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Data & Analytics · aipoch/medical-research-skills
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 49 | A skill your agent uses when you need a standardized R CLI workflow to run two-class SVM-RFE feature ranking on an expression-like matrix, choose an informative feature count from cross-validated… | aipoch/ | 1.9k | — | ~1.8k | Automated safety check: Pass | MIT | 24 days ago |
| 50 | A skill your agent uses when performing sample-level dimensionality reduction and visualization on abundance or OTU-style matrices with a companion group file, generating UMAP and/or t-SNE… | aipoch/ | 1.9k | — | ~2.7k | Automated safety check: Pass | MIT | 24 days ago |
| 51 | A skill your agent uses when running prognostic survival analysis on a clinical cohort with time-to-event data to estimate univariate and multivariable Cox proportional hazards models, export result… | aipoch/ | 1.9k | — | ~2.7k | Automated safety check: Pass | MIT | 24 days ago |
| 52 | A skill your agent uses when building XGBoost models on tabular data and returning feature importance ranking outputs. | aipoch/ | 1.9k | — | ~1.9k | Automated safety check: Pass | MIT | 24 days ago |
| 53 | A skill your agent uses when identifying collaboration opportunities across fields, finding experts in complementary disciplines, translating methodologies between scientific domains, or building… | aipoch/ | 1.9k | — | ~2.6k | Automated safety check: Pass | MIT | 24 days ago |
| 54 | A skill your agent uses when interpreting scientific graphs and charts, explaining data visualizations for research presentations, writing figure captions for publications, or analyzing trends in… | aipoch/ | 1.9k | — | ~3.4k | Automated safety check: Pass | MIT | 24 days ago |
| 55 | 55.Gene Info Retrieves comprehensive gene information including PubMed publication counts, NCBI summaries, and Ensembl transcript data. | aipoch/ | 1.9k | — | ~2.3k | Automated safety check: Pass | MIT | 24 days ago |
| 56 | 56.Gsea Run GSEA on a ranked gene list and produce the enrichment table, running-score table, and enrichment plots. | aipoch/ | 1.9k | — | ~2.2k | Automated safety check: Pass | MIT | 24 days ago |
| 57 | Generates PI(E)COS structure (Population, Intervention, Comparator, Outcomes, Study Design) from Meta-analysis or study titles. | aipoch/ | 1.9k | — | ~1.9k | Automated safety check: Pass | MIT | 24 days ago |
| 58 | Analyzes forest plots for meta-analysis, generating detailed descriptions and formatting figure legends in Chinese or English. | aipoch/ | 1.9k | — | ~1.9k | Automated safety check: Pass | MIT | 24 days ago |
| 59 | Generates the "Risk of Bias" results section for a meta-analysis based on assessment tables and statistics. | aipoch/ | 1.9k | — | ~2k | Automated safety check: Pass | MIT | 24 days ago |
| 60 | A comprehensive auditor for any agent skill — including Manus, OpenClaw/ClawHub, Claude, LobeHub, or custom SKILL.md-based skills. | aipoch/ | 1.9k | — | ~6.9k | Automated safety check: Pass | MIT | 24 days ago |
| 61 | 61.Anndata Data structure for annotated matrices in single-cell analysis; use when reading/writing .h5ad (or zarr) and exchanging data with the scverse ecosystem. | aipoch/ | 1.9k | — | ~1.7k | Automated safety check: Pass | MIT | 24 days ago |
| 62 | Sequence alignment and alignment file processing with Biopython (Bio.Align/Bio.AlignIO), triggered when you need global/local pairwise alignment, MSA read/write/format conversion, or alignment… | aipoch/ | 1.9k | — | ~1.6k | Automated safety check: Pass | MIT | 24 days ago |
| 63 | Use Bio.Phylo to read/write phylogenetic trees and perform visualization and statistics; use when tree parsing/conversion, pruning/rerooting, distance calculation, or plotting is required. | aipoch/ | 1.9k | — | ~1.8k | Automated safety check: Pass | MIT | 24 days ago |
| 64 | Use Biopython to read/write/convert biological sequence files (FASTA/GenBank/FASTQ, etc.) and perform basic sequence operations; use when you need reliable sequence I/O, lightweight sequence… | aipoch/ | 1.9k | — | ~2.1k | Automated safety check: Pass | MIT | 24 days ago |
| 65 | Comprehensive analytics tool for forecasting breakthrough therapeutic technologies by integrating multi-dimensional data sources including clinical development pipelines, intellectual property… | aipoch/ | 1.9k | — | ~3.3k | Automated safety check: Pass | MIT | 24 days ago |
| 66 | 66.Cobrapy Constraint-based reconstruction and analysis (COBRA) for metabolic models; use when you need to simulate growth/production, analyze flux ranges, or run knockout and medium studies from… | aipoch/ | 1.9k | — | ~3k | Automated safety check: Pass | MIT | 24 days ago |
| 67 | Generates complete dual-disease transcriptomic + machine learning research designs from a user-provided disease pair. | aipoch/ | 1.9k | — | ~3.7k | Automated safety check: Pass | MIT | 24 days ago |
| 68 | A real-time monitoring system for identifying "incubation period" research hotspots in biological and medical sciences before they are defined by mainstream journals. | aipoch/ | 1.9k | — | ~3.5k | Automated safety check: Pass | MIT | 24 days ago |
