Setup & Installation
openclaw skills install @hjw21century/fs-street
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
npx clawhub install fs-street
What 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
Example Workflow
Here's how your AI assistant might use this skill in practice.
INPUT
User asks: 关于决策的文章 (articles about decision-making)
AGENT
- 1Parse query as a topic search for 'decision-making'
- 2Run fetch_blog.py with keyword filter against the RSS feed
- 3Check if matching articles exist in the available date range
- 4Format matched articles with title, key insights, and source URL
OUTPUT
A list of Farnam Street articles matching the decision-making topic, each with title, summary, key insights, and a direct link to fs.blog