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Topic: awesome

1,258 skills in this topic.

writing-plans Use when you have a spec or requirements for a multi-step task, before touching code
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bulk-rna-seq-batch-correction-with-combat Use omicverse's pyComBat wrapper to remove batch effects from merged bulk RNA-seq or microarray cohorts, export corrected matrices, and benchmark pre/post correction visualisations.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
regulatory-drafting
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-differential-expression-timeseries-de Analyze time-series RNA-seq data using limma voom with splines, maSigPro, and ImpulseDE2. Identify genes with dynamic expression patterns. Use when analyzing time-series or longitudinal expression data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-entrez-fetch
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
chai Structure prediction using Chai-1, a foundation model for molecular structure. Use this skill when: (1) Predicting protein-protein complex structures, (2) Validating designed binders, (3) Predicting protein-ligand complexes, (4) Using the Chai API for high-throughput prediction, (5) Need an alternative to AlphaFold2. For QC thresholds, use protein-qc. For AlphaFold2 prediction, use alphafold. For ESM-based analysis, use esm.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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
hypogenic Automated hypothesis generation and testing using large language models. Use this skill when generating scientific hypotheses from datasets, combining literature insights with empirical data, testing hypotheses against observational data, or conducting systematic hypothesis exploration for research discovery in domains like deception detection, AI content detection, mental health analysis, or other empirical research tasks.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
nextflow-development Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local FASTQs or public datasets from GEO/SRA. Triggers on nf-core, Nextflow, FASTQ analysis, variant calling, gene expression, differential expression, GEO reanalysis, GSE/GSM/SRR accessions, or samplesheet creation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
imaging-data-commons Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research. No authentication required. Query by metadata, visualize in browser, check licenses.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-epitranscriptomics-m6anet-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-experimental-design-multiple-testing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-genome-intervals-bigwig-tracks
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
labstep Interact with the Labstep electronic lab notebook API using labstepPy. Query experiments, protocols, resources, inventory, and other lab entities.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
claims-appeals
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-fragment-analysis Analyzes cfDNA fragment size distributions and fragmentomics features using FinaleToolkit or Griffin. Extracts nucleosome positioning patterns, fragment ratios, and DELFI-style fragmentation profiles for cancer detection. Use when leveraging fragment patterns for tumor detection or tissue-of-origin analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-gatk-variant-calling Variant calling with GATK HaplotypeCaller following best practices. Covers germline SNP/indel calling, GVCF workflow for cohorts, joint genotyping, and variant quality score recalibration (VQSR). Use when calling variants with GATK HaplotypeCaller.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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
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
lobster-bioinformatics Run bioinformatics analyses using Lobster AI - single-cell RNA-seq, bulk RNA-seq, literature mining, dataset discovery, quality control, and visualization. Use when analyzing genomics data, searching for papers/datasets, or working with H5AD, CSV, GEO/SRA accessions, or biological data. Requires lobster-ai package installed.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
chemcrow-drug-discovery
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
chemical-property-lookup
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
leads-literature-mining
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
ligandmpnn Ligand-aware protein sequence design using LigandMPNN. Use this skill when: (1) Designing sequences around small molecules, (2) Enzyme active site design, (3) Ligand binding pocket optimization, (4) Metal coordination site design, (5) Cofactor binding proteins. For standard protein design, use proteinmpnn. For solubility optimization, use solublempnn.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009