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".

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

1. 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.

1. 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.

1. 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.