القائمة
Fetches articles from Farnam Street RSS. Use when asking about decision-making, mental models, learning, or wisdom from Farnam Street blog.
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/javimosch/open-claw-skills --skill fs-streetيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Connect your AI assistant to GoHighLevel CRM via the official API v2. Manage contacts, conversations, calendars, pipelines, invoices, payments, workflows, and 30+ endpoint groups through natural language. Includes interactive setup wizard and 100+ pre-built, safe API commands. Python 3.6+ stdlib only — zero external dependencies.
Manage Cloudflare DNS records, Tunnels (cloudflared), and Zero Trust policies. Use for pointing domains, exposing local services via tunnels, and updating ingress rules.
Mema's personal brain - SQLite metadata index for documents and Redis short-term context buffer. Use for organizing workspace knowledge paths and managing ephemeral session state.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | fs-street |
| description | Fetches articles from Farnam Street RSS. Use when asking about decision-making, mental models, learning, or wisdom from Farnam Street blog. |
Fetches articles from Farnam Street blog, covering topics like mental models, decision-making, leadership, and learning.
# 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
| 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 |
- [ ] Step 1: Parse date from user request
- [ ] Step 2: Fetch RSS data
- [ ] Check content availability
- [ ] Format and display results
| 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
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
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
Some articles are marked [FS Members] - these are premium content and may only show a teaser.
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/
| Variable | Description | Default |
|---|---|---|
| RSS_URL | RSS feed URL | https://fs.blog/feed/ |
No API keys required.
| 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 |
# 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