Topic: awesome
1,258 skills in this topic.
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medical-entity-extractor
Extract medical entities (symptoms, medications, lab values, diagnoses) from patient messages.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-copy-number-cnv-annotation
Annotate CNVs with genes, pathways, and clinical significance. Use when interpreting CNV calls or identifying affected genes from copy number analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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statistical-analysis
Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-entrez-search
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-clinical-databases-polygenic-risk
Calculate polygenic risk scores using PRSice-2, LDpred2, or PRS-CS from GWAS summary statistics. Use when predicting disease risk from genome-wide genetic variants.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-single-cell-multimodal-integration
Analyze multi-modal single-cell data (CITE-seq, Multiome, spatial). Use when working with data that measures multiple modalities per cell like RNA + protein or RNA + ATAC. Use when analyzing CITE-seq, Multiome, or other multi-modal single-cell data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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single-trajectory-analysis
Guide to reproducing OmicVerse trajectory workflows spanning PAGA, Palantir, VIA, velocity coupling, and fate scoring notebooks.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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torchdrug
Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets, for PyTorch-based ML on molecules, proteins, and biomedical graphs.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-epidemiological-genomics-variant-surveillance
Assign pathogen lineages and track variants using Nextclade and pangolin for viral surveillance. Monitor variant prevalence and identify emerging variants of concern. Use when classifying viral sequences, tracking lineage dynamics, or monitoring for variants of concern.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-data-visualization-genome-tracks
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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spatial-proteomics
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-chipseq-differential-binding
Differential binding analysis using DiffBind. Compare ChIP-seq peaks between conditions with statistical rigor. Requires replicate samples. Outputs differentially bound regions with fold changes and p-values. Use when comparing ChIP-seq binding between conditions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-atac-seq-atac-qc
Quality control metrics for ATAC-seq data including fragment size distribution, TSS enrichment, FRiP, and library complexity. Use when assessing ATAC-seq library quality before or after peak calling to identify problematic samples.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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string-protein-interaction-analysis-with-omicverse
Help Claude query STRING for protein interactions, build PPI graphs with pyPPI, and render styled network figures for bulk gene lists.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-genome-assembly-long-read-assembly
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-systems-biology-model-curation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-alignment-sorting
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-genome-engineering-base-editing-design
Design guides for cytosine and adenine base editing using editing window optimization and BE-Hive outcome prediction. Select optimal positions for C-to-T or A-to-G conversions without double-strand breaks. Use when designing base editor experiments for precise nucleotide changes.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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adaptyv
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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spatial-neighbors
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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chromosomal-instability-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-splicing-quantification
Quantifies alternative splicing events (PSI/percent spliced in) from RNA-seq using SUPPA2 from transcript TPM or rMATS-turbo from BAM files. Calculates inclusion levels for skipped exons, alternative splice sites, mutually exclusive exons, and retained introns. Use when measuring splice site usage or isoform ratios from RNA-seq data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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pdx-model-analysis-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bioservices
Primary Python tool for 40+ bioinformatics services. Preferred for multi-database workflows: UniProt, KEGG, ChEMBL, PubChem, Reactome, QuickGO. Unified API for queries, ID mapping, pathway analysis. For direct REST control, use individual database skills (uniprot-database, kegg-database).
FreedomIntelligence/OpenClaw-Medical-Skills 2,009