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
Source commit cc462bc2069064b557c2fea12a1f83ed1fe67f66
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 7, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 373
- Repository last updated
- Nov 2, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- biostatistics Repository topic
- claude-code Repository topic
- claude-skills Repository topic
- clinical-research Repository topic
- diagnostic-accuracy Repository topic
- literature-review Repository topic
- manuscript Repository topic
- medical-ai Repository topic
- medical-research Repository topic
- meta-analysis Repository topic
- research Derived category
- docs Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 19,318 bytesSKILL.mdcore · 19,318 bytesreferences/ai_tool_citation_framing.mddoc · 4,064 bytesreferences/case_studies/kjr_mllm_2025.mddoc · 6,402 bytesreferences/checklists/AIO_GENERAL.mddoc · 13,563 bytesreferences/journal_summarybox_templates.yamlasset · 4,609 bytesreferences/launch_sequencing.mddoc · 2,815 bytesreferences/oac_funding_checklist.yamlasset · 4,977 bytesreferences/pre_draft_strategy.mddoc · 3,415 bytesreferences/reporting_guideline_mapping.mddoc · 3,961 bytesreferences/repository_and_cards.mddoc · 2,793 bytesreferences/schema_markup_templates/CodeRepository.jsonldasset · 990 bytesreferences/schema_markup_templates/Dataset.jsonldasset · 1,191 bytesreferences/schema_markup_templates/Person.jsonldasset · 885 bytesreferences/schema_markup_templates/README.mddoc · 2,444 bytesreferences/schema_markup_templates/ScholarlyArticle.jsonldasset · 1,647 bytesreferences/summary_box_specs.jsonasset · 1,701 bytesscripts/batch_metadata_audit.pyruns · 6,014 bytesscripts/check_summary_box.pyruns · 14,454 bytesscripts/validate_schema.pyruns · 9,706 bytesskill.ymlasset · 1,684 bytestemplates/aio_audit_checklist.md.j2asset · 4,113 bytestests/test_batch_metadata_audit.shruns · 3,168 bytestests/test_summary_box.shruns · 12,701 bytestests/test_validate_schema.shruns · 9,193 bytes
Read excerpt
# 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."