Topic: skills
17,247 skills in this topic.
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research-literature
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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gene-panel-design-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-motif-search
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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organoid-drug-response-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-write-sequences
Write biological sequences to files (FASTA, FASTQ, GenBank, EMBL) using Biopython Bio.SeqIO. Use when saving sequences, creating new sequence files, or outputting modified records.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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nonlinear-solvers
Select and configure nonlinear solvers for f(x)=0 or min F(x). Use for Newton methods, quasi-Newton (BFGS, L-BFGS), Broyden, Anderson acceleration, diagnosing convergence issues, choosing line search vs trust region, and analyzing Jacobian quality.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tooluniverse-structural-variant-analysis
Comprehensive structural variant (SV) analysis skill for clinical genomics. Classifies SVs (deletions, duplications, inversions, translocations), assesses pathogenicity using ACMG-adapted criteria, evaluates gene disruption and dosage sensitivity, and provides clinical interpretation with evidence grading. Use when analyzing CNVs, large deletions/duplications, chromosomal rearrangements, or any structural variants requiring clinical interpretation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-metabolomics-pathway-mapping
Map metabolites to biological pathways using KEGG, Reactome, and MetaboAnalyst. Perform pathway enrichment and topology analysis. Use when interpreting metabolomics results in the context of biochemical pathways.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-tcr-bcr-analysis-mixcr-analysis
Perform V(D)J alignment and clonotype assembly from TCR-seq or BCR-seq data using MiXCR. Use when processing raw immune repertoire sequencing data to identify clonotypes and their frequencies.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-variant-calling-deepvariant
Deep learning-based variant calling with Google DeepVariant. Provides high accuracy for germline SNPs and indels from Illumina, PacBio, and ONT data. Use when calling variants with DeepVariant deep learning caller.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-data-visualization-circos-plots
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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sleep-analyzer
分析睡眠数据、识别睡眠模式、评估睡眠质量，并提供个性化睡眠改善建议。支持与其他健康数据的关联分析。
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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arxiv-search
Search arXiv physics, math, and computer science preprints using natural language queries. Powered by Valyu semantic search.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-clinical-databases-pharmacogenomics
Query PharmGKB and CPIC for drug-gene interactions, pharmacogenomic annotations, and dosing guidelines. Use when predicting drug response from genetic variants or implementing clinical pharmacogenomics.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflows-gwas-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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vcf-annotator
Annotate VCF variants with VEP, ClinVar, gnomAD frequencies, and ancestry-aware context. Generates prioritised variant reports.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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single-cell-rna-qc
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-alignment-msa-statistics
Calculate alignment statistics including sequence identity, conservation scores, substitution matrices, and similarity metrics. Use when comparing alignment quality, measuring sequence divergence, and analyzing evolutionary patterns.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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geniml
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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chemist-analyst
Analyzes events through chemistry lens using molecular structure, reaction mechanisms, thermodynamics,
kinetics, and analytical techniques (spectroscopy, chromatography, mass spectrometry).
Provides insights on chemical processes, material properties, reaction pathways, synthesis, and analytical methods.
Use when: Chemical reactions, material analysis, synthesis planning, process optimization, environmental chemistry.
Evaluates: Molecular structure, reaction mechanisms, yield, selectivity, safety, environmental impact.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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biokernel
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-ribo-seq-riboseq-preprocessing
Preprocess ribosome profiling data including adapter trimming, size selection, rRNA removal, and alignment. Use when preparing Ribo-seq reads for downstream analysis of translation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-spatial-transcriptomics-spatial-communication
Analyze cell-cell communication in spatial transcriptomics data using ligand-receptor analysis with Squidpy. Infer intercellular signaling, identify communication pathways, and visualize interaction networks. Use when analyzing cell-cell communication in spatial context.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009