| 69 | 69.Geniml Machine learning toolkit for genomic interval (BED) data; use it when you need to tokenize BED collections and train embeddings for regions/cells/labels, build consensus peak universes, or run… | aipoch/ | 1.9k | — | ~1.9k | Automated safety check: Pass | MIT | 24 days ago |
| 70 | 70.Geopandas A Python library for reading, writing, and analyzing geospatial vector data; use it when you need spatial operations (buffer/overlay/join), CRS reprojection, or map visualization on formats like… | aipoch/ | 1.9k | — | ~2k | Automated safety check: Pass | MIT | 24 days ago |
| 71 | NIH funding trend analysis to identify high-priority research areas. | aipoch/ | 1.9k | — | ~2k | Automated safety check: Pass | MIT | 24 days ago |
| 72 | Professional beautification tool for gene expression heatmaps, automatically adds clustering trees, color annotation tracks, and intelligently optimizes label layout. | aipoch/ | 1.9k | — | ~3.5k | Automated safety check: Pass | MIT | 24 days ago |
| 73 | 73.Hypogenic Automated LLM-driven hypothesis generation and testing for tabular datasets; use when you need systematic exploration of empirical patterns (e.g., fraud detection, content analysis) and want to… | aipoch/ | 1.9k | — | ~1.6k | Automated safety check: Pass | MIT | 24 days ago |
| 74 | Run immune pathway GSVA or ssGSEA analysis from a bulk expression matrix, a sample group file, and a local immune Reactome gene-set table, then export differential pathway results and a heatmap for… | aipoch/ | 1.9k | — | ~3k | Automated safety check: Pass | MIT | 24 days ago |
| 75 | Filter compound libraries based on Lipinski's Rule of Five for drug-likeness. | aipoch/ | 1.9k | — | ~1.9k | Automated safety check: Pass | MIT | 24 days ago |
| 76 | Analyze data with metagenomic-krona-chart using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~2.5k | Automated safety check: Pass | MIT | 24 days ago |
| 77 | Interpret Alpha and Beta diversity metrics from 16S rRNA sequencing results. | aipoch/ | 1.9k | — | ~2.3k | Automated safety check: Pass | MIT | 24 days ago |
| 78 | Predict neoantigens that may be recognized by the immune system based. | aipoch/ | 1.9k | — | ~3.8k | Automated safety check: Pass | MIT | 24 days ago |
| 79 | 79.Neurokit Comprehensive 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… | aipoch/ | 1.9k | — | ~1.8k | Automated safety check: Pass | MIT | 24 days ago |
| 80 | Analyze data with phylogenetic-tree-styler using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~2.5k | Automated safety check: Pass | MIT | 24 days ago |
| 81 | 81.Plotly Interactive visualization library for Python. An agent skill from aipoch/medical-research-skills. | aipoch/ | 1.9k | — | ~2.7k | Automated safety check: Pass | MIT | 24 days ago |
| 82 | Classify clinical trial protocol deviations as major or minor based on ICH E6/GCP guidelines. | aipoch/ | 1.9k | — | ~3.5k | Automated safety check: Pass | MIT | 24 days ago |
| 83 | Analyze data with pseudotime-trajectory-viz using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~3.8k | Automated safety check: Pass | MIT | 24 days ago |
| 84 | Automated bias assessment for diagnostic accuracy studies using QUADAS-C criteria. | aipoch/ | 1.9k | — | ~1.1k | Automated safety check: Pass | MIT | 24 days ago |
| 85 | Automates publication-quality scientific diagrams (e.g., flowcharts, architectures, pathways) when you need journal/poster-ready visuals from a natural-language description. | aipoch/ | 1.9k | — | ~987 | Automated safety check: Pass | MIT | 24 days ago |
| 86 | 86.Scikit Bio A 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… | aipoch/ | 1.9k | — | ~1.4k | Automated safety check: Pass | MIT | 24 days ago |
| 87 | A 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… | aipoch/ | 1.9k | — | ~1.6k | Automated safety check: Pass | MIT | 24 days ago |
| 88 | 88.Seaborn Statistical 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… | aipoch/ | 1.9k | — | ~2.1k | Automated safety check: Pass | MIT | 24 days ago |
| 89 | A skill for performing sequence alignment using NCBI BLAST API. | aipoch/ | 1.9k | — | ~2.3k | Automated safety check: Pass | MIT | 24 days ago |
| 90 | Analyze data with smiles-de-salter using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~2.6k | Automated safety check: Pass | MIT | 24 days ago |
| 91 | Recommends appropriate statistical methods (T-test vs ANOVA, etc.) based. | aipoch/ | 1.9k | — | ~2.3k | Automated safety check: Pass | MIT | 24 days ago |
| 92 | Analyze data with survival-curve-risk-table using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~4.2k | Automated safety check: Pass | MIT | 24 days ago |
| 93 | Analyze data with toxicity-structure-alert using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~2.6k | Automated safety check: Pass | MIT | 24 days ago |
| 94 | Generates complete two-sample Mendelian randomization (MR) research designs from a user-provided research direction. | aipoch/ | 1.9k | — | ~2.7k | Automated safety check: Pass | MIT | 24 days ago |
| 95 | Analyze data with volcano-plot-labeler using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~2.8k | Automated safety check: Pass | MIT | 24 days ago |
| 96 | Analyze data with adme-property-predictor using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation. | aipoch/ | 1.9k | — | ~7k | Automated safety check: Pass | MIT | 24 days ago |
