How do I install the Fs Street skill?

Run npx skillmds@latest add johnalbertini14-glitch/fs-street in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Fs Street safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Fs Street?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Fs Street free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Fs Street?

johnalbertini14-glitch (@johnalbertini14-glitch) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Fs Street by johnalbertini14-glitch

Name: Fs Street
Rating: 4.2 (5 reviews)
Author: johnalbertini14-glitch

File contents

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

---name: fs-streetdescription: Fetches articles from Farnam Street RSS. Use when asking about decision-making, mental models, learning, or wisdom from Farnam Street blog.--- # 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 ```

Frequently asked questions

Fs Street