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dental-ai-skills
dental-ai-skills에는 Tuminha에서 수집한 skills 7개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Use when the user asks to critique, peer-review, appraise, assess the credibility of, or evaluate the methodology, statistics, or bias of a single dental or oral-health research paper. Use for RCTs including split-mouth, cluster, and crossover designs; observational studies; diagnostic accuracy studies; systematic reviews and meta-analyses; animal studies; in-vitro dental studies; abstracts; and preprints. Do not use as the primary skill when the user asks what the body of evidence says or whether to change practice.
Use when the user asks what the body of evidence says about a dental treatment, protocol, or clinical question; asks to compare treatment options (e.g., A vs B); asks whether to change clinical practice; asks for current EFP/AAP/EAO/ITI/ADA guideline status; asks for GRADE certainty across the literature; or asks for evidence-graded decision support. Do not use for single-paper teardown — for single-paper appraisal, use research-critic. This skill is body-of-evidence and outcome-centric.
Use when the user asks to create dental education, social media, patient-facing, professional, or evidence-backed content. Produces audience-aware posts, articles, patient handouts, platform adaptations for LinkedIn/X/Instagram, hooks, CTAs, and no-overclaim clinical messaging.
Use when the user asks to turn a completed dental evidence review, paper critique, retrieval log, or statistical forensics audit into a polished HTML, PDF-ready, journal-club, teaching, or shareable report artifact. This skill formats already-completed analysis; it must not invent evidence, citations, effect sizes, or conclusions.
Use when the user needs a structured literature-search workflow for a dental clinical question. Converts a clinical question to PICO, builds search strategies for PubMed, Cochrane CENTRAL, guideline bodies (EFP, AAP, EAO, ITI, ADA), ClinicalTrials.gov, and PROSPERO, and produces a retrieval log template. Honest about runtime — never fabricates search results when retrieval is not actually possible. Use before clinical-evidence-reviewer when no body of evidence has been gathered yet.
Use when the user asks to generate dental clinical illustrations, patient infographics, branded dental visuals, surgical diagrams, anatomy comparisons, post-op visual instructions, or social media graphics using the included Gemini image-generation workflow.
Use when the user asks for a deep statistical or numerical audit of a dental/oral-health study, paper, abstract, systematic review, or evidence table. Use for standard deviations, confidence intervals, effect sizes, MCID, prediction or individual-patient variability, p-values, multiplicity, missing data, unit-of-analysis errors, clustered dental data, model appropriateness, survival analysis, diagnostic accuracy, meta-analysis statistics, and clinical interpretation of numbers.