researchassistant_skill

This skill helps you stay updated on your research topics by automatically monitoring new papers, conferences, and journals.
  • Python

2.6k

GitHub Stars

4

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill researchassistant

  • _meta.json463 B
  • README.md507 B
  • research_config.json126 B
  • SKILL.md2.5 KB

Overview

This skill monitors research topics for new papers, conferences, and journal issues and delivers concise updates only when meaningful items appear. It keeps a per-user topic list and a last-checked timestamp to avoid redundant notifications. The goal is minimal interruptions: you get short, actionable briefs when something genuinely new is found.

How this skill works

The skill reads a local configuration to find tracked topics and the last check date. It performs web searches across sources like arXiv, IEEE Xplore, Google Scholar (via web search) and conference listings to find new papers, upcoming conferences, and fresh journal issues. Found items are filtered against a seen-history; only novel, timely, and relevant items are compiled into a short report and presented to the user.

When to use it

  • Keep up-to-date on a focused research area without manual searching
  • Monitor incoming papers for a lab or research team
  • Track conference announcements and submission deadlines
  • Receive briefings only when significant new activity appears
  • Archive discovered items to avoid repeated alerts

Best practices

  • Configure clear, focused topics (few words to a short phrase) to reduce noise
  • Avoid overly broad topics; narrow terms yield more relevant results
  • Run daily or weekly checks depending on publication cadence
  • Mark false positives as seen to refine future filtering
  • Review and prune topics periodically to keep alerts useful

Example use cases

  • A PhD student tracks two subfields and receives a daily summary of new arXiv papers and conference CFPs
  • A PI monitors competitor groups for major papers and only sees summaries of high-impact releases
  • A research group watches a rapidly moving topic and gets immediate alerts about new preprints or special journal issues
  • A librarian or research manager compiles weekly briefs of new publications and conference deadlines for their department

FAQ

It compares the current date to the stored last-checked date and typically runs daily; it will skip checks if already run today unless forced.

What sources does it search?

It searches web-accessible research platforms and aggregators such as arXiv, IEEE Xplore, Google Scholar (via web search), journal issue listings, and conference announcement pages; you can tune sources by topic.

How does it avoid bothering me with minor updates?

Items are filtered against a seen-history and publication recency. If nothing significantly new is found (no major papers or announcements), it does not send a notification.

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