rss-ai-reader
📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送! 支持 Claude/OpenAI 生成中文摘要,推送到飞书/Telegram/Email。 触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、 "帮我订阅"、"监控这个网站"、"每天推送新闻"、RSS/Atom feed 相关。
Best use case
rss-ai-reader is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送! 支持 Claude/OpenAI 生成中文摘要,推送到飞书/Telegram/Email。 触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、 "帮我订阅"、"监控这个网站"、"每天推送新闻"、RSS/Atom feed 相关。
Teams using rss-ai-reader should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/rss-ai-reader/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How rss-ai-reader Compares
| Feature / Agent | rss-ai-reader | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
📰 RSS AI 阅读器 — 自动抓取订阅、LLM生成摘要、多渠道推送! 支持 Claude/OpenAI 生成中文摘要,推送到飞书/Telegram/Email。 触发条件: 用户要求订阅RSS、监控博客、抓取新闻、生成摘要、设置定时抓取、 "帮我订阅"、"监控这个网站"、"每天推送新闻"、RSS/Atom feed 相关。
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 📰 RSS AI Reader
自动抓取 RSS 订阅 → LLM 生成中文摘要 → 推送到 IM
## ✨ 核心功能
- 📡 自动抓取 RSS/Atom feeds
- 🤖 Claude/OpenAI 生成中文摘要
- 📬 多渠道推送:飞书、Telegram、Email
- 💾 SQLite 去重,不重复推送
- ⏰ 支持定时任务
## 🚀 快速开始
```bash
# 安装
git clone https://github.com/BENZEMA216/rss-reader.git ~/rss-reader
cd ~/rss-reader && pip install -r requirements.txt
# 配置(编辑 config.yaml)
cp config.yaml my_config.yaml
# 设置 feeds、LLM key、推送渠道
# 运行
python main.py --once # 单次执行
python main.py # 启动定时任务
python main.py --stats # 查看统计
```
## 📝 配置示例
```yaml
# RSS 订阅
feeds:
- name: "Hacker News"
url: "https://hnrss.org/frontpage"
category: "tech"
- name: "阮一峰周刊"
url: "https://www.ruanyifeng.com/blog/atom.xml"
category: "tech"
# LLM 配置
llm:
provider: "claude" # 或 "openai"
model: "claude-sonnet-4-20250514"
api_key: "${ANTHROPIC_API_KEY}"
# 推送到飞书
notify:
feishu:
enabled: true
webhook_url: "${FEISHU_WEBHOOK}"
```
## 📬 支持的推送渠道
| 渠道 | 配置项 | 说明 |
|------|--------|------|
| **飞书** | `webhook_url` | 群机器人 Webhook |
| **Telegram** | `bot_token` + `chat_id` | Bot API |
| **Email** | SMTP 配置 | 支持 Gmail 等 |
## 🔧 命令行参数
```bash
python main.py [options]
--config, -c 配置文件路径 (默认: config.yaml)
--once 只执行一次
--stats 显示统计信息
--db 数据库路径 (默认: rss_reader.db)
```
## 💡 使用场景
1. **技术博客监控** — 订阅 HN、阮一峰、V2EX 等
2. **新闻早报** — 每天定时推送摘要到飞书群
3. **竞品监控** — 订阅竞品博客,自动摘要
4. **论文追踪** — 订阅 arXiv,AI 帮你筛选
## 📊 输出效果
飞书消息示例:
```
📰 Hacker News
**Why SQLite is Taking Over**
📝 SQLite 正在从嵌入式数据库扩展到更多应用场景。
文章分析了其在边缘计算、移动应用中的优势...
[🔗 阅读原文]
```
---
## ☕ 支持作者
- **GitHub Sponsors**: [@BENZEMA216](https://github.com/sponsors/BENZEMA216)
- **Buy Me a Coffee**: [buymeacoffee.com/benzema216](https://buymeacoffee.com/benzema216)Related Skills
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