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# SKILL.md - AI行业周报生成
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2026-02-23 15:57:27 +00:00
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## 描述
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每周自动搜索并整理AI行业重要新闻，生成HTML格式简报发送到指定邮箱。
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## 使用场景
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- 每周二早上9点自动执行
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- 手动触发生成周报
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## 任务内容
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### 搜索主题
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1. **国际AI大模型进展** - OpenAI、Anthropic、Google、Meta等最新产品和技术突破
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2. **大模型评测与性能** - 技术进展、评测成绩、基准测试
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3. **中国AI突破** - 国产大模型、芯片、应用场景
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4. **算力与芯片** - NVIDIA、Google TPU、国产AI芯片
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5. **AI应用落地** - 医疗、金融、制造等垂直领域突破
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6. **投资融资** - 并购、融资新闻
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7. **监管政策** - AI伦理和法规
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8. **研究突破** - 重要论文、技术创新
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### 搜索流程
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#### 第一步：搜索当周AI行业热点
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先用 `web_search` 搜索当周AI行业热点：
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- "AI industry news this week 2026"
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- "OpenAI GPT-5 2026"
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- "Anthropic Claude 2026"
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- "NVIDIA Blackwell 2026"
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根据热点结果，调整以下主题的侧重点。
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#### 第二步：分类搜索
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使用 `web_search` 工具搜索以下关键词组合：
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**国际大模型：**
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- "OpenAI o3 o4 model 2026"
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- "Claude Sonnet 4.6 2026"
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- "Google Gemini 2026"
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- "DeepSeek V4 release 2026"
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**中国AI：**
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- "中国AI 大模型 2026 突破"
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- "国产AI芯片 训练 2026"
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- "央企AI应用 2026"
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**算力基础设施：**
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- "NVIDIA Blackwell Rubin chip 2026"
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- "AI 算力 投资 2026"
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- "Google TPU Meta AMD 2026"
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### 邮件格式
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- 格式：HTML
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- 语言：中文
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- 包含数据表格、图表、分析
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### 周报结构建议
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```
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1. 本周核心事件（1-2个重点事件深度分析）
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2. 国际AI进展（模型发布、商业合作）
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3. 中国AI突破（调用量、国产芯片、应用落地）
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4. 算力与基础设施
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5. 趋势展望
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```
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## 邮件配置
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- SMTP: smtp.exmail.qq.com
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- 端口: 465
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- 用户名: clara@rymophotonics.com
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- 授权码: gL38GAS7ajguGYLA
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- 收件人: info@rympo.com
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- 标题: 【AI行业周报】YYYY年M月D日 第W期
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## Python发送邮件代码
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```python
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import smtplib
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from email.mime.text import MIMEText
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from email.mime.multipart import MIMEMultipart
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from datetime import datetime
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smtp_server = "smtp.exmail.qq.com"
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smtp_port = 465
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username = "clara@rymophotonics.com"
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password = "授权码"
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msg = MIMEMultipart("alternative")
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msg["Subject"] = f"【AI行业周报】{datetime.now().strftime('%Y年%m月%d日')}"
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msg["From"] = "Clara <clara@rymophotonics.com>"
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msg["To"] = "info@rympo.com"
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html = """<html>...</html>"""
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msg.attach(MIMEText(html, "html", "utf-8"))
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with smtplib.SMTP_SSL(smtp_server, smtp_port) as server:
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server.login(username, password)
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server.sendmail(username, ["info@rympo.com"], msg.as_string())
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```
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## Cron配置
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- 表达式: `0 9 * * 2` (每周二早上9点)
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- 时区: Asia/Shanghai
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- 会话目标: isolated
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## 注意事项
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- 搜索结果需包含具体数据、市场份额、公司名称
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- 财报信息需包含营收数字和关键指标
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- 投资融资需包含融资金额和投资方
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- 建议添加数据表格增强可读性
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- 中国AI进展需重点关注调用量、国产化突破
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