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Topic: skills

17,247 skills in this topic.

bio-epidemiological-genomics-transmission-inference Infer pathogen transmission networks and identify likely transmission pairs using TransPhylo and outbreak reconstruction algorithms. Estimate who-infected-whom from genomic and epidemiological data. Use when investigating outbreak transmission chains or identifying superspreaders.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-admet-prediction Predicts ADMET properties using ADMETlab 3.0 API or DeepChem models. Estimates bioavailability, CYP inhibition, hERG liability, and 119 toxicity endpoints with uncertainty quantification. Filters for PAINS and other structural alerts. Use when filtering compounds for drug-likeness or prioritizing leads by predicted safety.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-sra-data
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-workflows-spatial-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-spatial-transcriptomics-image-analysis Process and analyze tissue images from spatial transcriptomics data using Squidpy. Extract image features, segment cells/nuclei, and compute morphological features from H&E or IF images. Use when processing tissue images for spatial transcriptomics.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-long-read-sequencing-nanopore-methylation 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 2,009
bio-causal-genomics-fine-mapping Identify likely causal variants within GWAS loci using SuSiE for sum of single effects regression and FINEMAP for shotgun stochastic search. Computes posterior inclusion probabilities and credible sets to prioritize variants for functional follow-up. Use when narrowing GWAS association signals to candidate causal variants or building credible sets for functional validation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
esm Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-causal-genomics-mendelian-randomization Estimate causal effects between exposures and outcomes using genetic variants as instrumental variables with TwoSampleMR. Implements IVW, MR-Egger, weighted median, and MR-PRESSO methods for robust causal inference from GWAS summary statistics. Use when testing whether an exposure causally affects an outcome using genetic instruments.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-spatial-transcriptomics-spatial-preprocessing Quality control, filtering, normalization, and feature selection for spatial transcriptomics data. Calculate QC metrics, filter spots/cells, normalize counts, and identify highly variable genes. Use when filtering and normalizing spatial transcriptomics data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-workflows-neoantigen-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-clinical-databases-variant-prioritization Filter and prioritize variants by pathogenicity, population frequency, and clinical evidence for rare disease analysis. Use when identifying candidate disease-causing variants from exome or genome sequencing.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-microbiome-diversity-analysis Alpha and beta diversity analysis for microbiome data. Calculate within-sample richness, evenness, and between-sample dissimilarity with phyloseq and vegan. Use when comparing community composition across samples or testing for group differences in microbiome structure.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-tumor-fraction-estimation Estimates circulating tumor DNA fraction from shallow whole-genome sequencing using ichorCNA. Detects copy number alterations via HMM segmentation and calculates ctDNA percentage. Requires 0.1-1x sWGS coverage. Use when quantifying tumor burden from liquid biopsy or monitoring treatment response.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-engineering-off-target-prediction Predict CRISPR off-target sites using Cas-OFFinder and CFD scoring algorithms. Identify potential unintended cleavage sites genome-wide and assess guide specificity. Use when evaluating guide RNA specificity or selecting guides with minimal off-target risk.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-engineering-grna-design Design guide RNAs for CRISPR-Cas9/Cas12a experiments using CRISPRscan and local scoring algorithms. Score guides for on-target activity using Rule Set 2 and Azimuth models. Use when designing sgRNAs for gene knockout, activation, or repression experiments.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
gsea-enrichment-analysis Gene set enrichment analysis with correct geneset format handling. Critical guidance for loading pathway databases and running enrichment in OmicVerse.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
cell-free-expression Guidance for cell-free protein synthesis (CFPS) optimization. Use when: (1) Planning CFPS experiments, (2) Troubleshooting low yield or aggregation, (3) Optimizing DNA template design for CFPS, (4) Expressing difficult proteins (disulfide-rich, toxic, membrane).
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-intervals-interval-arithmetic
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
jungian-psychologist Expert in Jungian analytical psychology, depth psychology, shadow work, archetypal analysis, dream interpretation, active imagination, addiction/recovery through Jungian lens, and the individuation process - grounded in primary sources and clinical frameworks. Activate on 'Jung', 'Jungian', 'shadow work', 'archetypes', 'dream interpretation', 'active imagination', 'individuation', 'anima', 'animus', 'collective unconscious', 'addiction', 'recovery', 'spiritus contra spiritum'. NOT for therapy or diagnosis (only licensed analysts diagnose), active psychosis, severe dissociation, or replacing the relational container of actual Jungian analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-clip-seq-clip-motif-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-population-genetics-scikit-allel-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-single-cell-preprocessing Quality control, filtering, and normalization for single-cell RNA-seq using Seurat (R) and Scanpy (Python). Use for calculating QC metrics, filtering cells and genes, normalizing counts, identifying highly variable genes, and scaling data. Use when filtering, normalizing, and selecting features in single-cell data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-metabolomics-lipidomics Specialized lipidomics analysis for lipid identification, quantification, and pathway interpretation. Covers LC-MS lipidomics with LipidSearch, MS-DIAL, and LipidMaps annotation. Use when analyzing lipid classes, chain composition, or lipid-specific pathways.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009