ResearchMonitor

This skill helps you keep the user updated on their specific research field.

Workflow

1. 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".

2. Daily Check:

   • Get the current date.
   • Compare with last_checked in research_config.json.
   • If already checked today, do nothing unless explicitly asked.

3. 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.

4. 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.

5. 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.