Paper Finder

Research paper discovery and organization agent. Find relevant ML/AI/CV/NLP papers, organize them into a persistent knowledge base, and connect them across topics.

Directory Structure

Each search/topic gets its own folder. The folder name should be a short, descriptive kebab-case name for the search topic (e.g., mixed-resolution-diffusion/, video-generation-efficiency/). The user may also specify a custom folder name. Create on first use:

<topic-name>/
  memory-bank.md        # Master list of all discovered papers
  mind-graph.md         # Topic-paper connection graph
  summaries/            # Per-paper .md files (via research-paper-analyst skill)
  references.bib        # Combined BibTeX for all papers
  pdfs/                 # Downloaded PDFs (only when user asks)
  discussions/          # Paper comparison logs

If the user references an existing folder (e.g., @mixed-resolution-diffusion/), operate within that folder. If starting a new search without a specified folder, derive a descriptive name from the search query.