AI News Tracking: Let Your Agent Watch the Whole AI Scene for You
News digest, paper triage and builder watch — 6 real Skills that turn doomscrolling into a 10-minute daily briefing
Deep Skill Finder
You've probably hit these walls
Keeping up with AI has become a second job. New models, new tools, new drama — my feed is 90% noise and the signal is buried somewhere in between.
source: Reddit · r/artificial
I tried four RSS readers and three newsletters last year. I still miss the important releases and drown in the rest.
source: X · indie hacker
300+ papers a day in my area on arXiv. I skim titles at midnight and feel guilty about the ones I'll never open.
source: GitHub · research tooling discussions
Real voices scattered across Reddit / Hacker News / X / dev forums — stitched together, this is what people go through when doing "AI news tracking".
Lazy path · recommended
Install deep-skill-finder once — let your Agent find Skills for you
Whatever "AI news tracking" task you have, MEYO already has the matching Skills. You don't need to hunt one by one — install deep-skill-finder and your Agent will auto-search MEYO's 50,000+ Skill library on every task, recommending the best match. You just say what you want to do — matching Skills is the Agent's job.
Copy → paste into Claude Code / Codex / Cursor / WorkBuddy / CatPaw · Agent installs automatically:
Please install the deep-skill-finder skill: download the archive from https://www.meyo.life/skill-finder, extract it into your local skill directory and enable it.
Or browse common-scene Skills below. Learn more about deep-skill-finder →
meyo.life/skill
Three scenes, 2 real Skills each
Install them all, or just pick 1–2 by name. Don't worry about picking wrong — they're free, uninstall anytime.
News Digest
Compress the whole AI web into a 10-minute daily brief
Locates credible experts in a niche so your watchlist stays small and high-signal instead of sprawling
2308+ users
💬 Join the Deep Skill Finder Community
Trade "AI news tracking" workflows with other Deep Skill Finder users and get install help
FAQ
Q: Do AI news tracking skills burn a lot of tokens?
A: The core loop is fetch, filter, summarize. Tokens go mostly to the summarizing step — a daily brief typically costs a few thousand tokens, far less than reading dozens of articles yourself. Run it once or twice a day rather than polling continuously.
Q: Do these skills cover sources beyond arXiv?
A: The paper skills on this page focus on arXiv. Pair them with RSS-style skills to fold blogs, newsletters and GitHub releases into the same intelligence flow. Get arXiv running smoothly first, then add channels one at a time.
Q: Will builder-watch pick up too much noise?
A: Narrow the watchlist and keywords at setup — for example, track only model releases and open source projects. Iterate the keywords after a week based on output quality and the noise drops fast.
Q: Do I need my own API keys?
A: Most news aggregation skills work out of the box on public sources. A few social-tracking skills may require configuring a fetch channel — check the install page notes for specifics.
Q: The summaries are inconsistent. What do I fix?
A: Fix the output structure in your instruction — for example 'three-sentence summary plus one verdict line' — and specify the audience. A fixed frame makes model output far more stable.
Q: Why not just use RSS?
A: RSS solves collection; an agent skill solves filtering and digestion. It compresses dozens of raw items into a brief you finish in 10 minutes, and judges relevance against your focus — which a feed reader can't do.