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industry-intelligence-radar

行业情报雷达:多源扫描(X/即刻/V2EX/HN) → 关键词过滤 → 趋势检测 → 每日情报简报。触发词:行业情报、竞品监控、热点扫描、情报雷达

AI 与智能体1.2kindustry-intelligence-radar/SKILL.md

Install

Send this to Claude Code, Codex or Cursor. The agent checks the Skill for safety first and installs it only after you confirm.

读取 https://funcoding.ai/skills/chubbyguan/chubbyskills/industry-intelligence-radar/install.md ,按里面的步骤帮我安装这个 Skill。

SKILL.md

行业情报雷达

核心价值

信息差优势:早知道 = 早行动 = 早收益

数据源

数据源接入方式是否需配置信号强度
Hacker Newsscan.py 内置(Algolia API)否(免费)⭐⭐⭐⭐
V2EXscan.py 内置(官方热门 API)否(免费)⭐⭐⭐
36kr / 虎嗅 / 少数派等scan.py RSS 源(config.rss)否(填 RSS 地址即可)⭐⭐⭐
X/TwitterAgent 联网搜索 / X API需 X API Key⭐⭐⭐⭐⭐
即刻Agent 联网搜索需搜索能力⭐⭐⭐⭐

scan.py 仅用 Python 标准库即可跑通 HN + V2EX + 任意 RSS 源,零依赖、无需 API Key。 X/即刻没有稳定的公开接口,由 Agent 用联网搜索能力补充(见 Phase 1)。

关键词矩阵

用户兴趣领域

AI/Agent:
  - "AI agent" OR "AI 工具" OR "LLM" OR "大模型"
  - "Claude" OR "GPT" OR "Gemini" OR "DeepSeek"
  - "MCP" OR "tool use" OR "function calling"

半导体:
  - "半导体" OR "芯片" OR "chip" OR "semiconductor"
  - "台积电" OR "TSMC" OR "英伟达" OR "NVIDIA"

航天:
  - "航天" OR "火箭" OR "卫星" OR "SpaceX"
  - "星链" OR "Starlink"

新能源:
  - "新能源" OR "电动车" OR "电池"
  - "特斯拉" OR "Tesla" OR "比亚迪"

游戏:
  - "游戏" OR "Steam" OR "Switch" OR "PS5"
  - "米哈游" OR "原神" OR "黑神话"

跨境电商:
  - "跨境电商" OR "TikTok Shop" OR "SHEIN"
  - "独立站" OR "DTC"

创业/投资:
  - "创业" OR "融资" OR "投资"
  - "YC" OR "a16z" OR "红杉"

工作流程

Phase 1: 多源扫描

① 脚本扫描(HN + V2EX + RSS,免费、可 cron)

# 用内置关键词矩阵扫最近 24 小时,输出简报到文件
python3 scripts/scan.py --hours 24 --output 简报-$(date +%F).md

# 自定义关键词 / 追加 RSS 源(36kr、虎嗅、少数派等)
python3 scripts/scan.py --config keywords.json --hours 24

keywords.json 示例:

{
  "keywords": {
    "AI/Agent": ["AI agent", "LLM", "Claude", "MCP"],
    "半导体": ["半导体", "NVIDIA", "TSMC"]
  },
  "high_signal": ["融资", "发布", "launch", "raise"],
  "rss": ["https://www.36kr.com/feed", "https://sspai.com/feed"]
}

② Agent 联网补充(X / 即刻,需搜索能力)

脚本覆盖不到的实时社交信号,由 Agent 用联网搜索补充,再并入简报:

搜索 X/Twitter:"AI agent OR LLM OR 大模型" 最近 24 小时高互动内容
搜索即刻:"AI OR Agent OR 创业" 高质量讨论

Phase 2: 信号过滤

过滤规则:

  1. 去重:同一事件只保留最高质量来源
  2. 时效:只保留 24 小时内的内容
  3. 信号强度:
    • 🔴 高信号:融资、发布、政策变化、重大合作
    • 🟡 中信号:产品更新、行业讨论、观点碰撞
    • 🟢 低信号:日常动态、重复信息

Phase 3: 趋势检测

检测维度:

  1. 突发趋势:某话题突然大量出现
  2. 持续趋势:某话题持续一周以上高频出现
  3. 新兴趋势:新概念/新工具首次出现

Phase 4: 生成情报简报

输出格式:

# 📡 行业情报简报 - YYYY-MM-DD

## 🔴 高信号(必须关注)

### 1. [事件标题]
- **来源**:X/Twitter @xxx
- **时间**:2 小时前
- **摘要**:一句话概括
- **影响**:对我/行业的影响
- **行动建议**:是否需要立即响应

## 🟡 中信号(值得了解)

### 2. [事件标题]
- **来源**:即刻 @xxx
- **摘要**:一句话概括
- **关联**:与我关注的 XX 领域相关

## 📈 趋势观察

### [趋势名称]
- **热度**:⬆️ 上升 / ⬇️ 下降 / ➡️ 平稳
- **持续时间**:X 天
- **相关讨论**:[链接1] [链接2]

## 💡 机会洞察

基于今日情报,发现以下潜在机会:
1. [机会1]
2. [机会2]

## 📊 数据统计

- 扫描源:5 个
- 原始条目:150+
- 筛选后:25 条
- 高信号:3 条

Cron 配置

# 每日早报(工作日 8:30)
schedule: "30 8 * * 1-5"
deliver: feishu

# 可选:午间快报(12:00)
schedule: "0 12 * * 1-5"
deliver: feishu

输出目标

  1. 飞书群:每日情报推送
  2. 知识库:高价值情报存入 wiki/📡 外部输入/情报/
  3. 选题库:发现好选题自动进入选题池

反模式

  • ❌ 不要追求全量,信号 > 数量
  • ❌ 不要只翻译,要有自己的判断
  • ❌ 不要忽略中文社区(即刻、V2EX)
  • ✅ 每条情报必须有「对我有什么用」的结论
  • ✅ 优先独家/一手信息源

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