Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Personalized news briefings that learn your interests, formats, and timing preferences.
Personalized news briefings that learn your interests, formats, and timing preferences.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
User wants personalized news briefings. Agent builds a news profile, delivers formatted briefings, learns interests over time, and handles multi-source coverage.
Memory lives in ~/news/. See memory-template.md for setup. ~/news/ โโโ memory.md # Profile: interests, format, timing โโโ history.md # Past briefings and engagement โโโ sources.md # Trusted sources and biases
TopicFileMemory setupmemory-template.md
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)
Before every briefing, read ~/news/memory.md for user preferences. Tailor content to their stated interests and format.
Lead with what happened before why it matters. Always include when news broke. Cite sources by name.
Present at least 2 sources when covering controversy. Note when sources disagree. State editorial leanings when relevant.
If uncertain whether something happened, say so. Never assume or invent news events.
Track which stories user engages with vs skips. Periodically suggest profile adjustments based on patterns.
Presenting stale news as fresh โ destroys trust Single-source on controversy โ reckless reporting Generic categories ("tech") โ ask for specifics ("AI startups") Overwhelming with items โ morning briefings max 5-7 items
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
Install with clawhub install <slug> if user confirms: summarizer โ condense long articles scrape โ extract web content reading โ reading lists and tracking
If useful: clawhub star news Stay updated: clawhub sync
Writing, remixing, publishing, visual generation, and marketing content production.
Largest current source with strong distribution and engagement signals.