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Search Semantic Scholar for papers with rich metadata — citation counts, AI-generated TLDRs, influence scores, citation graphs. Use for finding established research, tracing citation chains, understanding paper impact and field structure.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Web-grounded SOTA discovery using Perplexity Sonar models via OpenRouter. Use when academic APIs return foundational papers but you need to know what's CURRENT — what has superseded older methods, what practitioners actually use today, and what was released in the last weeks/months.
AI frontier plugin — gives Claude and agents access to latest scientific research, SOTA discovery, and architecture evaluation. Use when needing SOTA methods, research consensus, implementation guidance, or evaluating whether a codebase uses optimal patterns and architectures.
Search arXiv for latest AI/ML preprints. Use when Claude needs bleeding-edge research not yet in peer-reviewed journals — newest methods, architectures, training techniques, benchmarks.
Search Hugging Face Papers for AI/ML research with AI-generated summaries, keywords, community upvotes, and trending papers. Use when Claude needs community-curated research, AI-generated paper summaries, or trending ML papers.
| name | semantic-scholar-search |
| description | Search Semantic Scholar for papers with rich metadata — citation counts, AI-generated TLDRs, influence scores, citation graphs. Use for finding established research, tracing citation chains, understanding paper impact and field structure. |
| keywords | ["semantic-scholar","citations","papers","research","tldr","impact","academic","literature"] |
Search 200M+ papers with rich metadata. No API key required (100 req/sec).
Two modes:
SCRIPT=$(find ~/.claude/plugins -path "*/ai-frontier/skills/semantic-scholar-search/scripts/search.mjs" 2>/dev/null | head -1)
# Search mode
node "$SCRIPT" "your query" [maxResults] [--year=2024] [--open-access]
# Detail mode (get paper + citations + references)
node "$SCRIPT" --detail=<s2PaperId|DOI|ArXiv:id>
| Arg | Default | Description |
|---|---|---|
| query | (required) | Natural language search query |
| maxResults | 10 | Number of results (1-100) |
| --year=YYYY | none | Only papers from YYYY onward |
| --open-access | false | Only papers with free PDF |
| --detail=ID | n/a | Get full details for a specific paper |
results[].tldr — AI-generated one-sentence summary (from S2)results[].citations — total citation countresults[].source_specific.influential_citations — citations from influential papersresults[].source_specific.fields_of_study — e.g., ["Computer Science", "Mathematics"]paper.top_references and paper.recent_citations for citation graph# Find influential papers on RLHF
node "$SCRIPT" "reinforcement learning from human feedback" 10
# Recent papers only (2025+)
node "$SCRIPT" "mixture of experts scaling" 15 --year=2025
# Get details + citation graph for a specific paper
node "$SCRIPT" --detail=ArXiv:2210.11416