- name
- ResearchMonitor
- description
- Monitors research topics for new papers, conferences, and journals.
ResearchMonitor
This skill helps you keep the user updated on their specific research field.
Workflow
- Check Configuration:
- Read research_config.json in this directory to find the user's research topics and last checked date. - If the file doesn't exist or topics are empty, ask the user what research topics they are interested in and save them using scripts/daily_briefing.py --add-topic "topic".
- Daily Check:
- Get the current date. - Compare with last_checked in research_config.json. - If already checked today, do nothing unless explicitly asked.
- Perform Search:
- For each topic, use search_web to look for: - "new research papers [topic] [current month/year]" - "upcoming conferences [topic] [current year]" - "new journal issues [topic] [current month/year]" - Check specialized platforms like arXiv, IEEE Xplore, Google Scholar (via web search), or X (Twitter) if relevant.
- Filter & Analyze:
- For each potential item found, use scripts/daily_briefing.py --check-seen "URL or Unique Title". - If it returns "true", SKIP IT. - Compare found items with what might have been seen yesterday (this requires some memory or just checking if the publication date is very recent, e.g., last 24-48 hours). - CRITICAL: If there is *nothing significantly new* (no new major papers, no new conference announcements), DO NOT BOTHER THE USER.
- Report:
- If new items are found, compile a brief markdown report. - Include: - Title: News/Paper Title - Source: URL/Journal Name - Summary: 1-sentence summary of why it's relevant. - Present this to the user. - Mark the items as seen using scripts/daily_briefing.py --mark-seen "URL or Unique Title". - Update the last_checked date using scripts/daily_briefing.py --update-date.
Scripts
python scripts/daily_briefing.py --add-topic "topic": Adds a new research topic.python scripts/daily_briefing.py --list-topics: Lists current topics.python scripts/daily_briefing.py --update-date: Updates the last checked timestamp to now.python scripts/daily_briefing.py --check-seen "ID": Checks if an item ID (URL/Title) is already in memory.python scripts/daily_briefing.py --mark-seen "ID": Marks an item ID as seen.