Topic: openclaw
3,425 skills in this topic.
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bio-workflows-metagenomics-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-clinical-databases-hla-typing
Call HLA alleles from NGS data using OptiType, HLA-HD, or arcasHLA for immunogenomics applications. Use when determining HLA genotype for transplant matching, neoantigen prediction, or pharmacogenomic screening.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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spatial-data-io
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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scikit-learn
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-long-read-sequencing-clair3-variants
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 2,009
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histolab
Digital pathology image processing toolkit for whole slide images (WSI). Use this skill when working with histopathology slides, processing H&E or IHC stained tissue images, extracting tiles from gigapixel pathology images, detecting tissue regions, segmenting tissue masks, or preparing datasets for computational pathology deep learning pipelines. Applies to WSI formats (SVS, TIFF, NDPI), tile-based analysis, and histological image preprocessing workflows.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-data-visualization-heatmaps-clustering
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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SpatialAgent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-pathway-enrichment-visualization
Visualize enrichment results using enrichplot package functions. Use when creating publication-quality figures from clusterProfiler results. Covers dotplot, barplot, cnetplot, emapplot, gseaplot2, ridgeplot, and treeplot.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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mesh-generation
Plan and evaluate mesh generation for numerical simulations. Use when choosing grid resolution, checking aspect ratios/skewness, estimating mesh quality constraints, or planning adaptive mesh refinement for PDE discretization.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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diffdock
Diffusion-based molecular docking. Predict protein-ligand binding poses from PDB/SMILES, confidence scores, virtual screening, for structure-based drug design. Not for affinity prediction.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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simpy
Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics, or any system where entities interact with shared resources over time.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-ribo-seq-orf-detection
Detect and quantify translated ORFs from Ribo-seq data including uORFs and novel ORFs using RiboCode and ORFquant. Use when identifying translated regions beyond annotated coding sequences or quantifying ORF-level translation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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datacommons-client
Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity resolution, and exploring relationships between statistical entities.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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research-grants
Write competitive research proposals for NSF, NIH, DOE, and DARPA. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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pytdc
Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological prediction.
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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tooluniverse-sequence-retrieval
Retrieves biological sequences (DNA, RNA, protein) from NCBI and ENA with gene disambiguation, accession type handling, and comprehensive sequence profiles. Creates detailed reports with sequence metadata, cross-database references, and download options. Use when users need nucleotide sequences, protein sequences, genome data, or mention GenBank, RefSeq, EMBL accessions.
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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agentd-drug-discovery
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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pan-cancer-multiomics-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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transformers
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-causal-genomics-colocalization-analysis
Test whether two traits share a causal variant at a genomic locus using Bayesian colocalization with coloc. Computes posterior probabilities for shared vs distinct causal variants between GWAS and eQTL signals. Use when determining if a GWAS signal and an eQTL share the same causal variant.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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struct-predictor
Local protein structure prediction with AlphaFold, Boltz, or Chai. Compare predicted structures, compute RMSD, visualise 3D models.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009