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Claude Skills by aipoch
github.com/aipoch605 skills11 installs808 views
- Meta Title GeneratorGenerates Meta-Analysis research titles based on user keywords, utilizing PubMed search results if available, or creative generation otherwise. Use when the user wants to brainstorm or generate titles for a meta-analysis, specifically starting from keywords or a topic.Votes: 0GitHub stars: 1,793
- Metabolomics Workbench DatabaseAccess NIH Metabolomics Workbench (4,200+ studies) via REST API. Query metabolites, RefMet nomenclature, MS/NMR data, m/z search, study metadata for metabolomics and biomarker discovery.Votes: 0GitHub stars: 1,793
- Metagenomic Krona ChartAnalyze data with `metagenomic-krona-chart` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.Votes: 0GitHub stars: 1,793
- Motif Logo GeneratorGenerate publication-quality sequence logos for DNA or protein motifs.Votes: 0GitHub stars: 1,793
- Neoantigen PredictorPredict neoantigens that may be recognized by the immune system based.Votes: 0GitHub stars: 1,793
- Neurokit2Comprehensive biosignal processing for ECG/PPG/EEG/EDA/RSP/EMG/EOG; use when you need to clean, segment, and extract physiological features for HRV, event-related responses, complexity metrics, or multimodal psychophysiology pipelines.Votes: 0GitHub stars: 1,793
- Neuropixels AnalysisEnd-to-end Neuropixels extracellular electrophysiology analysis (SpikeGLX/Open Ephys/NWB) including preprocessing, motion correction, Kilosort4 spike sorting, QC metrics, and Allen/IBL-style curation; use when processing Neuropixels recordings or when users mention Neuropixels, SpikeGLX, Open Ephys, Kilosort, quality metrics, drift/motion correction, or unit curation.Votes: 0GitHub stars: 1,793
- Outcome Extraction For Clinical TrialsClinical research outcome extraction for meta-analysis. Use when users need to extract outcome measures (binary, continuous, or survival data) from clinical research papers for systematic review and meta-analysis. Handles both database lookup by PMID and real-time LLM extraction.Votes: 0GitHub stars: 1,793
- Outlier Detection HandlerUse outlier detection handler for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.Votes: 0GitHub stars: 1,793
- PathmlA full-featured computational pathology toolkit for advanced WSI analysis, including multiplexed immunofluorescence (CODEX, Vectra), nuclei segmentation, tissue graph construction, and machine learning model training on pathology data. Supports over 160 slide formats. For simp...Votes: 0GitHub stars: 1,793
- Pathology Roi SelectorUse pathology roi selector for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.Votes: 0GitHub stars: 1,793
- Phylogenetic Tree StylerAnalyze data with `phylogenetic-tree-styler` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.Votes: 0GitHub stars: 1,793
- Preclinical Pkpd AnalystUse preclinical pkpd analyst for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.Votes: 0GitHub stars: 1,793
- Probast Quality Assessment For Prediction Model StudiesAssess bias in medical prediction model studies using PROBAST tool. Use when user wants to evaluate the quality or risk of bias of a medical paper (text or PDF).Votes: 0GitHub stars: 1,793
- Protocol Deviation ClassifierClassify clinical trial protocol deviations as major or minor based on ICH E6/GCP guidelines. Three-impact-dimension assessment (safety, data integrity, scientific validity), confidence scoring, and regulatory compliance reporting with recommended actions.Votes: 0GitHub stars: 1,793
- Pseudotime Trajectory VizAnalyze data with `pseudotime-trajectory-viz` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.Votes: 0GitHub stars: 1,793
- Pydeseq2Differential gene expression analysis for bulk RNA-seq count matrices using a DESeq2-like workflow in Python; use when you need Wald tests, FDR correction, and optional LFC shrinkage for condition/batch/covariate designs.Votes: 0GitHub stars: 1,793
- PydicomA Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when you need to read, write, or modify DICOM format medical imaging data, extract pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymize DICOM files,...Votes: 0GitHub stars: 1,793
- PyhealthHealthcare AI toolkit for clinical ML. EHR processing, clinical prediction (mortality, readmission, drug recommendation), medical coding (ICD/NDC/ATC), signals (EEG/ECG), datasets (MIMIC-III/IV, eICU, OMOP), and healthcare deep learning (RETAIN, SafeDrug, Transformer, GNN) via...Votes: 0GitHub stars: 1,793
- Pyopenms SkillComprehensive tool for computational mass spectrometry using PyOpenMS; use when you need to read/write MS formats (mzML/mzXML/MGF), run signal processing (smoothing/peak picking), detect isotope features, or perform peptide identification in proteomics/metabolomics workflows.Votes: 0GitHub stars: 1,793
- PysamGenomic file toolkit. For reading/writing SAM/BAM/CRAM alignment files, VCF/BCF variant files, FASTA/FASTQ sequences, extracting regions, calculating coverage, suitable for NGS data processing pipelines.Votes: 0GitHub stars: 1,793
- Quadas C Assessment For Diagnostic Accuracy StudiesAutomated bias assessment for diagnostic accuracy studies using QUADAS-C criteria. Requires full text input.Votes: 0GitHub stars: 1,793
- Quality AssessmentAutomates critical appraisal and quality assessment for research papers by analyzing text against established methodological standards (such as risk of bias tools, quality checklists, or reporting guidelines) and synthesizing a structured evaluation report. Use when you need to assess the methodological quality, internal validity, or reporting completeness of any type of study—including RCTs, observational studies, systematic reviews, qualitative research, or diagnostic accuracy studies.Votes: 0GitHub stars: 1,793
