القائمة
Use when the user wants to survey a journal or field, fetch papers from OpenAlex, cluster topics, build exploration embeddings, or search named explore libraries under data/libraries/explore.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | explore |
| description | Use when the user wants to survey a journal or field, fetch papers from OpenAlex, cluster topics, build exploration embeddings, or search named explore libraries under data/libraries/explore. |
从 OpenAlex 拉取文献（支持多维过滤），本地嵌入 + BERTopic 聚类 + 多模式搜索，用于文献调研。数据与主库完全隔离。
支持多种过滤维度，可任意组合：
# 按期刊 ISSN
scholaraio explore fetch --issn <ISSN> --name <名称> [--year-range <起-止>]
# 按研究概念
scholaraio explore fetch --concept <OpenAlex-concept-ID> --name <名称>
# 按作者
scholaraio explore fetch --author <OpenAlex-author-ID> --name <名称>
# 按机构
scholaraio explore fetch --institution <OpenAlex-institution-ID> --name <名称>
# 按关键词
scholaraio explore fetch --keyword "acoustic metamaterial" --name <名称>
# 多维组合 + 高引过滤
scholaraio explore fetch --institution I123 --year-range 2020-2025 --min-citations 50 --name <名称>
# 增量更新（追加新论文，DOI 去重）
scholaraio explore fetch --issn 0022-1120 --name jfm --incremental
全部过滤参数：
--issn — 期刊 ISSN--concept — OpenAlex concept ID--topic-id — OpenAlex topic ID--author — OpenAlex author ID--institution — OpenAlex institution ID--keyword — 标题/摘要关键词搜索--source-type — 来源类型（journal/conference/repository）--oa-type — 论文类型（article/review 等）--min-citations — 最小引用量--year-range — 年份过滤（如 2020-2025）--name — 探索库名称（默认从 filter 推导）--incremental — 增量更新模式常用期刊 ISSN：
scholaraio explore embed --name <名称> [--rebuild]
scholaraio explore topics --name <名称> --build
scholaraio explore topics --name <名称> --rebuild --nr-topics <N>
scholaraio explore topics --name <名称>
scholaraio explore topics --name <名称> --topic <ID> [--limit N]
# 语义搜索（默认）
scholaraio explore search --name <名称> "<查询词>" [--limit N]
# 关键词搜索（FTS5）
scholaraio explore search --name <名称> "<查询词>" --mode keyword
# 融合搜索（语义 + 关键词 RRF 排序）
scholaraio explore search --name <名称> "<查询词>" --mode unified
scholaraio explore viz --name <名称>
scholaraio explore list
scholaraio explore info
scholaraio explore info --name <名称>
对于全新探索库，完整流程是：fetch → embed → topics --build → viz
用户说："帮我拉取 JFM 的全部论文"
→ 执行 explore fetch --issn 0022-1120 --name jfm
用户说："帮我看看 acoustic metamaterial 领域有哪些研究"
→ 执行 explore fetch --keyword "acoustic metamaterial" --name acoustic-metamaterial
用户说："拉取某机构近 5 年高引论文"
→ 执行 explore fetch --institution I123 --year-range 2020-2025 --min-citations 50 --name inst-highcite
用户说："在 JFM 里搜 drag reduction"
→ 执行 explore search --name jfm "drag reduction"
用户说："用关键词搜索 JFM 中的 turbulence"
→ 执行 explore search --name jfm "turbulence" --mode keyword
用户说："更新 JFM 探索库"
→ 执行 explore fetch --issn 0022-1120 --name jfm --incremental
用户说："我有哪些探索库"
→ 执行 explore list（或 explore info）
Use when the user wants to install, configure, diagnose, or troubleshoot ScholarAIO, including setup check, dependency status, API keys, and bilingual setup flow.
Use when the user explicitly asks for Nature Skills, nature-skills, Nature style, Nature-style, Nature Communications, Nature-family, CNS, high-impact journal, or Springer Nature workflows, including Nature figure work, polishing, writing, reviewer critique, high-impact journal major revision response, Nature/CNS citations, Nature data-sharing workflows, paper readers, reviewer response, paper-to-PPT, submission checklist, or Nature-specific academic-search workflows.
Use when the user wants to rebuild or refresh ScholarAIO keyword, full-text, FTS5, FAISS, or semantic search indexes after data or metadata changes.
Use when the user wants to find academic papers, search the local library, run keyword or semantic search, search by author, explore topics, or federate across library, explore databases, and arXiv.
Use when the user wants to import papers from Endnote XML/RIS, Zotero Web API or local SQLite, attach PDFs, match PDFs to records, or supplement records with PDF content.
Use when the user wants to process new papers, patents, theses, documents, or proceedings from inbox queues into the knowledge base, run the ingest pipeline, or rebuild indexes.