菜单
Cross-database search using unified_search across academic sources. Triggers: 跨資料庫, multi-source, Semantic Scholar, OpenAlex, CORE, Europe PMC, 綜合搜尋
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Orchestrate pre-commit workflow including Memory Bank sync, README/CHANGELOG/ROADMAP updates, and MCP tool count sync. Triggers: GIT, gc, push, commit, 提交, 準備 commit, 要提交了, git commit, pre-commit, 推送.
Codex harness for PubMed Search MCP. Triggers: pubmed search, literature search, unified_search, pipeline, fulltext, release checklist, Codex.
Pipeline persistence — save, load, and reuse structured search plans. Triggers: pipeline, 管道, search plan, 搜尋計畫, 重複搜尋, saved search, 排程, schedule, workflow, DAG
Complete reference for all 46 PubMed Search MCP tools. Triggers: 工具列表, all tools, 完整功能, tool reference, 有哪些工具
Agent-guided PICO clinical question search using parse_pico handoff and unified_search. Triggers: PICO, 臨床問題, A比B好嗎, treatment comparison, clinical question, 療效比較
Auto-update CHANGELOG.md following Keep a Changelog format. Triggers: CL, changelog, 變更, 版本, version, 更新日誌, whatsnew.
| name | pubmed-multi-source-search |
| description | Cross-database search using unified_search across academic sources. Triggers: 跨資料庫, multi-source, Semantic Scholar, OpenAlex, CORE, Europe PMC, 綜合搜尋 |
目前公開的多來源搜尋入口是 unified_search。它會自動在 PubMed、OpenAlex、Semantic Scholar、Europe PMC、CrossRef 之間分流，並在單次搜尋內做整合與去重。
新 workflow 不再直接依賴多個來源別 MCP 工具。對大多數文獻搜尋情境，應優先使用
unified_search，而不是舊的來源別工具名稱。
unified_search(
query="machine learning drug discovery",
sources="pubmed,openalex,semantic_scholar,europe_pmc",
limit=25,
ranking="balanced",
output_format="json"
)
sources 可選值pubmedopenalexsemantic_scholareurope_pmccrossref如果不指定，系統會自動選來源。
unified_search(
query="machine learning drug discovery",
limit=30,
ranking="balanced"
)
unified_search(
query="sepsis biomarkers",
sources="pubmed,europe_pmc",
limit=25,
ranking="quality"
)
unified_search(
query="COVID-19 vaccine efficacy",
sources="pubmed,europe_pmc,openalex",
options="preprints",
limit=30,
ranking="recency"
)
unified_search(
query="foundation models pathology",
sources="pubmed,openalex,semantic_scholar",
limit=30,
ranking="impact"
)
unified_search(
query="CRISPR gene therapy",
sources="pubmed,openalex,semantic_scholar,europe_pmc",
limit=20,
output_format="json"
)
unified_search(
query="remimazolam sedation",
sources="pubmed,europe_pmc,openalex,semantic_scholar",
limit=30,
ranking="balanced"
)
unified_search(
query="machine learning radiology",
limit=20,
output_format="json"
)
# 對選中的 PMID / DOI 進一步抓全文
get_fulltext(pmid="12345678", extended_sources=True)
unified_search(
query="CAR-T lymphoma",
limit=15,
ranking="impact"
)
find_related_articles(pmid="12345678")
find_citing_articles(pmid="12345678")
get_citation_metrics(pmids="12345678,23456789")
balanced: 預設，一般探索impact: 先找高影響力代表作recency: 先看最新研究與更新動態quality: 偏向高證據等級與較可靠研究options="preprints, shallow"
preprints: 想補最新未正式出版研究shallow: 只想快速掃過no_relax: 不希望零結果時自動放寬no_analysis: 程式輸出較乾淨pubmed-systematic-searchpubmed-pico-searchsearch_biomedical_imagespubmed-fulltext-access公開 MCP 介面中的文字文獻搜尋，應以 unified_search 為主，不再拆成來源別搜尋工作流。