- Quapas Quality Assessment For Prognosis StudiesEvaluates bias in medical literature (prognosis studies) using QUAPAS criteria. Use when the user wants to assess the quality or risk of bias of a medical paper text.Votes: 0GitHub stars: 1,793
- Rct Bias Assessment Rob2Automates Risk of Bias 2 (ROB2) assessment for RCT papers by analyzing text against specific domains and synthesizing a report. Use when you need to assess the quality of a clinical trial paper or evaluate risk of bias.Votes: 0GitHub stars: 1,793
- RowanCloud-based quantum chemistry platform providing a Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformational search, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2). Suitable for tasks involving quantum chemistry calculations, molecular property prediction, DFT or semi-empirical methods, neural network potentials (AIMNet2), protein-ligand binding prediction, ...Votes: 0GitHub stars: 1,793
- Sanger Chromatogram QaUse sanger chromatogram qa for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.Votes: 0GitHub stars: 1,793
- ScanpyStandard single-cell RNA-seq analysis pipeline. For quality control (QC), normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression analysis, and visualization. Best suited for exploratory single-cell transcriptomics analysis using established workflows. For deep learning models, use scvi-tools; for data format issues, use anndata.Votes: 0GitHub stars: 1,793
- Scikit BioA Python bioinformatics toolkit for sequence, phylogeny, and microbiome/community-ecology analysis; use it when you need to compute diversity/ordination/statistics from biological data and standard formats (FASTA/FASTQ/Newick/BIOM).Votes: 0GitHub stars: 1,793
- Scikit SurvivalA comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival; use it when you need to model censored time-to-event outcomes, fit Cox/RSF/GB models or Survival SVMs, evaluate with C-index/Brier score, or handle competing risks.Votes: 0GitHub stars: 1,793
- Scrna Cell Type AnnotatorAuto-annotate cell clusters from single-cell RNA data using marker genes.Votes: 0GitHub stars: 1,793
- Scvi ToolsDeep generative models for single-cell omics; use when you need probabilistic batch correction (scVI), transfer learning, uncertainty-aware differential expression, or multimodal integration (totalVI/MultiVI).Votes: 0GitHub stars: 1,793
- SeabornStatistical visualization library integrated with pandas; use it when you need fast EDA of distributions, relationships, and categorical comparisons (e.g., box/violin/pair plots and heatmaps) with strong default aesthetics on top of matplotlib.Votes: 0GitHub stars: 1,793
- Sequence AlignmentA skill for performing sequence alignment using NCBI BLAST API. Supports nucleotide and protein sequence comparison against major biological databases.Votes: 0GitHub stars: 1,793
- ShapModel interpretability and explainability using SHAP (SHapley Additive exPlanations). Feature importance, dependence plots, interaction effects, and fairness analysis for any black-box model.Votes: 0GitHub stars: 1,793
- Singlecell PortalProgrammatically query public single-cell study metadata from the Broad Institute Single Cell Portal REST API when you need to search and filter datasets by organism, tissue, disease, or cell type without an API key.Votes: 0GitHub stars: 1,793
- Smiles De SalterAnalyze data with `smiles-de-salter` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.Votes: 0GitHub stars: 1,793
- Spatial Transcriptomics MapperMap spatial transcriptomics data from 10x Genomics Visium/Xenium onto.Votes: 0GitHub stars: 1,793
- Statistical Analysis AdvisorRecommends appropriate statistical methods (T-test vs ANOVA, etc.) based.Votes: 0GitHub stars: 1,793
- Statistical AnalysisGuided statistical analysis for test selection, assumption checks, power analysis, and APA-style reporting. Use when you need to choose an appropriate statistical test for your data and produce publication-ready results (including effect sizes and diagnostics).Votes: 0GitHub stars: 1,793
- Study Design Scale SelectorDetermines the appropriate Risk of Bias assessment scale for a medical study based on its design (RCT, Cohort, etc.), using PubMed metadata lookup or text analysis. Use when the user wants to know which quality assessment tool to use for a specific paper (given PMID or abstract).Votes: 0GitHub stars: 1,793
- Survival Analysis KmKaplan-Meier survival analysis tool for clinical and biological research. Generates publication-ready survival curves with statistical tests.Votes: 0GitHub stars: 1,793
- Survival Curve Risk TableAnalyze data with `survival-curve-risk-table` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.Votes: 0GitHub stars: 1,793
- Table 1 Generator AdvancedGenerate publication-ready baseline characteristics tables (Table 1) for clinical research papers with automatic variable type detection, appropriate statistics (mean±SD, median[IQR, n(%)), group comparisons (t-test, chi-square), and APA formatting.Votes: 0GitHub stars: 1,793
- Table 1 GeneratorAutomated generation of baseline characteristics tables (Table 1) for clinical research papers.Votes: 0GitHub stars: 1,793
- Tooluniverse Statistical ModelingStatistical modeling and regression analysis for biomedical data. Linear/logistic/ordinal regression, Cox proportional hazards, mixed-effects models, ANOVA, with odds ratios, hazard ratios, confidence intervals, and model diagnostics.Votes: 0GitHub stars: 1,793
- Toxicity Structure AlertAnalyze data with `toxicity-structure-alert` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.Votes: 0GitHub stars: 1,793
- Upset Plot ConverterConvert complex Venn diagrams with more than 4 sets to clearer Upset.Votes: 0GitHub stars: 1,793
- Variant Pathogenicity PredictorIntegrate REVEL, CADD, PolyPhen scores to predict variant pathogenicity.Votes: 0GitHub stars: 1,793
- Volcano Plot LabelerAnalyze data with `volcano-plot-labeler` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.Votes: 0GitHub stars: 1,793