system-paper-skill

To find system papers, you can search using English or Chinese queries. The skill maps your topic to system sub-areas and returns ranked A/B venues with DBLP links, search URLs, and paper metadata.

Yes, you can generate BibTeX entries and formatted citations for operating systems research. The skill formats citations, fetches BibTeX data, and verifies the authenticity of the retrieved entries.

The best way to build reproducible search workflows for cloud systems papers is by generating query URLs. The skill builds direct search links for DBLP, Google Scholar, Semantic Scholar, and OpenAlex.

Yes, the paper search workflow supports bilingual Chinese and English queries. It handles topic-to-area mapping for both languages to retrieve system and infrastructure research papers effectively.

Candidate papers are reranked by analyzing relevance, venue match, recency, and citation count. This multi-source retrieval process ensures you receive a prioritized list of system papers.

Yes, you need the requests library installed as a dependency. It is required for the skill to fetch candidate papers and generate reproducible retrieval workflows across multiple databases.