Topic: openclaw
3,425 skills in this topic.
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bio-workflows-riboseq-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bindingdb-database
Query BindingDB for measured drug-target binding affinities (Ki, Kd, IC50, EC50). Search by target (UniProt ID), compound (SMILES/name), or pathogen. Essential for drug discovery, lead optimization, polypharmacology analysis, and structure-activity relationship (SAR) studies.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-pdb-structure-io
Parse and write protein structure files using Biopython Bio.PDB. Use when reading PDB, mmCIF, and MMTF files, downloading structures from RCSB PDB, or writing structures to various formats.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-orchestrator
Meta-agent that routes bioinformatics requests to specialised sub-skills. Handles file type detection, analysis planning, report generation, and reproducibility export.
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-workflows-scrnaseq-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bindcraft
End-to-end binder design using BindCraft hallucination. Use this skill when: (1) Designing protein binders with built-in AF2 validation, (2) Running production-quality binder campaigns, (3) Using different design protocols (fast, default, slow), (4) Need joint backbone and sequence optimization, (5) Want high experimental success rate.
For backbone-only generation, use rfdiffusion. For QC thresholds, use protein-qc. For tool selection guidance, use binder-design.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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neurokit2
Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflow-management-cwl-workflows
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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vaex
Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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regulatory-drafting
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bioinformatics-singlecell
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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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
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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
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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-epitranscriptomics-m6anet-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-phylo-modern-tree-inference
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-blast-searches
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-causal-genomics-mediation-analysis
Decompose genetic effects into direct and indirect paths through mediating variables using the mediation R package. Tests whether gene expression, methylation, or other molecular phenotypes mediate the effect of genetic variants on disease. Use when testing whether a molecular phenotype mediates the genotype-to-phenotype relationship.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tooluniverse-rnaseq-deseq2
Production-ready RNA-seq differential expression analysis using PyDESeq2. Performs DESeq2 normalization, dispersion estimation, Wald testing, LFC shrinkage, and result filtering. Handles multi-factor designs, multiple contrasts, batch effects, and integrates with gene enrichment (gseapy) and ToolUniverse annotation tools (UniProt, Ensembl, OpenTargets). Supports CSV/TSV/H5AD input formats and any organism. Use when analyzing RNA-seq count matrices, identifying DEGs, performing differential expression with statistical rigor, or answering questions about gene expression changes.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-phylo-tree-manipulation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tooluniverse-target-research
Gather comprehensive biological target intelligence from 9 parallel research paths covering protein info, structure, interactions, pathways, expression, variants, drug interactions, and literature. Features collision-aware searches, evidence grading (T1-T4), explicit Open Targets coverage, and mandatory completeness auditing. Use when users ask about drug targets, proteins, genes, or need target validation, druggability assessment, or comprehensive target profiling.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009