moreminimore-service-system/skills/orbitos/orbites-ai-newsletters/SKILL.md

name, description

name	description
orbites-ai-newsletters	Curate daily AI, Online Marketing, SEO, and AI×Marketing Research news digest. For OrbitOS. Use when user says 'AI news', 'marketing news', 'SEO news', 'newsletter digest', 'what's new in AI', 'ข่าว AI', 'ข่าว marketing', 'สรุปข่าว'.

OrbitOS: Daily News Digest — AI · Marketing · SEO · Research

Fetch, deduplicate, and rank news from 5 curated topic areas into a daily digest saved to the OrbitOS vault.

Source Configuration

🔵 AI News

Source	URL	Type
TLDR AI	https://bullrich.dev/tldr-rss/ai.rss	RSS
The Rundown AI	https://rss.beehiiv.com/feeds/2R3C6Bt5wj.xml	RSS

🟢 Online Marketing

Source	URL	Type
Marketing AI Institute	https://www.marketingaiinstitute.com/blog/rss.xml	RSS
HubSpot Marketing	https://blog.hubspot.com/marketing/rss.xml	RSS
Search Engine Land	https://searchengineland.com/feed	RSS

🟡 SEO

Source	URL	Type
Search Engine Journal	https://www.searchenginejournal.com/feed/	RSS
Ahrefs Blog	https://ahrefs.com/blog/feed/	RSS
Semrush Blog	https://www.semrush.com/blog/feed/	RSS
Moz Blog	https://feedpress.me/mozblog	RSS
Neil Patel	https://neilpatel.com/blog/feed/	RSS

🟣 Marketing & AI Research

Source	URL	Type
arXiv (AI + marketing)	https://export.arxiv.org/api/query?search_query=all:marketing+AND+all:AI&sortBy=submittedDate&sortOrder=descending&max_results=10	API
Web search	Execute: web_search("AI marketing research 2026 generative AI") + web_search("marketing AI agent study 2026")	Search

Workflow

1. Check cache: Look for 50_Resources/Newsletters/YYYY-MM/YYYY-MM-DD-Digest.md (relative to vault root). If exists with today's date, return cached content.

2. Fetch feeds (see Provider Fallbacks for exact curl commands):

   • RSS sources: Use curl via terminal on each URL. Parse title, link, pubDate, description from XML. Fall back to web_extract if configured.
   • arXiv: Use curl on the API URL. Parse <entry> elements.
   • Web search: Run via web_search if configured; otherwise skip this section.

3. Classify each item into topic buckets:

   • ai — LLMs, GPT, Claude, agents, ML, AI tools
   • marketing — digital marketing, paid ads, content strategy, brand, B2B marketing
   • seo — search rankings, Google updates, SERP features, technical SEO, GEO
   • research — academic papers, studies, surveys, reports with data/statistics

4. Deduplicate: Items with 70%+ title word overlap across sources → merge into one entry tracking all source URLs.

5. Rank within each bucket by:

   • Relevance to the topic cluster
   • Content creation potential (can I write a post about this?)
   • Novelty (penalize if similar item in recent archives)
   • Recency

6. Generate digest — bilingual Thai/English:

# 📰 Daily Digest — YYYY-MM-DD

## 🔵 AI — Top 3
- **[Title]** — 1-line summary. [Source]
  → *Angle:* content idea in Thai
...

## 🟢 Online Marketing — Top 3
...

## 🟡 SEO — Top 3
...

## 🟣 Marketing & AI Research — Top 2
...

## 💡 Content Creation Opportunities
Top 5 across all buckets ranked by post potential:
1. ...

7. Save files (all paths relative to vault root):

   • 50_Resources/Newsletters/YYYY-MM/YYYY-MM-DD-Digest.md — curated digest
   • 50_Resources/Newsletters/YYYY-MM/Raw/ — raw extracted content per source if substantial

8. Curate high-value articles → migrate to 30_Research/

   • After generating the digest, scan Content Creation Opportunities and related articles
   • For each article worth keeping for future content creation:
     1. Copy/save as 30_Research/<slug-title>.md with frontmatter type: article + source URL
     2. Remove from Raw/ folder (don't keep raw dumps there long-term)
     3. Add a note in the Research file linking back to the digest
   • The user confirmed this: Raw/ = processing cache, 30_Research/ = permanent collection
   • Pitfall: Don't let Raw/ accumulate — it's a temp folder, not an archive
   • See references/article-curation-workflow.md for the full process

Output Format

Manual invocation (user asks directly): Display full digest with all 4 topic sections + content opportunities.

From start-my-day cron (07:00): Return condensed list:

**📰 Morning Briefing:**
🔵 AI: [N items] — top headline
🟢 Marketing: [N items] — top headline
🟡 SEO: [N items] — top headline
🟣 Research: [N items] — top headline
Full digest: [[YYYY-MM-DD-Digest]]

Provider Fallbacks

web_extract and web_search may be unavailable (no provider configured). Primary approach is curl via terminal. Only use web_extract/web_search if they return data.

