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-crispr-screens-mageck-analysis
MAGeCK (Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout) for pooled CRISPR screen analysis. Covers count normalization, gene ranking, and pathway analysis. Use when identifying essential genes, drug targets, or resistance mechanisms from dropout or enrichment screens.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
pharmgx-reporter
Pharmacogenomic report from DTC genetic data (23andMe/AncestryDNA) — 12 genes, 31 SNPs, 51 drugs
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
exploratory-data-analysis
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
research-lookup
Look up current research information using Perplexity's Sonar Pro Search or Sonar Reasoning Pro models through OpenRouter. Automatically selects the best model based on query complexity. Search academic papers, recent studies, technical documentation, and general research information with citations.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
biomni-research-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-expression-matrix-sparse-handling
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
-
scientific-schematics
Create publication-quality scientific diagrams using Nano Banana 2 AI with smart iterative refinement. Uses Gemini 3.1 Pro Preview for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
drug-interaction-checker
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
biokernel
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
chatehr-clinician-assistant
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