ddg-search)

  • "AI Agent framework"
  • "LangChain new release"
  • "AutoGen update"
  • "Multi-agent system research"
  • "Agentic AI"
  • "CrewAI"
  • "LlamaIndex"

RSS 源(使用 blogwatcher)

  • Hacker News AI/ML tag
  • r/LocalLLaMA
  • Anthropic Blog
  • OpenAI Blog
  • Hugging Face Blog
  • LangChain Blog

详细配置见 scripts/sources.json


使用方法

一次性搜集

{
  "action": "collect",
  "time_range": "24h",
  "channel_id": "oc_xxxxxx"
}
参数说明默认值
time_range搜集时间范围24h
channel_id飞书会话 ID当前会话

定时推送(配合 cron)

{
  "action": "schedule",
  "cron": "0 9 * * 1-5",
  "channel_id": "oc_xxxxxx",
  "time_range": "24h"
}

示例:工作日每天 9 点推送前一天的资讯


输出格式(飞书消息)

🤖 AI Agent 每日简报 - 2026-03-16

🔥 头条
• LangChain 发布新 Agent 框架 - 支持 XX 功能 [链接]

🛠️ 框架更新
• AutoGen v0.4.0 - 新增多 Agent 协作 [链接]
• CrewAI 支持 XX [链接]

📚 研究论文
• [论文标题] - arXiv [链接]

🏢 公司动态
• Anthropic 发布 XX [链接]

💼 行业应用
• XX 公司用 Agent 实现 XX [链接]

---
共 12 条资讯 | 来源:DDG + 6 RSS 源

脚本说明

scripts/search_news.py

调用 ddg-search 搜索多个关键词,返回原始结果列表。

输入:

{
  "keywords": ["AI Agent", "LangChain"],
  "time_range": "24h"
}

输出:

{
  "items": [
    {"title": "...", "url": "...", "snippet": "...", "source": "ddg"},
    ...
  ]
}

scripts/deduplicate.py

基于标题和 URL 相似度去重。

输入:

{
  "items": [...],
  "threshold": 0.85
}

输出:

{
  "items": [...],
  "removed_count": 5
}

scripts/summarize.py

调用 LLM 为每条新闻生成一句话摘要。

输入:

{
  "items": [...],
  "max_length": 50
}

输出:

{
  "items": [
    {"title": "...", "url": "...", "summary": "..."},
    ...
  ]
}

scripts/push_to_feishu.py

格式化消息并推送到飞书。

输入:

{
  "items": [...],
  "channel_id": "oc_xxxxxx",
  "date": "2026-03-16"
}

输出:

{
  "success": true,
  "message_id": "msg_xxxxxx"
}

scripts/sources.json

配置数据源和推送目标。

{
  "keywords": [
    "AI Agent framework",
    "LangChain",
    "AutoGen",
    "CrewAI",
    "Multi-agent system"
  ],
  "rss_sources": [
    "https://news.ycombinator.com/newest",
    "https://www.anthropic.com/news/rss.xml",
    "https://openai.com/blog/rss/"
  ],
  "feishu": {
    "channel_id": "oc_xxxxxx"
  },
  "filters": {
    "min_relevance": 0.7,
    "max_items_per_category": 5
  }
}

完整工作流程

1. search_news.py    → 从 DDG + RSS 抓取原始内容
        ↓
2. deduplicate.py    → 去重(基于相似度)
        ↓
3. categorize.py     → 分类(头条/框架/论文/公司/应用)
        ↓
4. summarize.py      → 生成摘要
        ↓
5. push_to_feishu.py → 格式化并推送

依赖工具

  • ddg-search - DuckDuckGo 网页搜索
  • blogwatcher - RSS 源监控(可选)
  • web_fetch - 抓取网页详情(可选)

配置步骤

  1. 编辑 scripts/sources.json

    • 设置你的飞书 channel_id
    • 自定义搜索关键词
    • 添加/删除 RSS 源
  2. 测试运行

    python scripts/search_news.py
    
  3. 设置定时任务(可选) 使用 cron 技能设置每日/每周自动推送


注意事项

  • 首次运行需要安装 Python 依赖(见 scripts/requirements.txt)
  • 飞书 channel_id 可从群聊 URL 或消息元数据中获取
  • 如需推送到私聊,使用你的个人 session_id

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