academic-aio

What problem does it solve?

Medical researchers often struggle to surface and correctly index AI-focused papers for AI search engines, LLMs, and RAG tools. This skill provides structured guidance and metadata templates to improve discoverability, reproducibility, and citation integrity of medical-AI manuscripts, README metadata, and model/dataset cards.

Core Features & Use Cases

• Provides a reusable framework to align manuscripts with GEO/AI search optimization principles (GEO, TRIPOD+AI, CLAIM, STARD-AI, TRIPOD-LLM, DECIDE-AI).
• Generates metadata-ready outputs (frontmatter, request prompts, and indexing-friendly summaries) for titles, abstracts, keywords, and governance docs.
• Use Cases: drafting or revising papers, preprints, GitHub READMEs, and model/dataset cards to maximize discoverability and accurate attribution.

Quick Start

Create a metadata skeleton for your medical-AI manuscript and request an audit of discoverability.