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Agent skills
openclaw-skills

Topic: openclaw-skills

1,539 skills in this topic.

bio-phasing-imputation-imputation-qc
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tcell-exhaustion-analysis-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-ribo-seq-ribosome-periodicity Validate Ribo-seq data quality by checking 3-nucleotide periodicity and calculating P-site offsets. Use when assessing library quality or determining read offsets for downstream analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-geo-data
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
cosmic-database Access COSMIC cancer mutation database. Query somatic mutations, Cancer Gene Census, mutational signatures, gene fusions, for cancer research and precision oncology. Requires authentication.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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
bio-variant-calling-joint-calling Joint genotype calling across multiple samples using GATK CombineGVCFs and GenotypeGVCFs. Essential for cohort studies, population genetics, and leveraging VQSR. Use when performing joint genotyping across multiple samples.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
pydicom Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-proteomics-peptide-identification Peptide-spectrum matching and protein identification from MS/MS data. Use when identifying peptides from tandem mass spectra. Covers database searching, spectral library matching, and FDR estimation using target-decoy approaches.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
drug-labels-search Search FDA drug labels with natural language queries. Official drug information, indications, and safety data via Valyu.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
spatial-multiomics
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-read-qc-umi-processing Extract, process, and deduplicate reads using Unique Molecular Identifiers (UMIs) with umi_tools. Use when library prep includes UMIs and accurate molecule counting is needed, such as in single-cell RNA-seq, low-input RNA-seq, or targeted sequencing to distinguish PCR from biological duplicates.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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
bio-experimental-design-batch-design
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
rfdiffusion Generate protein backbones using RFdiffusion, a diffusion-based generative model for de novo protein structure generation. Use this skill when: (1) Designing binder scaffolds for a target protein, (2) Generating novel protein backbones from scratch, (3) Scaffolding functional motifs into new proteins, (4) Specifying hotspot residues for interface design, (5) Creating symmetric oligomers. For sequence design after backbone generation, use proteinmpnn. For structure validation, use alphafold or chai. For QC thresholds, use protein-qc.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
microbiome-cancer-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-crispr-screens-batch-correction Batch effect correction for CRISPR screens. Covers normalization across batches, technical replicate handling, and batch-aware analysis. Use when combining screens from multiple batches or correcting systematic technical variation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
geopandas Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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
tooluniverse-variant-interpretation Systematic clinical variant interpretation from raw variant calls to ACMG-classified recommendations with structural impact analysis. Aggregates evidence from ClinVar, gnomAD, CIViC, UniProt, and PDB across ACMG criteria. Produces pathogenicity scores (0-100), clinical recommendations, and treatment implications. Use when interpreting genetic variants, classifying variants of uncertain significance (VUS), performing ACMG variant classification, or translating variant calls to clinical actionability.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
agentd-drug-discovery
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
dask Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-assembly-long-read-assembly
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-research-tools-biomarker-signature-studio
FreedomIntelligence/OpenClaw-Medical-Skills 2,009