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Claude Skills by a5c-ai
github.com/a5c-ai2,120 skills40 installs3,476 views
- Zk CircuitsZero-knowledge circuit development using Circom and Noir languages. Supports constraint optimization, ZK-friendly cryptographic primitives, proof generation (Groth16, PLONK), and Merkle tree implementations.Votes: 0GitHub stars: 1,760
- Ab Test Statistical AnalyzerPerforms statistical analysis for A/B testing experimentsVotes: 0GitHub stars: 1,760
- Airflow Dag AnalyzerAnalyzes, validates, and optimizes Apache Airflow DAGs for reliability, performance, and best practices adherence.Votes: 0GitHub stars: 1,760
- Apache Spark OptimizerAnalyzes and optimizes Apache Spark jobs for performance, cost, and resource utilizationVotes: 0GitHub stars: 1,760
- Batch Vs Stream TradeoffsAnalyze and decide between batch and stream processing architectures — latency requirements, cost modeling, and hybrid Lambda/Kappa patterns.Votes: 0GitHub stars: 1,760
- Bi Semantic Layer GeneratorGenerates semantic layer definitions for BI tools from dimensional modelsVotes: 0GitHub stars: 1,760
- Cdc Pattern ImplementerImplements Change Data Capture patterns for real-time data integrationVotes: 0GitHub stars: 1,760
- Cost OptimizerAnalyzes and optimizes costs for cloud data platformsVotes: 0GitHub stars: 1,760
- Data Catalog EnricherEnriches data catalog entries with automated metadataVotes: 0GitHub stars: 1,760
- Data Lineage MapperExtracts and maps data lineage from various sources including SQL, dbt, Airflow, and Spark, generating comprehensive lineage graphs for impact analysis.Votes: 0GitHub stars: 1,760
- Data Quality ProfilerProfiles data assets to assess quality dimensions, detect anomalies, and generate comprehensive data quality reports with actionable recommendations.Votes: 0GitHub stars: 1,760
- Dbt Project AnalyzerAnalyzes dbt projects for best practices, performance, maintainability, and generates actionable recommendations for improvement.Votes: 0GitHub stars: 1,760
- Dimensional Model ValidatorValidates dimensional models against Kimball methodology best practicesVotes: 0GitHub stars: 1,760
- Etl TestingTest ETL pipelines for data completeness, transformation accuracy, schema validation, and end-to-end data flow integrity.Votes: 0GitHub stars: 1,760
- Feature Engineering OptimizerOptimizes feature engineering pipelines and feature store configurationsVotes: 0GitHub stars: 1,760
- Great Expectations GeneratorGenerates Great Expectations suites from data profiles and business rulesVotes: 0GitHub stars: 1,760
- Incremental Model Strategy SelectorSelects and configures optimal incremental model strategiesVotes: 0GitHub stars: 1,760
- Kafka Topic DesignerDesigns and optimizes Apache Kafka topics and configurationsVotes: 0GitHub stars: 1,760
- Obt Design OptimizerDesigns and optimizes One Big Table (OBT) patternsVotes: 0GitHub stars: 1,760
- Scd Implementation GeneratorGenerates Slowly Changing Dimension implementations across platformsVotes: 0GitHub stars: 1,760
- Schema Evolution ManagerManages schema evolution and compatibility across data systemsVotes: 0GitHub stars: 1,760
- Spark JobsDevelop, optimize, and deploy Apache Spark jobs for large-scale batch processing, streaming, and machine learning workloads.Votes: 0GitHub stars: 1,760
- Sql Query OptimizerAnalyzes and optimizes SQL queries across different data warehouse platforms (Snowflake, BigQuery, Redshift, Databricks) with platform-specific recommendations.Votes: 0GitHub stars: 1,760
- Stream Processing Windowing DesignerDesigns optimal windowing strategies for stream processingVotes: 0GitHub stars: 1,760
- Alibi ExplainerAlibi explainability skill for counterfactual explanations, anchors, and trust scores.Votes: 0GitHub stars: 1,760
- Arize ObservabilityArize AI skill for production ML monitoring, embedding drift, and performance analysis.Votes: 0GitHub stars: 1,760
- Dvc Dataset VersioningDataset versioning skill using DVC for tracking data changes, managing data pipelines, and ensuring reproducibility.Votes: 0GitHub stars: 1,760
