القائمة
Scan Google Trends and Reddit for Arabic-market digital marketing topics ranked by relevance
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/Moshe-ship/yalla-ads --skill yalla-trendsيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | yalla-trends |
| description | Scan Google Trends and Reddit for Arabic-market digital marketing topics ranked by relevance |
| version | 1.0.0 |
| author | Mousa Abu Mazin |
| license | MIT |
| platforms | ["linux","macos"] |
| prerequisites | {"commands":["curl"],"env_vars":[]} |
| metadata | {"hermes":{"tags":["trends","arabic","marketing","research","google-trends","reddit","market-intelligence"]}} |
Scan Google Trends for Saudi Arabia and UAE, monitor Reddit marketing subreddits, and combine with local market intelligence to produce a ranked list of trending topics relevant to the Arab digital marketing market.
Run this skill to generate a fresh trending topics report. Optionally, the user can specify a focus area (e.g., "e-commerce trends" or "social media trends") to narrow the scan.
Fetch the Google Trends RSS feeds for both target countries:
# Saudi Arabia trends
curl -sL -A "Mozilla/5.0 (compatible; YallaAdsBot/1.0)" "https://trends.google.com/trending/rss?geo=SA" -o /tmp/trends-sa.xml
# UAE trends
curl -sL -A "Mozilla/5.0 (compatible; YallaAdsBot/1.0)" "https://trends.google.com/trending/rss?geo=AE" -o /tmp/trends-ae.xml
Extract all trending topics from the XML. For each topic, note:
<title> tags)<ht:approx_traffic> if available)If RSS feeds fail, use the browser tool (Camofox) to visit:
https://trends.google.com/trending?geo=SAhttps://trends.google.com/trending?geo=AEFetch hot and rising posts from marketing-related subreddits:
# Core marketing subs
curl -sL -A "YallaAdsBot/1.0" "https://www.reddit.com/r/marketing/hot.json?limit=15" -o /tmp/reddit-marketing.json
curl -sL -A "YallaAdsBot/1.0" "https://www.reddit.com/r/digitalmarketing/hot.json?limit=15" -o /tmp/reddit-digital.json
curl -sL -A "YallaAdsBot/1.0" "https://www.reddit.com/r/SEO/hot.json?limit=10" -o /tmp/reddit-seo.json
curl -sL -A "YallaAdsBot/1.0" "https://www.reddit.com/r/PPC/hot.json?limit=10" -o /tmp/reddit-ppc.json
curl -sL -A "YallaAdsBot/1.0" "https://www.reddit.com/r/socialmedia/hot.json?limit=10" -o /tmp/reddit-social.json
# Additional relevant subs
curl -sL -A "YallaAdsBot/1.0" "https://www.reddit.com/r/ecommerce/hot.json?limit=10" -o /tmp/reddit-ecom.json
curl -sL -A "YallaAdsBot/1.0" "https://www.reddit.com/r/content_marketing/hot.json?limit=10" -o /tmp/reddit-content.json
For each post, extract:
data.children[].data.title)data.children[].data.ups)data.children[].data.num_comments)data.children[].data.stickied === true)High engagement (upvotes + comments) indicates the topic resonates with marketers.
Apply these regional relevance filters to score each topic:
Score each topic on a 0-100 scale using this formula:
| Factor | Weight | Scoring |
|---|---|---|
| Google Trends presence | 30% | In SA trends: 30, In AE trends: 25, Both: 30 |
| Reddit engagement | 25% | High (100+ ups): 25, Medium (30-99): 15, Low (<30): 5 |
| MENA relevance | 30% | High signal: 30, Medium: 20, Low: 5 |
| Content potential | 15% | Can fill 1800+ word Arabic post: 15, Needs stretching: 8, Thin topic: 3 |
# Trending Topics Report — Arab Digital Marketing
**Scan Date:** YYYY-MM-DD
**Sources:** Google Trends (SA, AE) + Reddit (r/marketing, r/digitalmarketing, r/SEO, r/PPC, r/socialmedia, r/ecommerce, r/content_marketing)
## Top 10 Trending Topics
### 1. [Topic Name in Arabic] — Score: XX/100
**Original source:** [Google Trends SA / Reddit r/marketing / etc.]
**Why it's relevant:** [1-2 sentences on why this matters for Arab market]
**Blog angle:** [Suggested blog post title in Arabic]
**Keywords:** [3-5 Arabic keywords for SEO]
**Content type:** [How-to guide / Case study / Listicle / Opinion / Tutorial]
### 2. [Topic Name in Arabic] — Score: XX/100
...
[Continue for all 10 topics]
## Seasonal Notes
[Any upcoming seasonal events that affect marketing in MENA]
- Ramadan dates and pre-Ramadan ad planning window
- Saudi National Day (September 23)
- UAE National Day (December 2)
- White Friday / Black Friday (November)
- Back to school season
- Summer sales
## Emerging Themes
[2-3 paragraph summary of broader trends observed across all sources]
## Recommended Blog Queue
Priority order for next 5 blog posts based on this scan:
1. [Arabic title] — [reason for priority]
2. [Arabic title] — [reason for priority]
3. [Arabic title] — [reason for priority]
4. [Arabic title] — [reason for priority]
5. [Arabic title] — [reason for priority]
## Raw Data Summary
| Source | Topics Found | Relevant to MENA |
|--------|-------------|------------------|
| Google Trends SA | X | X |
| Google Trends AE | X | X |
| r/marketing | X | X |
| r/digitalmarketing | X | X |
| r/SEO | X | X |
| r/PPC | X | X |
| r/socialmedia | X | X |
| r/ecommerce | X | X |
| r/content_marketing | X | X |
| **Total** | **X** | **X** |
The output of this skill feeds directly into the yalla-blog skill. After generating the trends report:
yalla-blog skill to generate a full 1800+ word Arabic blog post