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Agent skills
ai-automation

Topic: ai-automation

2,090 skills in this topic.

nextjs Next.js specific patterns including App Router, React Server Components, Server Actions, streaming, caching, and Vercel deployment.
a5c-ai/babysitter 514
nextauth NextAuth.js (Auth.js) configuration including providers, adapters, session management, callbacks, and JWT handling.
a5c-ai/babysitter 514
netlify Netlify deployment, functions, forms, and edge handlers.
a5c-ai/babysitter 514
nestjs NestJS architecture including modules, dependency injection, guards, interceptors, and microservices patterns.
a5c-ai/babysitter 514
msw Mock Service Worker API mocking, request handlers, and integration testing.
a5c-ai/babysitter 514
mongodb MongoDB schema design, aggregation pipelines, indexing strategies, and performance.
a5c-ai/babysitter 514
markdown Markdown documentation, MDX, and content formatting.
a5c-ai/babysitter 514
lit Web Components development with Lit including custom elements, reactive properties, shadow DOM, and interoperability.
a5c-ai/babysitter 514
jwt JWT implementation, token management, refresh patterns, and security.
a5c-ai/babysitter 514
jest Jest configuration, mocking strategies, snapshot testing, and coverage.
a5c-ai/babysitter 514
support-platform-integration Integration with support and ticketing platforms
a5c-ai/babysitter 514
graphql GraphQL schema design, resolvers, directives, subscriptions, and best practices for API development.
a5c-ai/babysitter 514
github-actions-web GitHub Actions for web app CI/CD, testing, and deployment.
a5c-ai/babysitter 514
pytorch-trainer PyTorch model training skill with custom training loops, gradient management, and GPU optimization.
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
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
pandas-dataframe-analyzer Automated DataFrame analysis skill for statistical summaries, missing value detection, data type inference, and memory optimization recommendations.
a5c-ai/babysitter 514
pytest-ml-tester ML-specific testing skill using pytest with fixtures for data, models, and predictions.
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
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
lime-explainer LIME-based local explanation skill for individual predictions across tabular, text, and image data.
a5c-ai/babysitter 514
ray-distributed-trainer Distributed computing skill using Ray for parallel training, hyperparameter search, and resource management.
a5c-ai/babysitter 514