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survey-papers

Search for papers and similar competition solutions related to the competition, and summarize in survey/papers/. Use during the research phase or when exploring new approaches.

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SKILL.md (original)

Review the instructions the agent will receive before you install.

Paper & Solution Research Skill

Steps

  1. Determine Search Query:

    • Use $ARGUMENTS if provided
    • Otherwise extract related keywords from the competition name in KAGGLE_DIRECTION.md
  2. Research via WebSearch (search the following in parallel):

    • Related papers on arXiv
    • Top solutions from similar past competitions across platforms (Kaggle / grand-challenge.org / MICCAI Challenges / CodaBench — not limited to Kaggle)
    • Related methods on Papers With Code
    • Related implementations on GitHub
  3. Summarize each paper/solution:

    • Title, authors, URL
    • Method summary (3-5 lines)
    • Model/architecture used
    • Dataset & evaluation metrics
    • Key results
    • Applicability to this competition
  4. Return the full research output:

    • This skill runs in context: fork (read-only Explore agent), so do not save files inside the fork
    • Return the full research output, organized by category (dataset papers, method papers, benchmark papers, tools/libraries), as the final response
    • The receiving main conversation appends and saves it to survey/papers/maybe_related_research.md
  5. Propose transfer ideas:

    • List methods potentially applicable to this competition
    • Evaluate implementation difficulty and expected impact

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