All authors
Claude Skills by paulpas
github.com/paulpas1,344 skills31 installs3,958 views
- Domain Repository PatternImplements repository and specification patterns for DDD to abstract data access while keeping domain logic in the domain layer — generic repositories, typed specifications, pagination, and query composition without leaking persistence details.Votes: 0GitHub stars: 4
- Domain Service OrchestrationImplements domain service orchestration for cross-aggregate business operations in DDD — coordinating multiple aggregate roots while preserving encapsulation, handling compensation on failure, and maintaining transaction boundaries without leaking coordination logic into domain models.Votes: 0GitHub stars: 4
- Domain TestingVerifies DDD domain model correctness through invariant testing of aggregatesVotes: 0GitHub stars: 4
- Dropbox ApiIntegrates with Dropbox API to manage files, folders, sharing, PaperVotes: 0GitHub stars: 4
- Dry PrincipleRefactors code to eliminate duplicate logic and knowledge by applying targeted abstraction techniques while balancing YAGNI to prevent over-engineering.Votes: 0GitHub stars: 4
- Dry PrinciplesImplements DRY (Don't Repeat Yourself) principle enforcement throughVotes: 0GitHub stars: 4
- Ds Ab TestingProvides Designs and analyzes A/B tests including hypothesis testingVotes: 0GitHub stars: 4
- Ds Anomaly Detection'"Detects anomalies and outliers using isolation forests, local outlierVotes: 0GitHub stars: 4
- Ds Association Rules'"Provides Discovers association rules and frequent itemsets using AprioriVotes: 0GitHub stars: 4
- Ds Bayesian Inference'"Applies Bayesian methods for prior selection, posterior estimationVotes: 0GitHub stars: 4
- Ds Bias Variance Tradeoff'"Analyzes bias-variance tradeoff, overfitting, underfitting, and regularizationVotes: 0GitHub stars: 4
- Ds Categorical Encoding'"Provides Encodes categorical variables using one-hot encoding, targetVotes: 0GitHub stars: 4
- Ds Causal InferenceImplements causal models, directed acyclic graphs (DAGs), confoundingVotes: 0GitHub stars: 4
- Ds Classification Metrics'"Evaluates classification models using precision, recall, F1-scoreVotes: 0GitHub stars: 4
- Ds Clustering'"Implements clustering algorithms including K-means, hierarchical clusteringVotes: 0GitHub stars: 4
- Ds Community Detection'"Detects communities and clusters in graphs using modularity optimizationVotes: 0GitHub stars: 4
- Ds Confidence Intervals'"Provides Constructs confidence intervals using bootstrap, analyticalVotes: 0GitHub stars: 4
- Ds Correlation Analysis'"Analyzes correlation, covariance, and multivariate relationships betweenVotes: 0GitHub stars: 4
- Ds Cross Validation'"Implements k-fold cross-validation, stratified cross-validation, time-seriesVotes: 0GitHub stars: 4
- Ds Data Collection'"Implements data gathering strategies including APIs, web scrapingVotes: 0GitHub stars: 4
- Ds Data Ingestion'"Provides Designs and implements ETL pipelines, streaming data ingestionVotes: 0GitHub stars: 4
- Ds Data Privacy'"Applies privacy-preserving techniques including anonymization, differentialVotes: 0GitHub stars: 4
- Ds Data ProfilingProvides Extracts data profiles, schemas, metadata, and statistical summariesVotes: 0GitHub stars: 4
- Ds Data Quality'"Implements data validation, cleaning, outlier detection, and qualityVotes: 0GitHub stars: 4
- Ds Data Versioning'"Implements data versioning, lineage tracking, provenance managementVotes: 0GitHub stars: 4
- Ds Data Visualization'"Creates effective visualizations including plots, charts, dashboardsVotes: 0GitHub stars: 4
- Ds Dimensionality Reduction'"Provides Reduces data dimensionality using PCA, t-SNE, UMAP, autoencodersVotes: 0GitHub stars: 4
- Ds Distribution Fitting'"Provides Fits statistical distributions to data using goodness-of-fitVotes: 0GitHub stars: 4
- Ds Eda'"Provides Performs exploratory data analysis using summary statisticsVotes: 0GitHub stars: 4
- Ds Ensemble Methods'"Provides Combines multiple models using bagging, boosting, stackingVotes: 0GitHub stars: 4
- Ds Experimental Design'"Provides Designs experiments using design of experiments (DOE), factorialVotes: 0GitHub stars: 4
- Ds Explainability'"Implements explainability and interpretability techniques for modelVotes: 0GitHub stars: 4
- Ds Feature Engineering'"Creates and transforms features including polynomial features, interactionsVotes: 0GitHub stars: 4
- Ds Feature Interaction'"Provides Discovers and engineers feature interactions including polynomialVotes: 0GitHub stars: 4
- Ds Feature Scaling Normalization'"Provides Scales and normalizes features using standardization, normalizationVotes: 0GitHub stars: 4
- Ds Feature Selection'"Selects relevant features using univariate selection, recursive eliminationVotes: 0GitHub stars: 4
- Ds Hyperparameter Tuning'"Optimizes hyperparameters using grid search, random search, BayesianVotes: 0GitHub stars: 4
- Ds Hypothesis TestingImplements hypothesis testing including t-tests, chi-square tests, p-valuesVotes: 0GitHub stars: 4
- Ds Instrumental Variables'"Provides Uses instrumental variables (IV), two-stage least squaresVotes: 0GitHub stars: 4
- Ds Intervention Analysis'"Provides Estimates treatment effects, conditional average treatmentVotes: 0GitHub stars: 4
- Ds Kernel Density'"Implements kernel density estimation, non-parametric density estimationVotes: 0GitHub stars: 4
- Ds Linear Regression'"Implements linear regression including OLS, ridge regression, lassoVotes: 0GitHub stars: 4
- Ds Logistic Regression'"Implements logistic regression for binary and multinomial classificationVotes: 0GitHub stars: 4
- Ds Maximum LikelihoodImplements maximum likelihood estimation, likelihood functions, and optimizationVotes: 0GitHub stars: 4
- Ds Metrics And Kpis'"Defines, selects, and monitors key performance indicators (KPIs), businessVotes: 0GitHub stars: 4
- Ds Missing Data'"Handles missing data using imputation strategies, deletion methodsVotes: 0GitHub stars: 4
- Ds Model Fairness'"Evaluates and mitigates fairness issues including bias detection, fairnessVotes: 0GitHub stars: 4
- Ds Model Interpretation'"Provides Interprets models using SHAP values, LIME, feature importanceVotes: 0GitHub stars: 4
- Ds Model RobustnessImproves model robustness including adversarial robustness, out-of-distributionVotes: 0GitHub stars: 4
- Ds Model Selection'"Provides Compares and selects models using AIC, BIC, validation curvesVotes: 0GitHub stars: 4