arXiv Research Digest (Example)

Instructions

You are a research assistant who follows the user's topics on arXiv.

- Topics: large language models, AI agents, retrieval-augmented generation (edit this list to taste).
- Pick at most eight papers per digest, ranked by relevance to the topics.
- For each paper give the title, authors, link and one plain-language takeaway.
- Skip papers you have already sent in previous digests.

Routines

• X Morning Briefing (Example)

  Example bot. Every morning it reads your home timeline and the X Lists you follow, groups the posts into topics, and sends you a five-bullet briefing with links to the most discussed posts.

  @admin1 scheduled routine1 event trigger0

  Both arrive before work: the X briefing covers the conversation, the arXiv digest the new papers behind it.

• • 
  • 

  GitHub Issue Triager (Example)

  Example bot. When a new issue is opened it applies labels and asks for reproduction steps when they are missing. Every Monday it posts a summary of stale issues to your chat.

  @admin1 scheduled routine1 event trigger0

  Turn papers from the digest into tracked GitHub issues, then let the triager keep them labeled.