Industry Intelligence Radar Skill for Claude

by chubbyguan

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

4k tokens

context cost

the whole folder, loaded on every use

files

ships runnable scripts

copies elsewhere

how many repositories repackaged it

588

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/chubbyguan/chubbyskills --skill industry-intelligence-radar

The instruction itself

5 sections, as written by the author

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

|--------|----------|------------|----------|

| Hacker News | scan.py 内置（Algolia API） | 否（免费） | ⭐⭐⭐⭐ |

| V2EX | scan.py 内置（官方热门 API） | 否（免费） | ⭐⭐⭐ |

| 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：

去重：同一事件只保留最高质量来源
时效：只保留 24 小时内的内容
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：

突发趋势：某话题突然大量出现
持续趋势：某话题持续一周以上高频出现
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

飞书群：每日情报推送
知识库：高价值情报存入 wiki/📡 外部输入/情报/
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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How to use it

Copy the folder

Take chubbyguan/industry-intelligence-radar from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

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