Farnam Street

Fetches articles from Farnam Street blog, covering topics like mental models, decision-making, leadership, and learning.

Quick Start

# Basic queries
昨天的文章
今天的FS文章
2024-06-13的文章

# Search
有哪些可用的日期

Query Types

Workflow

- [ ] Step 1: Parse date from user request
- [ ] Step 2: Fetch RSS data
- [ ] Check content availability
- [ ] Format and display results

Step 1: Parse Date

Format: Always use YYYY-MM-DD

Step 2: Fetch RSS

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

Available commands:

# Get specific date
python skills/fs-street/scripts/fetch_blog.py --date 2024-06-13

# Get date range
python skills/fs-street/scripts/fetch_blog.py --date-range

# Relative dates
python skills/fs-street/scripts/fetch_blog.py --relative yesterday

Requirements: pip install feedparser requests

Step 3: Check Content

When NOT Found

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

Members Only Content

Some articles are marked [FS Members] - these are premium content and may only show a teaser.

Step 4: Format Results

Example Output:

# Farnam Street · 2024年6月13日

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

## Content

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.

**Key Insights**:
- 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

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

Configuration

No API keys required.

Troubleshooting

CLI Reference

# Get specific date
python skills/fs-street/scripts/fetch_blog.py --date 2024-06-13

# Get date range
python skills/fs-street/scripts/fetch_blog.py --date-range

# Relative dates
python skills/fs-street/scripts/fetch_blog.py --relative yesterday