Claude Code Skills·Claude Skills·The open SKILL.md registry for Claude
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aipoch

@aipoch on GitHub →

510 Claude Code skills authored by aipoch.

updated 2026-07-06 · showing 481–510 of 510 by quality score

Average Pro QualityScore: 73.4/100

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Recommends appropriate statistical methods (T-test vs ANOVA, etc.) based.
Mine unstructured clinical text from MIMIC-IV to extract diagnostic logic.
Generate hospital discharge summaries from admission data, hospital course.
Generate graphical abstract layout recommendations based on paper abstracts.
NIH funding trend analysis to identify high-priority research areas.
Determine whether an incident in a clinical trial is a "major deviation.
Automatically scan document reference lists and check against Retraction.
Audit medical device technical files against EU MDR 2017/745 regulations.
Transform lengthy academic papers into concise, structured 250-word abstracts.
Map unstructured biomedical text to standardized ontologies (SNOMED CT.
Mock interview preparation tool for residency Match interviews. Generates.
Find validated alternative reagents based on literature citation data.
Creates engaging opening statements and powerful closings for medical.
Map spatial transcriptomics data from 10x Genomics Visium/Xenium onto.
Convert complex Venn diagrams with more than 4 sets to clearer Upset.
Converts complex medical abstracts into plain language summaries for.
Generate NIH Biosketch documents compliant with the 2022 OMB-approved.
Helps faculty and mentors draft standardized recommendation letters for.
Generate interactive anatomy quizzes for medical education with multiple.
Generate 3D animation scripts and lay explanations for drug mechanisms.
Predict neoantigens that may be recognized by the immune system based.
Generate medical referral letters with patient summary, reason for referral.
Generate standardized figure legends for scientific charts and graphs.
Auto-annotate cell clusters from single-cell RNA data using marker genes.
Generate journal club slides with background, critique, and discussion.
Generate USMLE Step 1/2 style clinical cases with patient history, physical.
Auto-generates comparison tables for concepts, drugs, or study results.
Assess translational gaps between preclinical models and human diseases.
Show journal impact factor and quartile trends over 5 years.
Interpret Alpha and Beta diversity metrics from 16S rRNA sequencing results.
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