Topic: skills
17,247 skills in this topic.
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bio-workflows-riboseq-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-pdb-structure-io
Parse and write protein structure files using Biopython Bio.PDB. Use when reading PDB, mmCIF, and MMTF files, downloading structures from RCSB PDB, or writing structures to various formats.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tooluniverse-gwas-snp-interpretation
Interpret genetic variants (SNPs) from GWAS studies by aggregating evidence from multiple databases (GWAS Catalog, Open Targets Genetics, ClinVar). Retrieves variant annotations, GWAS trait associations, fine-mapping evidence, locus-to-gene predictions, and clinical significance. Use when asked to interpret a SNP by rsID, find disease associations for a variant, assess clinical significance, or answer questions like "What diseases is rs429358 associated with?" or "Interpret rs7903146".
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-metabolomics-targeted-analysis
Targeted metabolomics analysis using MRM/SRM with standard curves. Covers absolute quantification, method validation, and quality assessment. Use when quantifying specific metabolites using calibration curves and internal standards.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-single-cell-lineage-tracing
Reconstruct cell lineage trees from CRISPR barcode tracing or mitochondrial mutations. Use when studying clonal dynamics, cell fate decisions, or developmental trajectories.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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labstep
Interact with the Labstep electronic lab notebook API using labstepPy. Query experiments, protocols, resources, inventory, and other lab entities.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-multi-omics-mofa-integration
Multi-Omics Factor Analysis (MOFA2) for unsupervised integration of multiple data modalities. Identifies shared and view-specific sources of variation. Use when integrating RNA-seq, proteomics, methylation, or other omics to discover latent factors driving biological variation across modalities.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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ligandmpnn
Ligand-aware protein sequence design using LigandMPNN. Use this skill when: (1) Designing sequences around small molecules, (2) Enzyme active site design, (3) Ligand binding pocket optimization, (4) Metal coordination site design, (5) Cofactor binding proteins.
For standard protein design, use proteinmpnn. For solubility optimization, use solublempnn.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflows-scrnaseq-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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ctdna-dynamics-mrd-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-variant-calling-clinical-interpretation
Clinical variant interpretation using ClinVar, ACMG guidelines, and pathogenicity predictors. Prioritize variants for diagnostic and research applications. Use when interpreting clinical significance of variants.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tooluniverse-antibody-engineering
Comprehensive antibody engineering and optimization for therapeutic development. Covers humanization, affinity maturation, developability assessment, and immunogenicity prediction. Use when asked to optimize antibodies, humanize sequences, or engineer therapeutic antibodies from lead to clinical candidate.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-experimental-design-multiple-testing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bulk-rna-seq-batch-correction-with-combat
Use omicverse's pyComBat wrapper to remove batch effects from merged bulk RNA-seq or microarray cohorts, export corrected matrices, and benchmark pre/post correction visualisations.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-single-cell-trajectory-inference
Infer developmental trajectories and pseudotime from single-cell RNA-seq data using Monocle3, Slingshot, and scVelo for RNA velocity analysis. Use when inferring developmental trajectories or pseudotime.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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MAGE
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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chai
Structure prediction using Chai-1, a foundation model for molecular structure. Use this skill when: (1) Predicting protein-protein complex structures, (2) Validating designed binders, (3) Predicting protein-ligand complexes, (4) Using the Chai API for high-throughput prediction, (5) Need an alternative to AlphaFold2.
For QC thresholds, use protein-qc. For AlphaFold2 prediction, use alphafold. For ESM-based analysis, use esm.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-imaging-mass-cytometry-quality-metrics
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 2,009
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drug-discovery-search
End-to-end drug discovery platform combining ChEMBL compounds, DrugBank, targets, and FDA labels. Natural language powered by Valyu.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-phylo-distance-calculations
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-read-alignment-hisat2-alignment
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-phasing-imputation-haplotype-phasing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-systems-biology-gene-essentiality
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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crispr-offtarget-predictor
FreedomIntelligence/OpenClaw-Medical-Skills 2,009