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Agent skills
openclaw-skills

Topic: openclaw-skills

1,539 skills in this topic.

bio-workflows-somatic-variant-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-imaging-mass-cytometry-data-preprocessing Load and preprocess imaging mass cytometry (IMC) and MIBI data. Covers MCD/TIFF handling, hot pixel removal, and image normalization. Use when starting IMC analysis from raw MCD files or preparing images for segmentation.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
numerical-stability Analyze and enforce numerical stability for time-dependent PDE simulations. Use when selecting time steps, choosing explicit/implicit schemes, diagnosing numerical blow-up, checking CFL/Fourier criteria, von Neumann analysis, matrix conditioning, or detecting stiffness in advection/diffusion/reaction problems.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
ai-analyzer AI驱动的综合健康分析系统，整合多维度健康数据、识别异常模式、预测健康风险、提供个性化建议。支持智能问答和AI健康报告生成。
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
protein-design-workflow End-to-end guidance for protein design pipelines. Use this skill when: (1) Starting a new protein design project, (2) Need step-by-step workflow guidance, (3) Understanding the full design pipeline, (4) Planning compute resources and timelines, (5) Integrating multiple design tools. For tool selection, use binder-design. For QC thresholds, use protein-qc.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tooluniverse-gene-enrichment Perform comprehensive gene enrichment and pathway analysis using gseapy (ORA and GSEA), PANTHER, STRING, Reactome, and 40+ ToolUniverse tools. Supports GO enrichment (BP, MF, CC), KEGG, Reactome, WikiPathways, MSigDB Hallmark, and 220+ Enrichr libraries. Handles multiple ID types (gene symbols, Ensembl, Entrez, UniProt), multiple organisms (human, mouse, rat, fly, worm, yeast), customizable backgrounds, and multiple testing correction (BH, Bonferroni). Use when users ask about gene enrichment, pathway analysis, GO term enrichment, KEGG pathway analysis, GSEA, over-representation analysis, functional annotation, or gene set analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-copy-number-gatk-cnv Call copy number variants using GATK best practices workflow. Supports both somatic (tumor-normal) and germline CNV detection from WGS or WES data. Use when following GATK best practices or integrating CNV calling with other GATK variant pipelines.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-vcf-basics View, query, and understand VCF/BCF variant files using bcftools and cyvcf2. Use when inspecting variants, extracting specific fields, or understanding VCF format structure.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
pymc-bayesian-modeling Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-data-visualization-color-palettes
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-primer-design-primer-validation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-metabolomics-xcms-preprocessing XCMS3 workflow for LC-MS/MS metabolomics preprocessing. Covers peak detection, retention time alignment, correspondence (grouping), and gap filling. Use when processing raw LC-MS data into a feature table for untargeted metabolomics.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
medical-imaging-review Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper", "survey", "literature review", "综述", "systematic review", or mentions of writing academic reviews on deep learning for medical imaging.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-read-qc-quality-filtering Filter reads by quality scores, length, and N content using Trimmomatic and fastp. Apply sliding window trimming, remove low-quality bases from read ends, and discard reads below thresholds. Use when reads have poor quality tails or require minimum quality for downstream analysis.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-microbiome-taxonomy-assignment Taxonomic classification of ASVs using reference databases like SILVA, GTDB, or UNITE. Covers naive Bayes classifiers (DADA2, IDTAXA) and exact matching approaches. Use when assigning taxonomy to ASVs after DADA2 amplicon processing.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-metabolomics-statistical-analysis Statistical analysis for metabolomics data. Covers univariate testing, multivariate methods (PCA, PLS-DA), and biomarker discovery. Use when identifying differentially abundant metabolites or building classification models.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-workflows-crispr-editing-pipeline
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
crisis-detection-intervention-ai Detect crisis signals in user content using NLP, mental health sentiment analysis, and safe intervention protocols. Implements suicide ideation detection, automated escalation, and crisis resource integration. Use for mental health apps, recovery platforms, support communities. Activate on "crisis detection", "suicide prevention", "mental health NLP", "intervention protocol". NOT for general sentiment analysis, medical diagnosis, or replacing professional help.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
long-read-sequencing-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-clinical-databases-dbsnp-queries Query dbSNP for rsID lookups, variant annotations, and cross-references to other databases. Use when mapping between rsIDs and genomic coordinates or retrieving basic variant information.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-clinical-databases-somatic-signatures Extract and analyze mutational signatures from somatic variants using SigProfiler or MutationalPatterns to characterize mutagenic processes. Use when identifying DNA damage mechanisms or etiology in cancer genomes.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
bio-machine-learning-prediction-explanation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
infographics Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
tooluniverse-immunotherapy-response-prediction Predict patient response to immune checkpoint inhibitors (ICIs) using multi-biomarker integration. Given a cancer type, somatic mutations, and optional biomarkers (TMB, PD-L1, MSI status), performs systematic analysis across 11 phases covering TMB classification, neoantigen burden estimation, MSI/MMR assessment, PD-L1 evaluation, immune microenvironment profiling, mutation-based resistance/sensitivity prediction, clinical evidence retrieval, and multi-biomarker score integration. Generates a quantitative ICI Response Score (0-100), response likelihood tier, specific ICI drug recommendations with evidence, resistance risk factors, and a monitoring plan. Use when oncologists ask about immunotherapy eligibility, checkpoint inhibitor selection, or biomarker-guided ICI treatment decisions.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009