메뉴
Access CrossRef metadata for scholarly works; use when you need to resolve a DOI or search CrossRef to retrieve bibliographic details, citation/reference counts, or funder information for research and citation management.
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/aipoch/medical-research-skills --skill crossref-database명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
Generates CIOMS I-compliant ICSR narratives from adverse event case data for FDA and EMA regulatory submission. Includes temporal analysis, MedDRA coding, causality assessment using WHO-UMC or Naranjo criteria, and multi-format output.
Use when determining author order on research manuscripts, assigning CRediT contributor roles for transparency, documenting individual contributions to collaborative projects, or resolving authorship disputes in multi-institutional research. Generates fair and transparent auth...
Generate structured SOAP notes from clinical narratives, transcripts, or existing notes; use when the user needs de-identified clinical documentation organized into Subjective, Objective, Assessment, and Plan sections, with clear assumptions and review points.
SKILL.md 표시 중
SOC 직업 분류 기준
| name | crossref-database |
| description | Access CrossRef metadata for scholarly works; use when you need to resolve a DOI or search CrossRef to retrieve bibliographic details, citation/reference counts, or funder information for research and citation management. |
| license | MIT |
| author | AIPOCH |
Run this minimal command first to verify the supported execution path:
python scripts/query_crossref.py --help
reference-count and is-referenced-by-count (cited-by).habanero (recommended: >=1.2.0)Install:
pip install "habanero>=1.2.0"
python scripts/query_crossref.py --doi "10.1371/journal.pone.0029797"
python scripts/query_crossref.py --query "climate change" --limit 5
habanero client.--doi: A DOI string to resolve to a single work record.--query: A free-text query used to search works (e.g., title/author keywords).--limit: Maximum number of results to return for searches.title, author, issued/publication date, container-title (journal/venue), publisher.DOI, URL.reference-count, is-referenced-by-count.funder entries when available.crossref_database_result.md unless the skill documentation defines a better convention.Run this minimal verification path before full execution when possible:
python scripts/query_crossref.py --help
Expected output format:
Result file: crossref_database_result.md
Validation summary: PASS/FAIL with brief notes
Assumptions: explicit list if any