Individual skill

academic-aio

Use when a medical AI paper should be found and cited by AI search engines and RAG tools. Optimizes the title, abstract, summary box (Key Points, Research in Context), keywords, preprint, GitHub README/CITATION.cff and Hugging Face card, returning a visible pass/fail checklist.

skills/academic-aio/SKILL.md

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# Academic AIO Skill — Medical AI Paper Visibility for AI Search Engines

## Communication Rules

- Surface the checklist in the response. Never apply AIO edits silently.
- When a rule conflicts with journal formatting, defer to the journal and mark the item NA with the reason.
- When introducing a rule, cite its source (TRIPOD+AI, CLAIM, STARD-AI, Wu 2025, Algaba 2024, Aggarwal 2024 GEO) by DOI or arXiv ID from External References. Never invent a citation, DOI, arXiv ID, or reporting-guideline item number; mark anything you cannot verify `[VERIFY]`.

## Section 1 — Title and Abstract Optimization

### 1.1 Title three-slot rule
Structure: `[Task] + [Modality or anatomy] + [Model family or method class]`. Include one concrete differentiator (dataset scale, new benchmark, "first …") when defensible. Avoid keyword stuffing (penalized as spam by AI overviews).
- PASS: "Transformer-based segmentation of skull fractures on non-contrast head CT."
- FAIL: "A novel advanced deep-learning AI machine-learning framework for medical image analysis."