Topic: skills
17,247 skills in this topic.
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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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tooluniverse-single-cell
Production-ready single-cell and expression matrix analysis using scanpy, anndata, and scipy. Performs scRNA-seq QC, normalization, PCA, UMAP, Leiden/Louvain clustering, differential expression (Wilcoxon, t-test, DESeq2), cell type annotation, per-cell-type statistical analysis, gene-expression correlation, batch correction (Harmony), trajectory inference, and cell-cell communication analysis. NEW: Analyzes ligand-receptor interactions between cell types using OmniPath (CellPhoneDB, CellChatDB), scores communication strength, identifies signaling cascades, and handles multi-subunit receptor complexes. Integrates with ToolUniverse gene annotation tools (HPA, Ensembl, MyGene, UniProt) and enrichment tools (gseapy, PANTHER, STRING). Supports h5ad, 10X, CSV/TSV count matrices, and pre-annotated datasets. Use when analyzing single-cell RNA-seq data, studying cell-cell interactions, performing cell type differential expression, computing gene-expression correlations by cell type, analyzing tumor-immune communication, or answering questions about scRNA-seq datasets.
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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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
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bio-flow-cytometry-clustering-phenotyping
Unsupervised clustering and cell type identification for flow/mass cytometry. Covers FlowSOM, Phenograph, and CATALYST workflows. Use when discovering cell populations in high-dimensional cytometry data without predefined gates.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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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
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subagent-driven-development
Use when executing implementation plans with independent tasks in the current session
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tooluniverse-adverse-event-detection
Detect and analyze adverse drug event signals using FDA FAERS data, drug labels, disproportionality analysis (PRR, ROR, IC), and biomedical evidence. Generates quantitative safety signal scores (0-100) with evidence grading. Use for post-market surveillance, pharmacovigilance, drug safety assessment, adverse event investigation, and regulatory decision support.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-atac-seq-footprinting
Detect transcription factor binding sites through footprinting analysis in ATAC-seq data using TOBIAS. Use when identifying TF occupancy patterns within accessible regions, as TF binding protects DNA from Tn5 cutting.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-genome-intervals-bigwig-tracks
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-read-qc-contamination-screening
Detect sample contamination and cross-species reads using FastQ Screen. Screen reads against multiple reference genomes to identify bacterial, viral, adapter, or sample swap contamination. Use when suspecting cross-contamination or working with samples prone to microbial contamination.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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mpn-progression-monitor-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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biomni
Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use this skill when conducting multi-step biomedical research including CRISPR screening design, single-cell RNA-seq analysis, ADMET prediction, GWAS interpretation, rare disease diagnosis, or lab protocol optimization. Leverages LLM reasoning with code execution and integrated biomedical databases.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-variant-calling
Call SNPs and indels from aligned reads using bcftools mpileup and call. Use when detecting variants from BAM files or generating VCF from alignments.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflows-biomarker-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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ehr-fhir-integration
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-causal-genomics-fine-mapping
Identify likely causal variants within GWAS loci using SuSiE for sum of single effects regression and FINEMAP for shotgun stochastic search. Computes posterior inclusion probabilities and credible sets to prioritize variants for functional follow-up. Use when narrowing GWAS association signals to candidate causal variants or building credible sets for functional validation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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armored-cart-design-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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iso-13485-certification
Comprehensive toolkit for preparing ISO 13485 certification documentation for medical device Quality Management Systems. Use when users need help with ISO 13485 QMS documentation, including (1) conducting gap analysis of existing documentation, (2) creating Quality Manuals, (3) developing required procedures and work instructions, (4) preparing Medical Device Files, (5) understanding ISO 13485 requirements, or (6) identifying missing documentation for medical device certification. Also use when users mention medical device regulations, QMS certification, FDA QMSR, EU MDR, or need help with quality system documentation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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binding-characterization
Guidance for SPR and BLI binding characterization experiments. Use when: (1) Planning binding kinetics experiments, (2) Troubleshooting poor/no binding signal, (3) Interpreting kinetic data artifacts, (4) Choosing between SPR vs BLI platforms.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-spatial-transcriptomics-spatial-proteomics
Analyzes spatial proteomics data from CODEX, IMC, and MIBI platforms including cell segmentation and protein colocalization. Use when working with multiplexed imaging data, analyzing protein spatial patterns, or integrating spatial proteomics with transcriptomics.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-vcf-manipulation
Merge, concatenate, sort, intersect, and subset VCF files using bcftools. Use when combining variant files, comparing call sets, or restructuring VCF data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-spatial-transcriptomics-image-analysis
Process and analyze tissue images from spatial transcriptomics data using Squidpy. Extract image features, segment cells/nuclei, and compute morphological features from H&E or IF images. Use when processing tissue images for spatial transcriptomics.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009