Topic: openclaw
3,425 skills in this topic.
-
clinical-nlp-extractor
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
struct-predictor
Local protein structure prediction with AlphaFold, Boltz, or Chai. Compare predicted structures, compute RMSD, visualise 3D models.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
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
-
bio-crispr-screens-hit-calling
Statistical methods for calling hits in CRISPR screens. Covers MAGeCK, BAGEL2, drugZ, and custom approaches for identifying essential and resistance genes. Use when identifying significant genes from screen count data after QC passes.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
microbiome-cancer-agent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-flow-cytometry-bead-normalization
Bead-based normalization for CyTOF and high-parameter flow cytometry. Covers EQ bead normalization, signal drift correction, and batch normalization. Use when correcting instrument drift in CyTOF or harmonizing data across batches.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
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
-
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
-
docx
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
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
-
bio-multi-omics-similarity-network
Similarity Network Fusion (SNF) for patient stratification using multi-omics data. Integrates multiple data types into a unified patient similarity network. Use when performing patient stratification or integrating multi-omics data into unified similarity networks.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
umap-learn
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
gtex-database
Query GTEx (Genotype-Tissue Expression) portal for tissue-specific gene expression, eQTLs (expression quantitative trait loci), and sQTLs. Essential for linking GWAS variants to gene regulation, understanding tissue-specific expression, and interpreting non-coding variant effects.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
pydicom
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
goal-analyzer
分析健康目标数据、识别目标模式、评估目标进度,并提供个性化目标管理建议。支持与营养、运动、睡眠等健康数据的关联分析。
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
numerical-integration
Select and configure time integration methods for ODE/PDE simulations. Use when choosing explicit/implicit schemes, setting error tolerances, adapting time steps, diagnosing integration accuracy, planning IMEX splitting, or handling stiff/non-stiff coupled systems.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
bio-genome-assembly-assembly-polishing
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
linear-solvers
Select and configure linear solvers for systems Ax=b in dense and sparse problems. Use when choosing direct vs iterative methods, diagnosing convergence issues, estimating conditioning, selecting preconditioners, or debugging stagnation in GMRES/CG/BiCGSTAB.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
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
-
bio-systems-biology-model-curation
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
STAgent
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
spatial-multiomics
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
spatial-visualization
FreedomIntelligence/OpenClaw-Medical-Skills 2,009
-
mcpmed-bioinformatics-server
Model Context Protocol (MCP) server for bioinformatics web services like GEO, STRING, and UCSC Cell Browser.
FreedomIntelligence/OpenClaw-Medical-Skills 2,009