- Fairlearn Bias DetectorFairness assessment skill using Fairlearn for bias detection, mitigation, and compliance reporting.Votes: 0GitHub stars: 1,760
- Feast Feature StoreFeature store management skill for online/offline feature serving, feature registration, and training-serving consistency.Votes: 0GitHub stars: 1,760
- Great Expectations ValidatorData quality validation skill using Great Expectations for schema validation, expectation suites, data documentation, and automated data quality checks in ML pipelines.Votes: 0GitHub stars: 1,760
- Inference Performance TestingBenchmark and optimize ML model inference — latency, throughput, memory usage, and hardware-specific performance profiling.Votes: 0GitHub stars: 1,760
- Jupyter Notebook ExecutorJupyter notebook execution skill for running notebooks programmatically and extracting outputs.Votes: 0GitHub stars: 1,760
- Kubeflow Pipeline ExecutorKubeflow Pipelines skill for ML workflow orchestration, component management, and Kubernetes-native ML.Votes: 0GitHub stars: 1,760
- Lime ExplainerLIME-based local explanation skill for individual predictions across tabular, text, and image data.Votes: 0GitHub stars: 1,760
- Mlflow Experiment TrackerMLflow integration skill for experiment tracking, model registry, and artifact management. Enables LLMs to log experiments, compare runs, manage model lifecycle, and retrieve artifacts through the MLflow API.Votes: 0GitHub stars: 1,760
- Model Card GeneratorModel documentation skill for generating model cards following Google's model card framework.Votes: 0GitHub stars: 1,760
- Optuna Hyperparameter TunerOptuna integration skill for automated hyperparameter optimization with advanced search strategies, pruning, multi-objective optimization, and visualization capabilities.Votes: 0GitHub stars: 1,760
- Pandas Dataframe AnalyzerAutomated DataFrame analysis skill for statistical summaries, missing value detection, data type inference, and memory optimization recommendations.Votes: 0GitHub stars: 1,760
- Pytest Ml TesterML-specific testing skill using pytest with fixtures for data, models, and predictions.Votes: 0GitHub stars: 1,760
- Pytorch TrainerPyTorch model training skill with custom training loops, gradient management, and GPU optimization.Votes: 0GitHub stars: 1,760
- Ray Distributed TrainerDistributed computing skill using Ray for parallel training, hyperparameter search, and resource management.Votes: 0GitHub stars: 1,760
- Reinforcement Learning AgentsDesign and train reinforcement learning agents — environment setup, reward shaping, policy gradient methods, and evaluation.Votes: 0GitHub stars: 1,760
- Reproducibility TestingEnsure ML experiment reproducibility — seed management, environment pinning, artifact versioning, and deterministic training validation.Votes: 0GitHub stars: 1,760
- Rlhf SystemsHuman-feedback-driven model optimization — preference data collection, reward modeling, policy updates, and alignment evaluation.Votes: 0GitHub stars: 1,760
- Seldon Model DeployerSeldon Core deployment skill for model serving, A/B testing, and canary deployments on Kubernetes.Votes: 0GitHub stars: 1,760
- Shap ExplainerSHAP-based model explainability skill for feature attribution, summary plots, and interaction analysis.Votes: 0GitHub stars: 1,760
- Sklearn Model TrainerScikit-learn model training skill with cross-validation, hyperparameter tuning, pipeline construction, and model serialization. Enables automated ML model development using scikit-learn's comprehensive toolkit.Votes: 0GitHub stars: 1,760
- Statistical TestingApply statistical hypothesis testing, significance analysis, A/B test evaluation, and distribution comparisons for data science workflows.Votes: 0GitHub stars: 1,760
- Tensorflow TrainerTensorFlow/Keras model training skill with callbacks, distributed strategies, and TensorBoard integration.Votes: 0GitHub stars: 1,760
- Time Series AnalysisAnalyze and model time-series data — forecasting, anomaly detection, trend decomposition, and temporal feature engineering.Votes: 0GitHub stars: 1,760