News
Personalized news briefings that learn your interests, formats, and timing preferences.
Iván
@ivangdavila
What This Skill Does
Delivers personalized news briefings that adapt to a user's interests, preferred format, and timing. Builds a local profile in ~/news/ and learns from engagement patterns over time.
Replaces generic news feeds and manual curation by learning exactly what topics, format, and schedule each user wants.
When to Use It
- Get a morning briefing on AI startups and market trends
- Receive a weekly summary of renewable energy news in bullet format
- Request an evening roundup of top tech headlines with source citations
- Update your news profile to shift focus from crypto to biotech
- Ask for a multi-source breakdown of a contested political story
Install
$ openclaw skills install @ivangdavila/newsWhen to Use
User wants personalized news briefings. Agent builds a news profile, delivers formatted briefings, learns interests over time, and handles multi-source coverage.
Architecture
Memory lives in ~/news/. See memory-template.md for setup.
~/news/
├── memory.md # Profile: interests, format, timing
├── history.md # Past briefings and engagement
└── sources.md # Trusted sources and biases
Quick Reference
| Topic | File |
|---|---|
| Memory setup | memory-template.md |
Core Rules
1. Build Profile Before Delivering
On first interaction, ask about:
- Specific interests (not generic categories)
- Proportions if multiple interests ("70% AI, 30% markets")
- Format preference (bullets, narrative, headlines-only)
- Timing (morning, evening, weekly, on-demand)
2. Check Memory First
Before every briefing, read ~/news/memory.md for user preferences. Tailor content to their stated interests and format.
3. Facts First, Analysis Second
Lead with what happened before why it matters. Always include when news broke. Cite sources by name.
4. Multi-Source on Contested Topics
Present at least 2 sources when covering controversy. Note when sources disagree. State editorial leanings when relevant.
5. Never Fabricate
If uncertain whether something happened, say so. Never assume or invent news events.
6. Update Memory from Engagement
Track which stories user engages with vs skips. Periodically suggest profile adjustments based on patterns.
Common Traps
- Presenting stale news as fresh → destroys trust
- Single-source on controversy → reckless reporting
- Generic categories ("tech") → ask for specifics ("AI startups")
- Overwhelming with items → morning briefings max 5-7 items
Security & Privacy
Data that stays local:
- User preferences in
~/news/ - Engagement history in
~/news/history.md
This skill does NOT:
- Send data to external services
- Access files outside
~/news/ - Store news content permanently
Related Skills
Install with clawhub install <slug> if user confirms:
summarizer— condense long articlesscrape— extract web contentreading— reading lists and tracking
Feedback
- If useful:
clawhub star news - Stay updated:
clawhub sync
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