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Fs Street

  • 58 installs
  • 26 repo stars
  • Updated February 8, 2026
  • geekjourneyx/mind-skills

Fetch articles from the Farnam Street RSS feed by relative date, absolute date, or available-date range for topics like mental models and decision-making.

About

Pulls Farnam Street blog articles via RSS, supporting relative dates, absolute dates, and listing which dates are available. A developer uses it to retrieve Farnam Street writing on mental models, decision-making, learning, or leadership.

  • Query by relative date, absolute YYYY-MM-DD date, or available date range
  • Focused on Farnam Street mental-models and decision-making content

Fs Street by the numbers

  • 58 all-time installs (skills.sh)
  • Ranked #1,009 of 2,715 Automation & Workflows skills by installs in the Skillselion catalog
  • Data as of Jul 24, 2026 (Skillselion catalog sync)
npx skills add https://github.com/geekjourneyx/mind-skills --skill fs-street

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Listed on Skillselion
Installs58
repo stars26
Last updatedFebruary 8, 2026
Repositorygeekjourneyx/mind-skills

What it does

Fetch articles from the Farnam Street RSS feed by relative date, absolute date, or available-date range for topics like mental models and decision-making.

Files

SKILL.mdMarkdownGitHub ↗

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

TypeExamplesDescription
Relative date昨天的文章 今天的文章 前天Yesterday, today, day before
Absolute date2024-06-13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 InputTarget DateCalculation
昨天Yesterdaytoday - 1 day
前天Day beforetoday - 2 days
今天TodayCurrent date
2024-06-132024-06-13Direct 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

VariableDescriptionDefault
RSS_URLRSS feed URLhttps://fs.blog/feed/

No API keys required.

---

Troubleshooting

IssueSolution
RSS fetch failsCheck network connectivity
Invalid dateUse YYYY-MM-DD format
No contentCheck available date range
Members onlySome 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

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