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Agent skills
babysitter

Topic: babysitter

2,051 skills in this topic.

crm-integration Deep integration with CRM platforms for customer data and actions
a5c-ai/babysitter 514
bentoml-model-packager BentoML skill for model packaging, serving, and containerization.
a5c-ai/babysitter 514
dvc-dataset-versioning Dataset versioning skill using DVC for tracking data changes, managing data pipelines, and ensuring reproducibility.
a5c-ai/babysitter 514
evidently-drift-detector Evidently AI skill for data drift detection, model performance monitoring, target drift analysis, and automated reporting for ML systems in production.
a5c-ai/babysitter 514
strategy-stress-testing-skill Strategy robustness testing, scenario-based evaluation, vulnerability identification, and adaptation planning
a5c-ai/babysitter 514
okr-skill OKR methodology expertise including objective setting, key results definition, quarterly cadences, and alignment cascading
a5c-ai/babysitter 514
kpi-design-skill Strategic KPI selection, metric definition, performance dashboard design, and measurement system architecture
a5c-ai/babysitter 514
whylabs-monitor WhyLabs integration skill for ML observability, profile logging, and anomaly detection.
a5c-ai/babysitter 514
wandb-experiment-tracker Weights & Biases integration skill for experiment tracking, hyperparameter sweeps, and artifact versioning.
a5c-ai/babysitter 514
optuna-hyperparameter-tuner Optuna integration skill for automated hyperparameter optimization with advanced search strategies, pruning, multi-objective optimization, and visualization capabilities.
a5c-ai/babysitter 514
fairlearn-bias-detector Fairness assessment skill using Fairlearn for bias detection, mitigation, and compliance reporting.
a5c-ai/babysitter 514
feast-feature-store Feature store management skill for online/offline feature serving, feature registration, and training-serving consistency.
a5c-ai/babysitter 514
great-expectations-validator Data quality validation skill using Great Expectations for schema validation, expectation suites, data documentation, and automated data quality checks in ML pipelines.
a5c-ai/babysitter 514
jupyter-notebook-executor Jupyter notebook execution skill for running notebooks programmatically and extracting outputs.
a5c-ai/babysitter 514
kubeflow-pipeline-executor Kubeflow Pipelines skill for ML workflow orchestration, component management, and Kubernetes-native ML.
a5c-ai/babysitter 514
lime-explainer LIME-based local explanation skill for individual predictions across tabular, text, and image data.
a5c-ai/babysitter 514
mlflow-experiment-tracker MLflow 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.
a5c-ai/babysitter 514
model-card-generator Model documentation skill for generating model cards following Google's model card framework.
a5c-ai/babysitter 514
ray-distributed-trainer Distributed computing skill using Ray for parallel training, hyperparameter search, and resource management.
a5c-ai/babysitter 514
sklearn-model-trainer Scikit-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.
a5c-ai/babysitter 514
shap-explainer SHAP-based model explainability skill for feature attribution, summary plots, and interaction analysis.
a5c-ai/babysitter 514
seldon-model-deployer Seldon Core deployment skill for model serving, A/B testing, and canary deployments on Kubernetes.
a5c-ai/babysitter 514
pytest-ml-tester ML-specific testing skill using pytest with fixtures for data, models, and predictions.
a5c-ai/babysitter 514
pandas-dataframe-analyzer Automated DataFrame analysis skill for statistical summaries, missing value detection, data type inference, and memory optimization recommendations.
a5c-ai/babysitter 514