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Data analysis, BI, visualization, datasets, statistics, and ML workflows
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Showing 10,969–10,992 of 12,991 skills
- Gtars K Dense Ai Scientific Agent SkiHigh-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.Votes: 0GitHub stars: 666
- Go EnrichmentGene Ontology over-representation analysis using clusterProfiler enrichGO. Use when identifying biological functions enriched in a gene list from differential expression or other analyses. Supports all three ontologies (BP, MF, CC), multiple ID types, and customizable statistical thresholds.Votes: 0GitHub stars: 666
- Gatk Variant CallingVariant calling with GATK HaplotypeCaller following best practices. Covers germline SNP/indel calling, GVCF workflow for cohorts, joint genotyping, and variant quality score recalibration (VQSR). Use when calling variants with GATK HaplotypeCaller.Votes: 0GitHub stars: 666
- Gating Analysis Gptomics BioskillsManual and automated gating for defining cell populations in flow cytometry. Covers rectangular, polygon, and data-driven gates. Use when identifying cell populations through hierarchical gating strategies.Votes: 0GitHub stars: 666
- Scientific Pkg Umap LearnUMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.Votes: 0GitHub stars: 666
- Scientific Pkg Torch GeometricGraph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.Votes: 0GitHub stars: 666
- Scientific Pkg Scikit LearnMachine 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.Votes: 0GitHub stars: 666
- Scientific Pkg PytdcTherapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological prediction.Votes: 0GitHub stars: 666
- Scientific Pkg MolfeatMolecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.Votes: 0GitHub stars: 666
- Scientific Pkg GtarsHigh-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.Votes: 0GitHub stars: 666
- Risk Assessment Ml Datadrivenconstructi Ddc Skills For Ai AgApply machine learning for construction project risk assessment. Predict schedule delays, cost overruns, and safety incidents using historical data and project characteristics.Votes: 0GitHub stars: 666
- Progress Monitoring Cv Datadrivenconstructi Ddc Skills For Ai AgMonitor construction progress using computer vision. Analyze site photos and drone imagery to track work completion, detect safety issues, and compare against BIM models.Votes: 0GitHub stars: 666
- Prediction ExplanationExplains machine learning predictions on omics data using SHAP values and LIME for feature attribution. Identifies which genes or features drive classifier decisions. Use when interpreting biomarker classifiers or understanding model predictions.Votes: 0GitHub stars: 666
- Photo Content Recognition Curation Expert Erichowens Some ClaudeExpert in photo content recognition, intelligent curation, and quality filtering. Specializes in face/animal/place recognition, perceptual hashing for de-duplication, screenshot/meme detection, burst photo selection, and quick indexing strategies. Activate on 'face recognition', 'face clustering', 'perceptual hash', 'near-duplicate', 'burst photo', 'screenshot detection', 'photo curation', 'photo indexing', 'NSFW detection', 'pet recognition', 'DINOHash', 'HDBSCAN faces'. NOT for GPS-based lo...Votes: 0GitHub stars: 666
- Photo Content Recognition Curation Expert Curiositech Some ClaudExpert in photo content recognition, intelligent curation, and quality filtering. Specializes in face/animal/place recognition, perceptual hashing for de-duplication, screenshot/meme detection,Votes: 0GitHub stars: 666
- Pathway MappingMap metabolites to biological pathways using KEGG, Reactome, and MetaboAnalyst. Perform pathway enrichment and topology analysis. Use when interpreting metabolomics results in the context of biochemical pathways.Votes: 0GitHub stars: 666
- Ds ToolsThis skill should be used when the user asks "what plugins are available", "list data science tools", "what MCP servers can I use", "enable code intelligence", or needs to discover available plugins like serena, context7, or data access skills like wrds and lseg-data.Votes: 0GitHub stars: 57
- Feature Engineeringモデルの性能を向上させるために、既存のデータから新しい特徴量を作成する。Votes: 0GitHub stars: 57
- Scikit LearnThe industry standard library for machine learning in Python. Provides simple and efficient tools for predictive data analysis, covering classification, regression, clustering, dimensionality reduction, model selection, and preprocessing.Votes: 0GitHub stars: 57
- VisualizationKnowledge about pyecharts chart creation, HTML report generation, and visualization best practicesVotes: 0GitHub stars: 57
- Oracle Family ScanOracle Family Registry — the index of all known Oracles (800+ and growing). Use when user says "family scan", "oracle registry", "welcome new oracles", or needs to check Oracle population.Votes: 0GitHub stars: 120
- Moai Lang Language Slug{{LANGUAGE_NAME}} best practices with modern frameworks, {{PRIMARY_DOMAIN}}, and performance optimization for 2025Votes: 0GitHub stars: 57
- Mcp Ux BrainstormingThis skill should be used when the user asks to "brainstorm app ideas", "design a ChatGPT app", "what kind of app should I build", "MCP app concept", "ideate widget UX", "plan conversational experience", "design for ChatGPT", or needs help generating and evaluating user experience concepts for OpenAI Apps SDK MCP applications.Votes: 0GitHub stars: 57
- Manifold AnalysisAnalyze Manifold Markets prediction market data. Use when processing HTML exports or trade history from manifold.markets to create visualizations of trading volume, trader leaderboards, probability movements, and market dynamics. Triggers on requests involving Manifold Markets data, prediction market analysis, or when user uploads Manifold HTML files.Votes: 0GitHub stars: 57