Topic: skills
17,247 skills in this topic.
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bio-rna-quantification-count-matrix-qc
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
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scientific-manuscript
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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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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rdkit
Cheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generation, similarity, reactions. For standard workflows with simpler interface, use datamol (wrapper around RDKit). Use rdkit for advanced control, custom sanitization, specialized algorithms.
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-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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bio-transcription-translation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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leads-literature-mining
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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mpn-progression-monitor-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tooluniverse-antibody-engineering
Comprehensive antibody engineering and optimization for therapeutic development. Covers humanization, affinity maturation, developability assessment, and immunogenicity prediction. Use when asked to optimize antibodies, humanize sequences, or engineer therapeutic antibodies from lead to clinical candidate.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-epitranscriptomics-m6anet-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-machine-learning-survival-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-experimental-design-multiple-testing
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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bio-alignment-filtering
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bioinformatics-singlecell
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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pyopenms
Python interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics workflows including file handling (mzML, mzXML, mzTab, FASTA, pepXML, protXML, mzIdentML), signal processing, feature detection, peptide identification, and quantitative analysis. Apply when working with mass spectrometry data, analyzing proteomics experiments, or processing metabolomics 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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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
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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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bio-single-cell-batch-integration
Integrate multiple scRNA-seq samples/batches using Harmony, scVI, Seurat anchors, and fastMNN. Remove technical variation while preserving biological differences. Use when integrating multiple scRNA-seq batches or datasets.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflow-management-snakemake-workflows
FreedomIntelligence/OpenClaw-Medical-Skills 2,009