Topic: openclaw
3,425 skills in this topic.
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bio-format-conversion
Convert between sequence file formats (FASTA, FASTQ, GenBank, EMBL) using Biopython Bio.SeqIO. Use when changing file formats or preparing data for different tools.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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wikipedia-search
Search and fetch structured content from Wikipedia using the MediaWiki API for reliable, encyclopedic information
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-reporting-rmarkdown-reports
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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writing-skills
Use when creating new skills, editing existing skills, or verifying skills work before deployment
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-tcr-bcr-analysis-scirpy-analysis
Analyze single-cell TCR and BCR data integrated with gene expression using scirpy. Use when working with 10x Genomics VDJ data alongside scRNA-seq or when integrating immune receptor information with cell state analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflows-genome-assembly-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tooluniverse-clinical-guidelines
Search and retrieve clinical practice guidelines across 12+ authoritative sources including NICE, WHO, ADA, AHA/ACC, NCCN, SIGN, CPIC, CMA, CTFPHC, GIN, MAGICapp, PubMed, EuropePMC, TRIP, and OpenAlex. Covers disease management, cardiology, oncology, diabetes, pharmacogenomics, and more. Use when users ask about clinical guidelines, treatment recommendations, standard of care, evidence-based medicine, or drug-gene dosing recommendations.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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cellxgene-census
Query CZ CELLxGENE Census (61M+ cells). Filter by cell type/tissue/disease, retrieve expression data, integrate with scanpy/PyTorch, for population-scale single-cell analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tcm-constitution-analyzer
分析中医体质数据、识别体质类型、评估体质特征,并提供个性化养生建议。支持与营养、运动、睡眠等健康数据的关联分析。
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-hi-c-analysis-tad-detection
Call topologically associating domains (TADs) from Hi-C data using insulation score, HiCExplorer, and other methods. Identify domain boundaries and hierarchical domain structure. Use when calling TADs from Hi-C insulation scores.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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antibody-design-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-imaging-mass-cytometry-quality-metrics
Quality metrics for IMC data including signal-to-noise, channel correlation, tissue integrity, and acquisition QC. Use when assessing data quality before analysis or troubleshooting problematic acquisitions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-epitranscriptomics-m6anet-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bioinformatics-singlecell
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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compbioagent-explorer
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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chemical-property-lookup
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-variant-calling-clinical-interpretation
Clinical variant interpretation using ClinVar, ACMG guidelines, and pathogenicity predictors. Prioritize variants for diagnostic and research applications. Use when interpreting clinical significance of variants.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-pathway-wikipathways
WikiPathways enrichment using clusterProfiler and rWikiPathways. Use when analyzing gene lists against community-curated open-source pathways. Performs over-representation analysis and GSEA for 30+ species.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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executing-plans
Use when you have a written implementation plan to execute in a separate session with review checkpoints
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-phasing-imputation-reference-panels
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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lamindb
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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depmap
Query the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores (CRISPR Chronos), drug sensitivity data, and gene effect profiles. Use for identifying cancer-specific vulnerabilities, synthetic lethal interactions, and validating oncology drug targets.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-flow-cytometry-cytometry-qc
Comprehensive quality control for flow cytometry and CyTOF data. Covers flow rate stability, signal drift, margin events, dead cell exclusion, and batch QC. Use when assessing acquisition quality or identifying problematic samples before analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflows-riboseq-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009