工作流程

- [ ] 步骤 1：从用户请求中解析日期
- [ ] 步骤 2：获取 RSS 数据
- [ ] 检查内容可用性
- [ ] 格式化并显示结果

步骤 1：解析日期

格式：始终使用 YYYY-MM-DD

步骤 2：获取 RSS

python skills/fs-street/scripts/fetch_blog.py --date YYYY-MM-DD

可用命令：

# 获取特定日期
python skills/fs-street/scripts/fetch_blog.py --date 2024-06-13

# 获取日期范围
python skills/fs-street/scripts/fetch_blog.py --date-range

# 相对日期
python skills/fs-street/scripts/fetch_blog.py --relative yesterday

要求：pip install feedparser requests

步骤 3：检查内容

未找到时

Sorry, no article available for 2024-06-14

Available date range: 2023-04-19 ~ 2024-06-13

Suggestions:
- View 2024-06-13 article
- View 2024-06-12 article

仅限会员内容

部分文章标记为 [FS Members] - 这些是高级内容，可能只显示摘要。

步骤 4：格式化结果

示例输出：

# Farnam Street · 2024年6月13日

> Experts vs. Imitators: How to tell the difference between real expertise and imitation

## 内容

If you want the highest quality information, you have to speak to the best people. The problem is many people claim to be experts, who really aren't.

**关键见解**：
- Imitators can't answer questions at a deeper level
- Experts can tell you all the ways they've failed
- Imitators don't know the limits of their expertise

---
来源：Farnam Street
URL：https://fs.blog/experts-vs-imitators/

配置

无需 API 密钥。

故障排除

CLI 参考

# 获取特定日期
python skills/fs-street/scripts/fetch_blog.py --date 2024-06-13

# 获取日期范围
python skills/fs-street/scripts/fetch_blog.py --date-range

# 相对日期
python skills/fs-street/scripts/fetch_blog.py --relative yesterday

每周安装次数

48

仓库

geekjourneyx/mind-skills

GitHub 星标数

25

首次出现

2026年2月8日

安全审计

Gen Agent Trust HubPassSocketPassSnykPass

安装于

openclaw45

opencode44

gemini-cli43

amp43

github-copilot43

codex43