Topic: openclaw
3,425 skills in this topic.
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drug-discovery-search
End-to-end drug discovery platform combining ChEMBL compounds, DrugBank, targets, and FDA labels. Natural language powered by Valyu.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-phylo-distance-calculations
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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antibody-design-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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clinical-decision-support
Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflows-riboseq-pipeline
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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ctdna-dynamics-mrd-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-comparative-genomics-ortholog-inference
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-blast-searches
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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bulk-wgcna-analysis-with-omicverse
Assist Claude in running PyWGCNA through omicverse—preprocessing expression matrices, constructing co-expression modules, visualising eigengenes, and extracting hub genes.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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monarch-database
Query the Monarch Initiative knowledge graph for disease-gene-phenotype associations across species. Integrates OMIM, ORPHANET, HPO, ClinVar, and model organism databases. Use for rare disease gene discovery, phenotype-to-gene mapping, cross-species disease modeling, and HPO term lookup.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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pptx-posters
Create research posters using HTML/CSS that can be exported to PDF or PPTX. Use this skill ONLY when the user explicitly requests PowerPoint/PPTX poster format. For standard research posters, use latex-posters instead. This skill provides modern web-based poster design with responsive layouts and easy visual integration.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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pdf
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
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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binder-design
Guidance for choosing the right protein binder design tool. Use this skill when: (1) Deciding between BoltzGen, BindCraft, or RFdiffusion, (2) Planning a binder design campaign, (3) Understanding trade-offs between different approaches, (4) Selecting tools for specific target types.
For specific tool parameters, use the individual tool skills (boltzgen, bindcraft, rfdiffusion, etc.).
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-fastq-quality
Work with FASTQ quality scores using Biopython. Use when analyzing read quality, filtering by quality, trimming low-quality bases, or generating quality reports.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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writing-plans
Use when you have a spec or requirements for a multi-step task, before touching code
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-single-cell-trajectory-inference
Infer developmental trajectories and pseudotime from single-cell RNA-seq data using Monocle3, Slingshot, and scVelo for RNA velocity analysis. Use when inferring developmental trajectories or pseudotime.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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immune-checkpoint-combination-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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compbioagent-explorer
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-chipseq-peak-calling
ChIP-seq peak calling using MACS3 (or MACS2). Call narrow peaks for transcription factors or broad peaks for histone modifications. Supports input control, fragment size modeling, and various output formats including narrowPeak and broadPeak BED files. Use when calling peaks from ChIP-seq alignments.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-single-cell-lineage-tracing
Reconstruct cell lineage trees from CRISPR barcode tracing or mitochondrial mutations. Use when studying clonal dynamics, cell fate decisions, or developmental trajectories.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009