Topic: openclaw-skills
1,539 skills in this topic.
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performance-profiling
Identify computational bottlenecks, analyze scaling behavior, estimate memory requirements, and receive optimization recommendations for any computational simulation. Use when simulations are slow, investigating parallel efficiency, planning resource allocation, or seeking performance improvements through timing analysis, scaling studies, memory profiling, or bottleneck detection.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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aav-vector-design-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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single-cell-preprocessing-with-omicverse
Walk through omicverse's single-cell preprocessing tutorials to QC PBMC3k data, normalise counts, detect HVGs, and run PCA/embedding pipelines on CPU, CPU–GPU mixed, or GPU stacks.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-alignment-filtering
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-multi-omics-mofa-integration
Multi-Omics Factor Analysis (MOFA2) for unsupervised integration of multiple data modalities. Identifies shared and view-specific sources of variation. Use when integrating RNA-seq, proteomics, methylation, or other omics to discover latent factors driving biological variation across modalities.
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-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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bio-workflow-management-snakemake-workflows
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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MAGE
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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literature-review
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).
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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clinical-reports
Write comprehensive clinical reports including case reports (CARE guidelines), diagnostic reports (radiology/pathology/lab), clinical trial reports (ICH-E3, SAE, CSR), and patient documentation (SOAP, H&P, discharge summaries). Full support with templates, regulatory compliance (HIPAA, FDA, ICH-GCP), and validation tools.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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ctdna-dynamics-mrd-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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crispr-offtarget-predictor
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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compbioagent-explorer
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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patiently-ai
Patiently AI simplifies medical documents for patients. Takes doctor's letters, test results, prescriptions, discharge summaries, and clinical notes and explains them in clear, personalised language. Built by PharmaTools.AI.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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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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tcga-bulk-data-preprocessing-with-omicverse
Guide Claude through ingesting TCGA sample sheets, expression archives, and clinical carts into omicverse, initialising survival metadata, and exporting annotated AnnData files.
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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galaxy-bridge
Galaxy tool discovery, intelligent recommendation, and execution — 8,000+ bioinformatics tools from usegalaxy.org with multi-signal scoring and workflow suggestions
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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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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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