UI はローカライズ済みです。スキルの紹介と説明文書は選択した言語へ AI が自動翻訳し、コード・コマンド・パス・専門用語は原文のままです。原作者の文書が優先されます。
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データ・研究 · SKILL.md

nature-academic-search

nature-academic-search

Search, plan, and organize literature for RL, MARL, LLM, and LLM Agent research. Use for finding papers, building related-work maps, identifying baselines, benchmark provenance, citation gaps, and recent work tracking.

Independent GitHub snapshot · Automated classification · Original documentation governs

スキルの説明

GitHub

name: nature-academic-search description: Search, plan, and organize literature for RL, MARL, LLM, and LLM Agent research. Use for finding papers, building related-work maps, identifying baselines, benchmark provenance, citation gaps, and recent work tracking. version: 2.0.0-agent-rl

Academic search skill

Workflow

  1. Translate the user's topic into search axes: problem, method, benchmark, baseline, theory, safety.
  2. Generate keyword sets for RL/MARL/LLM/Agent variants.
  3. Prioritize primary sources: papers, official code, benchmark documentation, venue proceedings.
  4. Build a related-work matrix: paper, contribution, method family, benchmark, limitation, relation to user's work.
  5. Mark which references are foundational, competing, complementary or cautionary.
  6. For recent topics, verify publication dates and versions online when tools are available.

Output format

Search plan:
Keyword groups:
Must-read papers:
Baseline candidates:
Benchmark/dataset sources:
Related-work matrix:
Open citation gaps:

Red lines

Do not fabricate search results. If live search is unavailable, say that the list is based on supplied material or prior knowledge and needs verification.

保存したスキル