The largest open-source medical AI skills library for OpenClaw🦞.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Load, convert, and manipulate Hi-C contact matrices using cooler format. Read .cool/.mcool files, convert from .hic format, access matrix data, and export to different formats. Use when loading or converting Hi-C contact matrices.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Compare Hi-C contact matrices between conditions to identify differential chromatin interactions. Compute log2 fold changes, statistical significance, and visualize differential contact maps. Use when comparing Hi-C contacts between conditions.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Visualize Hi-C contact matrices, TADs, loops, and genomic features using matplotlib, cooltools, and HiCExplorer. Create triangle plots, virtual 4C, and multi-track figures. Use when visualizing contact matrices or genomic features.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Detect chromatin loops and point interactions from Hi-C data using cooltools, chromosight, and HiCCUPS-like methods. Identify CTCF-mediated loops and enhancer-promoter contacts. Use when detecting chromatin loops from Hi-C data.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Balance, normalize, and transform Hi-C contact matrices using cooler and cooltools. Apply iterative correction (ICE), compute expected values, and generate observed/expected matrices. Use when normalizing or transforming Hi-C matrices.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Call topologically associating domains (TADs) from Hi-C data using insulation score, HiCExplorer, and other methods. Identify domain boundaries and hierarchical domain structure. Use when calling TADs from Hi-C insulation scores.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Cell segmentation from multiplexed tissue images. Covers deep learning (Cellpose, Mesmer) and classical approaches for nuclear and whole-cell segmentation. Use when extracting single-cell data from IMC or MIBI images after preprocessing.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Load and preprocess imaging mass cytometry (IMC) and MIBI data. Covers MCD/TIFF handling, hot pixel removal, and image normalization. Use when starting IMC analysis from raw MCD files or preparing images for segmentation.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Interactive cell type annotation for IMC data. Covers napari-based annotation, marker-guided labeling, training data generation, and annotation validation. Use when manually annotating cell types for training classifiers or validating automated phenotyping results.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Cell type assignment from marker expression in IMC data. Covers manual gating, clustering, and automated classification approaches. Use when assigning cell types to segmented IMC cells based on protein marker expression or when phenotyping cells in multiplexed imaging data.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Quality metrics for IMC data including signal-to-noise, channel correlation, tissue integrity, and acquisition QC. Use when assessing data quality before analysis or troubleshooting problematic acquisitions.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Spatial analysis of cell neighborhoods and interactions in IMC data. Covers neighbor graphs, spatial statistics, and interaction testing. Use when analyzing spatial relationships between cell types, testing for neighborhood enrichment, or identifying cell-cell interaction patterns in imaging mass cytometry data.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Predict B-cell and T-cell epitopes using BepiPred, IEDB tools, and structure-based methods for vaccine and antibody design. Identify immunogenic regions in antigens. Use when designing vaccines, mapping antibody binding sites, or predicting immunogenic peptides.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Score and prioritize neoantigens and epitopes for immunogenicity using multi-factor models combining MHC binding, processing, expression, and sequence features. Rank candidates for vaccine design. Use when prioritizing epitopes for vaccine development or identifying the most immunogenic neoantigens.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Predict peptide-MHC class I and II binding affinity using MHCflurry and NetMHCpan neural network models. Identify potential T-cell epitopes from protein sequences. Use when predicting MHC binding for vaccine design or neoantigen identification.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Identify tumor neoantigens from somatic mutations using pVACtools for personalized cancer immunotherapy. Predict mutant peptides that bind patient HLA and may elicit T-cell responses. Use when identifying vaccine targets or checkpoint inhibitor response biomarkers from tumor sequencing data.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Predict TCR-epitope specificity using ERGO-II and deep learning models for T-cell receptor antigen recognition. Match TCRs to their cognate epitopes or predict TCR targets. Use when analyzing TCR repertoire specificity or identifying antigen-reactive T-cells.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Analyzes isoform switching events and functional consequences using IsoformSwitchAnalyzeR. Predicts protein domain changes, NMD sensitivity, ORF alterations, and coding potential shifts between conditions. Use when investigating how splicing changes affect protein function.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Skill "bio-liquid-biopsy-pipeline" from FreedomIntelligence/OpenClaw-Medical-Skills, covering copyright notice, copyright (c) 2026 md babu mia, phd, all rights reserved, this code is proprietary and confidential and provenance: authenticated by md babu mia.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Skill "bio-local-blast" from FreedomIntelligence/OpenClaw-Medical-Skills, covering copyright notice, copyright (c) 2026 md babu mia, phd, all rights reserved, this code is proprietary and confidential and provenance: authenticated by md babu mia.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Deep learning-based variant calling from long reads using Clair3 for SNPs and small indels. Use when calling germline variants from ONT or PacBio alignments, particularly when high accuracy is needed for clinical or research applications.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Analyze PacBio Iso-Seq data for full-length isoform discovery and quantification. Use when characterizing transcript diversity or identifying novel splice variants.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Calls DNA methylation from Oxford Nanopore sequencing data using signal-level analysis. Use when detecting 5mC or 6mA modifications directly from nanopore reads without bisulfite conversion.
FreedomIntelligence/OpenClaw-Medical-Skills
Skill Claude CodeCodex
Tracks ctDNA dynamics over time for treatment response monitoring using serial liquid biopsy samples. Analyzes tumor fraction trends, mutation clearance kinetics, and defines molecular response criteria. Use when monitoring patients during therapy or detecting molecular relapse before clinical progression.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: