find-journal
FeaturedJournal recommendation engine for medical manuscripts. 2-pass matching against a curated public profile library plus any user-local private profiles, enriched with detailed write-paper profiles for top-5 output. Returns ranked recommendations with scope fit rationale, AI disclosure policy, and homepage links. Impact-factor and APC figures in a profile are point-in-time and may be stale — verify current metrics at the journal site. A pre-ranking acceptance-readiness pre-flight scans the manuscript for design-ceiling, unfixable-defect, and importance-risk signals to add an acceptance-feasibility axis alongside scope fit, and the output includes a reject-fallback cascade plan.
Install
Quality Score: 95/100
Skill Content
Details
- Author
- Aperivue
- Repository
- Aperivue/medsci-skills
- Created
- 3 months ago
- Last Updated
- yesterday
- Language
- Python
- License
- MIT
Bundled in these plugins
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Semantically similar based on skill content — not just same category
add-journal
Add a new journal to the MedSci Skills profile database. Extracts metadata from author guidelines, generates write-paper (detailed) and find-journal (compact) profiles in canonical format with quality gates.
journal-selector
Resolve a target food/nutrition journal to its author-guideline skill and formatting constraints. Use at the start of writing, formatting, or submission-prep for a food-science paper, and whenever the user names a journal they want to publish in or format their manuscript for, to load that journal's rules (word/abstract limits, structure, reference/citation style, figure spec). Triggers: which journal, target journal, publish on a journal, publish in a journal, I want to publish on Food Chemistry, submit to LWT, format for a journal, format my manuscript for a named journal, edit the manuscript based on a journal's style, journal style, journal reference style, journal citation style, submission guidelines, prepare for submission, pick a journal.
academic-aio
Medical AI paper optimization for AI search engines (Perplexity, ChatGPT web, Elicit, Consensus, SciSpace) and RAG-based literature tools. Applies when drafting or reviewing titles, abstracts, structured summary boxes (Key Points / Research in Context / Plain-Language Summary), manuscripts for high-impact medical AI journals (Lancet Digital Health, Radiology, Radiology-AI, npj Digital Medicine, Nature Medicine), preprints (medRxiv/arXiv), GitHub README + CITATION.cff + Zenodo archives, and Hugging Face model/dataset cards. Integrates TRIPOD+AI, CLAIM 2024, STARD-AI, TRIPOD-LLM, DECIDE-AI reporting requirements with generative engine optimization (GEO) principles. Produces a visible pass/fail checklist.