Topic: openclaw
3,425 skills in this topic.
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bio-splicing-quantification
Quantifies alternative splicing events (PSI/percent spliced in) from RNA-seq using SUPPA2 from transcript TPM or rMATS-turbo from BAM files. Calculates inclusion levels for skipped exons, alternative splice sites, mutually exclusive exons, and retained introns. Use when measuring splice site usage or isoform ratios from RNA-seq data.
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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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
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alphafold
Validate protein designs using AlphaFold2 structure prediction. Use this skill when: (1) Validating designed sequences fold correctly, (2) Predicting binder-target complex structures, (3) Calculating confidence metrics (pLDDT, pTM, ipTM), (4) Self-consistency validation of designs, (5) Multi-chain complex prediction with AlphaFold-Multimer.
For faster single-chain prediction, use esm. For QC thresholds, use protein-qc.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-spatial-transcriptomics-spatial-neighbors
Build spatial neighbor graphs for spatial transcriptomics data using Squidpy. Compute k-nearest neighbors, Delaunay triangulation, and radius-based connectivity for downstream spatial analyses. Use when building spatial neighborhood graphs.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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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
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spatial-visualization
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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dnanexus-integration
DNAnexus cloud genomics platform. Build apps/applets, manage data (upload/download), dxpy Python SDK, run workflows, FASTQ/BAM/VCF, for genomics pipeline development and execution.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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simulation-orchestrator
Orchestrate multi-simulation campaigns including parameter sweeps, batch jobs, and result aggregation. Use for running parameter studies, managing simulation batches, tracking job status, combining results from multiple runs, or automating simulation workflows.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-longitudinal-monitoring
Tracks ctDNA dynamics over time for treatment response monitoring using serial liquid biopsy samples. Analyzes tumor fraction trends, mutation clearance kinetics, and defines molecular response criteria. Use when monitoring patients during therapy or detecting molecular relapse before clinical progression.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-chipseq-differential-binding
Differential binding analysis using DiffBind. Compare ChIP-seq peaks between conditions with statistical rigor. Requires replicate samples. Outputs differentially bound regions with fold changes and p-values. Use when comparing ChIP-seq binding between conditions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-immunoinformatics-neoantigen-prediction
Identify tumor neoantigens from somatic mutations using pVACtools for personalized cancer immunotherapy. Predict mutant peptides that bind patient HLA and may elicit T-cell responses. Use when identifying vaccine targets or checkpoint inhibitor response biomarkers from tumor sequencing data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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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
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bio-genome-assembly-long-read-assembly
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-read-alignment-star-alignment
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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biomni-general-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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docx
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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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
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bio-clip-seq-clip-preprocessing
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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string-protein-interaction-analysis-with-omicverse
Help Claude query STRING for protein interactions, build PPI graphs with pyPPI, and render styled network figures for bulk gene lists.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-geo-data
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-alignment-sorting
FreedomIntelligence/OpenClaw-Medical-Skills 2,009