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Agent skills
openclaw-skills

Topic: openclaw-skills

1,539 skills in this topic.

arboreto Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-longread-alignment Align long reads using minimap2 for Oxford Nanopore and PacBio data. Supports various presets for different read types and applications. Use when aligning ONT or PacBio reads to a reference genome for variant calling, SV detection, or coverage analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
prior-auth-coworker
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
alphafold-database Access AlphaFold's 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
string-database Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
protein-structure-prediction
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-long-read-sequencing-nanopore-methylation Calls DNA methylation from Oxford Nanopore sequencing data using signal-level analysis. Use when detecting 5mC or 6mA modifications directly from nanopore reads without bisulfite conversion.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-imaging-mass-cytometry-interactive-annotation Interactive cell type annotation for IMC data. Covers napari-based annotation, marker-guided labeling, training data generation, and annotation validation. Use when manually annotating cell types for training classifiers or validating automated phenotyping results.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-imaging-mass-cytometry-phenotyping Cell type assignment from marker expression in IMC data. Covers manual gating, clustering, and automated classification approaches. Use when assigning cell types to segmented IMC cells based on protein marker expression or when phenotyping cells in multiplexed imaging data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
radiomics-pathomics-fusion-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
biomedical-data-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
spatial-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
biomedical-search Complete biomedical information search combining PubMed, preprints, clinical trials, and FDA drug labels. Powered by Valyu semantic search.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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
biorxiv-database Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
pytorch-lightning Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
treatment-plans Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management. Includes SMART goal frameworks, evidence-based interventions with minimal text citations, regulatory compliance (HIPAA), and professional formatting. Prioritizes brevity and clinical actionability.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
travel-health-analyzer 分析旅行健康数据、评估目的地健康风险、提供疫苗接种建议、生成多语言紧急医疗信息卡片。支持WHO/CDC数据集成的专业级旅行健康风险评估。
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
cell-free-expression Guidance for cell-free protein synthesis (CFPS) optimization. Use when: (1) Planning CFPS experiments, (2) Troubleshooting low yield or aggregation, (3) Optimizing DNA template design for CFPS, (4) Expressing difficult proteins (disulfide-rich, toxic, membrane).
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
pylabrobot Laboratory automation toolkit for controlling liquid handlers, plate readers, pumps, heater shakers, incubators, centrifuges, and analytical equipment. Use this skill when automating laboratory workflows, programming liquid handling robots (Hamilton STAR, Opentrons OT-2, Tecan EVO), integrating lab equipment, managing deck layouts and resources (plates, tips, containers), reading plates, or creating reproducible laboratory protocols. Applicable for both simulated protocols and physical hardware control.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
psychologist-analyst Analyzes events through psychological lens using cognitive psychology, social psychology, developmental psychology, clinical psychology, and neuroscience. Provides insights on behavior, cognition, emotion, motivation, group dynamics, decision-making biases, mental health, and individual differences. Use when: Behavioral patterns, decision-making, group behavior, mental health, leadership, persuasion, trauma, development. Evaluates: Cognitive processes, emotional responses, motivations, biases, group dynamics, personality, mental states.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-population-genetics-scikit-allel-analysis
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
aeon This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
cart-design-optimizer-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009