fs-street
Fetches articles from Farnam Street RSS.
Setup & Installation
Install command
clawhub install hjw21century/fs-streetIf the CLI is not installed:
Install command
npx clawhub@latest install hjw21century/fs-streetOr install with OpenClaw CLI:
Install command
openclaw skills install hjw21century/fs-streetor paste the repo link into your assistant's chat
Install command
https://github.com/openclaw/skills/tree/main/skills/hjw21century/fs-streetWhat This Skill Does
Fetches articles from the Farnam Street blog RSS feed by date or keyword. Supports relative dates, absolute dates, and topic searches. Some articles are marked as members-only premium content.
Lets you query Farnam Street content by date or topic directly in your agent without manually browsing the blog.
When to Use It
- 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
View original SKILL.md file
# 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 ```bash python skills/fs-street/scripts/fetch_blog.py --date YYYY-MM-DD ``` **Available commands**: ```bash # 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 ```markdown 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**: ```markdown # 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 ```bash # 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 ```
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Read yesterday's Farnam Street post during morning routine
- 1Read yesterday's Farnam Street post during morning routine
- 2Look up a specific article by publication date
- 3Search for past articles on mental models or decision-making
- 4Check what dates have available articles before querying
- 5Get a summary of a specific post without visiting the site
Fetches articles from Farnam Street RSS.
Security Audits
These signals reflect official OpenClaw status values. A Suspicious status means the skill should be used with extra caution.