OpenClaw · Skill
Fs Street
Fetches articles from Farnam Street blog, covering topics like mental models, decision-making, leadership, and learning.
Install
Start with the primary install command. Alternate entrypoints are included below for ClawHub and OpenClaw CLI users.
Primary command
clawhub install hjw21century/fs-streetClawHub installer
npx clawhub@latest install hjw21century/fs-streetOpenClaw CLI
openclaw skills install hjw21century/fs-streetDirect OpenClaw install
openclaw install hjw21century/fs-streetWhat this skill does
Fetches articles from Farnam Street blog, covering topics like mental models, decision-making, leadership, and learning.
Why it matters
Lets you query Farnam Street content by date or topic directly in your agent without manually browsing the blog.
Typical use cases
- Read yesterday's Farnam Street post during morning routine
- Look up a specific article by publication date
- Search for past articles on mental models or decision-making
- Check what dates have available articles before querying
- Get a summary of a specific post without visiting the site
Source instructions
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
| Type | Examples | Description |
|---|---|---|
| Relative date | 昨天的文章 今天的文章 前天 | Yesterday, today, day before |
| Absolute date | 2024-06-13的文章 | YYYY-MM-DD format |
| Date range | 有哪些日期 可用的日期 | Show available dates |
| Topic search | 关于决策的文章 思维模型 | Search by keyword |
Workflow
- [ ] Step 1: Parse date from user request
- [ ] Step 2: Fetch RSS data
- [ ] Check content availability
- [ ] Format and display results
Step 1: Parse Date
| User Input | Target Date | Calculation |
|---|---|---|
昨天 | Yesterday | today - 1 day |
前天 | Day before | today - 2 days |
今天 | Today | Current date |
2024-06-13 | 2024-06-13 | Direct parse |
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
| Variable | Description | Default |
|---|---|---|
| RSS_URL | RSS feed URL | https://fs.blog/feed/ |
No API keys required.
Troubleshooting
| Issue | Solution |
|---|---|
| RSS fetch fails | Check network connectivity |
| Invalid date | Use YYYY-MM-DD format |
| No content | Check available date range |
| Members only | Some articles are premium content |
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