Fetch commands (preferred — curl + terminal)

# RSS feeds: curl + parse XML inline
curl -sL --max-time 15 "https://bullrich.dev/tldr-rss/ai.rss" | head -500
curl -sL --max-time 15 "https://rss.beehiiv.com/feeds/2R3C6Bt5wj.xml" | head -500
curl -sL --max-time 15 "https://www.marketingaiinstitute.com/blog/rss.xml" | head -500
curl -sL --max-time 15 "https://blog.hubspot.com/marketing/rss.xml" | head -500
curl -sL --max-time 15 "https://searchengineland.com/feed" | head -500
curl -sL --max-time 15 "https://www.searchenginejournal.com/feed/" | head -500
curl -sL --max-time 15 "https://ahrefs.com/blog/feed/" | head -500
curl -sL --max-time 15 "https://www.semrush.com/blog/feed/" | head -500
curl -sL --max-time 15 "https://feedpress.me/mozblog" | head -500
curl -sL --max-time 15 "https://neilpatel.com/blog/feed/" | head -500

# arXiv API (XML — parse <entry> elements)
curl -sL --max-time 15 "https://export.arxiv.org/api/query?search_query=all:marketing+AND+all:AI&sortBy=submittedDate&sortOrder=descending&max_results=10" | head -300

# For truncated large feeds, extract titles only:
curl -sL --max-time 15 "https://rss.beehiiv.com/feeds/2R3C6Bt5wj.xml" | grep -o '<title>[^<]*</title>' | head -15

Source Health Notes

Source	Status	Note
TLDR AI	✅ Active	bullrich.dev/tldr-rss/ai.rss — reliable, rich descriptions
The Rundown AI	✅ Active	rss.beehiiv.com — HTML entities in titles ('), use grep for title extraction if truncated
Marketing AI Institute	✅ Active	Blog posts weekly, HubSpot-hosted
HubSpot Marketing	✅ Active	Very large feed, head -500 sufficient for recent items
Search Engine Land	✅ Active	WordPress RSS, standard format
Search Engine Journal	✅ Active	WordPress RSS, frequent updates
Ahrefs Blog	✅ Active	Fresh content, enterprise SEO focus
Semrush Blog	✅ Active	Data-driven SEO, frequent posts
Moz Blog	✅ Active	Fixed in June 2026 — URL changed from moz.com/blog/feed → feedpress.me/mozblog
Neil Patel	✅ Active	Marketing + SEO insights, daily posts
Google Search Central	❌ Permanently broken	developers.google.com/search/blog/feed 404 — blog discontinued/unhosted as of 2026
arXiv API	✅ Active	XML Atom feed, parse <entry> elements
Web Search	⚠️ Config-dependent	Requires web.search_backend configured via hermes tools

Cron Mode Constraints

• execute_code is BLOCKED in cron mode. Use individual terminal calls instead. Batch parallel curl fetches as separate tool calls in one response.
• web_search and web_extract may be unavailable if not configured at the profile level.
• When a tool fails with "No provider configured", silently fall back to curl + terminal — do not abort.

Content Creation Bridge

After generating the digest, the user may ask to write articles from the news items. When doing so, follow the Research-First approach documented in references/news-to-article.md.

Research-First: News → Article Pipeline

1. Identify the source articles linked in each news item — don't write from the digest summary alone
2. Read the original source articles — use curl -sL --max-time 20 with python3 -c for HTML text extraction; fall back to browser_navigate for Cloudflare/Vercel-protected sites
3. Extract key data: specific numbers, quotes, mechanisms, and causal relationships
4. Synthesize multiple sources into a coherent single narrative — don't just restate one article
5. Write in Thai with:
   • 📌 "Takeaway" callout boxes per section (labeled by topic, e.g. "GEO Takeaway", "Content Strategy Takeaway")
   • Data tables with comparison columns and emoji indicators (✅/❌/🟢/🟡/🔴)
   • A summary table of actionable takeaways at the end (with bulletproof reasoning column)
   • Source citations at the bottom linking back to originals
6. Save article to ~/vault/60_Articles/<slug>/article.md with title/description/date/category/tags in frontmatter
7. Save brief — optionally create a brief.md in the same 60_Articles// directory with the research notes and source summaries

Research fallback handling

When web_extract and web_search have no provider configured (common in this profile):

• Generic HTML articles: curl -sL --max-time 20 "<URL>" | python3 -c "import sys,re; html=sys.stdin.read(); html=re.sub(r'<script[^>]*>.*?</script>', '', html, flags=re.DOTALL); html=re.sub(r'<style[^>]*>.*?</style>', '', html, flags=re.DOTALL); text=re.sub(r'<[^>]+>', ' ', html); text=re.sub(r'\s+', ' ', text).strip(); print(text[:15000])"
• Sites with article tag: Target <article> element specifically: re.search(r'<article[^>]*>(.*?)</article>', html, re.DOTALL) then strip tags
• Cloudflare/Vercel blocked sites: Fall back to browser_navigate + browser_snapshot(full=true) or browser_scroll for longer articles
• VentureBeat: Known to have Vercel security checkpoint; always use browser tools (curl won't work)
• See orbites-ai-products skill for the HN Algolia API and GitHub Search API curl patterns

Thai content conventions

• Title: Hook-driven, ≤ 60 chars, includes curiosity gap or contrarian claim
• Opening paragraph: Hook that breaks reader expectation (not throat-clearing)
• Structure per section: Data table → explanation paragraph → 📌 Takeaway box
• End with: "ที่มา:" section listing all source articles as markdown links
• Avoid: generic "ในโลกดิจิทัลวันนี้" openings, artificial FAQ, keyword stuffing

Error Handling

• One source down: Skip, note in section header "(1 source unavailable)"
• All sources in a topic down: Show "⚠️ No new items today" for that section
• All sources down: Use yesterday's digest with warning
• arXiv returns empty: Skip research section gracefully
• Web search rate-limited: Use cached web results or skip
• Terminal output truncated (>50KB): Use grep to extract key fields (titles, links)
• Google Search Central 404: Skip silently, note in source summary
• Moz stale: Skip entirely unless user asks for historical SEO content