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Topic: openclaw

3,425 skills in this topic.

clinical-decision-support Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-clip-seq-clip-peak-calling
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-clip-seq-clip-alignment
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-clip-seq-clip-motif-analysis
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
bio-bedgraph-handling
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-alignment-msa-parsing Parse and analyze multiple sequence alignments using Biopython. Extract sequences, identify conserved regions, analyze gaps, work with annotations, and manipulate alignment data for downstream analysis. Use when parsing or manipulating multiple sequence alignments.
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
aeon This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
alphafold-database Access AlphaFold's 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.
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-cfdna-preprocessing Preprocesses cell-free DNA sequencing data including adapter trimming, alignment optimized for short fragments, and UMI-aware duplicate removal using fgbio. Applies cfDNA-specific quality thresholds and fragment length filtering. Use when processing plasma cfDNA sequencing data before downstream analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-causal-genomics-pleiotropy-detection Detect and correct for horizontal pleiotropy in Mendelian randomization analyses using MR-PRESSO for outlier removal, MR-Egger regression for directional pleiotropy, and Steiger filtering for variant directionality. Use when validating MR results, detecting pleiotropic instruments, or running sensitivity analyses for causal inference.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
arboreto Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
armored-cart-design-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-clinical-databases-tumor-mutational-burden Calculate tumor mutational burden from panel or WES data with proper normalization and clinical thresholds. Use when assessing immunotherapy eligibility or characterizing tumor immunogenicity.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-comparative-genomics-ancestral-reconstruction
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-crispr-screens-crispresso-editing CRISPResso2 for analyzing CRISPR gene editing outcomes. Quantifies indels, HDR efficiency, and generates comprehensive editing reports. Use when analyzing amplicon sequencing data from CRISPR editing experiments to assess editing efficiency.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-compressed-files Read and write compressed sequence files (gzip, bzip2, BGZF) using Biopython. Use when working with .gz or .bz2 sequence files. Use BGZF for indexable compressed files.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-comparative-genomics-positive-selection
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
bgpt-paper-search Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bayesian-optimizer
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-chipseq-qc ChIP-seq quality control metrics including FRiP (Fraction of Reads in Peaks), cross-correlation analysis (NSC/RSC), library complexity, and IDR (Irreproducibility Discovery Rate) for replicate concordance. Use to assess experiment quality before downstream analysis. Use when assessing ChIP-seq data quality metrics.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009