Topic: skills
17,247 skills in this topic.
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bio-ribo-seq-ribosome-periodicity
Validate Ribo-seq data quality by checking 3-nucleotide periodicity and calculating P-site offsets. Use when assessing library quality or determining read offsets for downstream analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-metagenomics-metaphlan
Marker gene-based taxonomic profiling using MetaPhlAn 4. Provides accurate species-level relative abundances using clade-specific markers. Use when accurate taxonomic profiling is needed and computational resources are limited, or for comparison with HMP/other MetaPhlAn studies.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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cellular-senescence-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-ribo-seq-orf-detection
Detect and quantify translated ORFs from Ribo-seq data including uORFs and novel ORFs using RiboCode and ORFquant. Use when identifying translated regions beyond annotated coding sequences or quantifying ORF-level translation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-comparative-genomics-hgt-detection
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-data-visualization-genome-tracks
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-immunoinformatics-neoantigen-prediction
Identify tumor neoantigens from somatic mutations using pVACtools for personalized cancer immunotherapy. Predict mutant peptides that bind patient HLA and may elicit T-cell responses. Use when identifying vaccine targets or checkpoint inhibitor response biomarkers from tumor sequencing data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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hypothesis-generation
Generate testable hypotheses. Formulate from observations, design experiments, explore competing explanations, develop predictions, propose mechanisms, for scientific inquiry across domains.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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drug-labels-search
Search FDA drug labels with natural language queries. Official drug information, indications, and safety data via Valyu.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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clinical-trial-protocol-skill
Generate clinical trial protocols for medical devices or drugs. This skill should be used when users say "Create a clinical trial protocol", "Generate protocol for [device/drug]", "Help me design a clinical study", "Research similar trials for [intervention]", or when developing FDA submission documentation for investigational products.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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adaptyv
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-crispr-screens-batch-correction
Batch effect correction for CRISPR screens. Covers normalization across batches, technical replicate handling, and batch-aware analysis. Use when combining screens from multiple batches or correcting systematic technical variation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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cytokine-storm-analysis-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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agentd-drug-discovery
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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microbiome-cancer-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-read-qc-umi-processing
Extract, process, and deduplicate reads using Unique Molecular Identifiers (UMIs) with umi_tools. Use when library prep includes UMIs and accurate molecule counting is needed, such as in single-cell RNA-seq, low-input RNA-seq, or targeted sequencing to distinguish PCR from biological duplicates.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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scikit-learn
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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biomni-general-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-workflows-metagenomics-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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emergency-card
生成紧急情况下快速访问的医疗信息摘要卡片。当用户需要旅行、就诊准备、紧急情况或询问"紧急信息"、"医疗卡片"、"急救信息"时使用此技能。提取关键信息（过敏、用药、急症、植入物），支持多格式输出（JSON、文本、二维码），用于急救或快速就医。
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-epidemiological-genomics-variant-surveillance
Assign pathogen lineages and track variants using Nextclade and pangolin for viral surveillance. Monitor variant prevalence and identify emerging variants of concern. Use when classifying viral sequences, tracking lineage dynamics, or monitoring for variants of concern.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-alignment-sorting
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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tooluniverse-gwas-finemapping
Identify and prioritize causal variants at GWAS loci using statistical fine-mapping and locus-to-gene predictions. Computes posterior probabilities for causal variants, links variants to genes via L2G predictions, annotates functional consequences, and suggests validation strategies. Use when asked to fine-map GWAS loci, prioritize causal variants, identify credible sets, or link GWAS signals to causal genes.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
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bio-spatial-transcriptomics-spatial-statistics
Compute spatial statistics for spatial transcriptomics data using Squidpy. Calculate Moran's I, Geary's C, spatial autocorrelation, co-occurrence analysis, and neighborhood enrichment. Use when computing spatial autocorrelation or co-occurrence statistics.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009