Techniques for querying academic databases (ArXiv, Semantic Scholar, PubMed) and code repositories (GitHub)
Techniques for querying academic databases (ArXiv, Semantic Scholar, PubMed) and code repositories (GitHub)
npx skills add https://github.com/hongluu92/research-kit --skill academic-searchこのコマンドをClaude Codeにコピー＆ペーストしてスキルをインストール
Autonomous task execution cycle: Plan -> Research -> Prototype -> Evaluate -> Report
Methodologies for rapidly building software proofs-of-concept
Writing engaging yet rigorous academic text and generating reports
Standards for academic citation and findings connected papers
Standards for version control, commit messages, and branching strategy
Management of local knowledge, embeddings, and information retrieval (RAG)
| name | academic-search |
| description | Techniques for querying academic databases (ArXiv, Semantic Scholar, PubMed) and code repositories (GitHub) |
This skill provides strategies and tool usage patterns for effectively searching academic literature. It focuses on precision searching to find high-quality, relevant papers.
Start with a broad topic and generate synonyms.
Use standard operators to refine searches:
AND: narrow results (e.g., LLM AND "clinical trial")OR: broaden results (e.g., cancer OR oncology)NOT: exclude specific terms (e.g., virus NOT "computer virus")cat:cs.AI, cat:cs.CL).LLM language:python).Use the provided Python scripts to fetch data.
python .research-agent/skills/academic-search/scripts/arxiv_fetcher.py --query "Machine Learning" --max_results 5
python .research-agent/skills/academic-search/scripts/scholar_fetcher.py --query "Transformer Architecture" --limit 5
python .research-agent/skills/academic-search/scripts/github_fetcher.py --query "Research Agent" --limit 5 --sort stars