Topic: openclaw
3,425 skills in this topic.
-
single-cell-multi-omics-integration
Quick-reference sheet for OmicVerse tutorials spanning MOFA, GLUE pairing, SIMBA integration, TOSICA transfer, and StaVIA cartography.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-genome-intervals-proximity-operations
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-alignment-io
Read, write, and convert multiple sequence alignment files using Biopython Bio.AlignIO. Supports Clustal, PHYLIP, Stockholm, FASTA, Nexus, and other alignment formats for phylogenetics and conservation analysis. Use when reading, writing, or converting alignment file formats.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
metabolomics-workbench-database
Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
medea-therapeutic-discovery
An AI agent for therapeutic discovery that executes transparent, multi-step omics analyses including research planning, code execution, and literature reasoning.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-imaging-mass-cytometry-spatial-analysis
Spatial analysis of cell neighborhoods and interactions in IMC data. Covers neighbor graphs, spatial statistics, and interaction testing. Use when analyzing spatial relationships between cell types, testing for neighborhood enrichment, or identifying cell-cell interaction patterns in imaging mass cytometry data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-data-visualization-circos-plots
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
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
-
biomni-research-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
drug-interaction-checker
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
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
-
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
-
bio-long-read-sequencing-isoseq-analysis
Analyze PacBio Iso-Seq data for full-length isoform discovery and quantification. Use when characterizing transcript diversity or identifying novel splice variants.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-longread-qc
Quality control for long-read sequencing data using NanoPlot, NanoStat, and chopper. Generate QC reports, filter reads by length and quality, and visualize read characteristics. Use when assessing ONT or PacBio run quality or filtering reads before assembly or alignment.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-metabolomics-msdial-preprocessing
MS-DIAL-based metabolomics preprocessing as alternative to XCMS. Covers peak detection, alignment, annotation, and export for downstream analysis. Use when processing MS-DIAL output files for R/Python analysis or when preferring GUI-based preprocessing.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-paired-end-fastq
Handle paired-end FASTQ files (R1/R2) using Biopython. Use when working with Illumina paired reads, synchronizing pairs, interleaving/deinterleaving, or filtering paired data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
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
-
bio-proteomics-differential-abundance
Statistical testing for differentially abundant proteins between conditions. Covers limma and MSstats workflows with multiple testing correction. Use when identifying proteins with significant abundance changes between experimental groups.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-sam-bam-basics
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-spatial-transcriptomics-spatial-deconvolution
Estimate cell type composition in spatial transcriptomics spots using reference-based deconvolution. Use cell2location, RCTD, SPOTlight, or Tangram to infer cell type proportions from scRNA-seq references. Use when estimating cell type composition in spatial spots.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-read-alignment-bwa-alignment
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
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
-
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
-
bio-workflows-gwas-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009