Summarize latest arXiv quant-ph papers into categorized trend reports.
npx skills add https://github.com/orangekame3/skills --skill trend
Please help me install this Agent Skill. Skill: trend Source: https://github.com/orangekame3/skills/tree/main/trend Command: npx skills add https://github.com/orangekame3/skills --skill trend
このスキルは、最新の arxiv.quant-ph 論文を収集し、研究動向の把握を効率化します。膨大な論文の海から要点を把握する作業を自動化し、研究者がトレンドに集中できるよう支援します。
最新の arxiv quant-ph 論文を取得して日本語でトレンド要約レポートを作成してください。
High-intent search queries and answers about installing and using this skill.
The Skill fetches daily and deep search results from arXiv quant-ph, parses metadata, and generates a concise Japanese trend report categorized by interest areas like superconducting and surface code.
Topic classification works by parsing fetched arXiv quant-ph entries and categorizing them into specific interest areas such as superconducting, surface code, and calibration during the merge pipeline stage.
Yes, you can track newly fetched arXiv quant-ph papers without duplicates because the pipeline uses a known-arXivIds tracking mechanism to manage and filter previously processed entries.
The best way to automate daily arXiv research monitoring for quantum computing is running a local pipeline that fetches, parses, and merges quant-ph papers into an integrated trend report.
No, the arXiv trend analysis pipeline requires no external dependencies, operating entirely through local scripts to fetch, parse, merge, and check quant-ph research papers.
orangekame3Retrieve arXiv PDFs and generate structured note.md files from arq summaries.
mupengi-botFetch HTML from URLs and extract structured data into JSON or Markdown.
xdrshjrGenerates Word reports from Hugging Face Daily Papers by extracting abstracts, introductions, and figures.
CUexterSearch arXiv by keyword, author, category, or ID and fetch abstracts or PDFs.
