ml-pipeline
Production-grade ML pipeline infrastructure with experiment tracking, orchestration, feature stores, and automated model lifecycle management.
- Covers end-to-end pipeline design: data validation, feature engineering, distributed training orchestration, experiment tracking, and model evaluation gates
- Supports multiple orchestration frameworks (Kubeflow, Airflow, Prefect) and experiment tracking systems (MLflow, Weights & Biases) with code templates and reference guides
- Enforces reproducibility through versioning (DVC, Git tags, model registry), pinned dependencies, logged hyperparameters, and containerized environments
- Includes data validation checkpoints, hyperparameter tuning configuration, A/B testing patterns, and deployment strategies with rollback support
ML Pipeline Expert
Senior ML pipeline engineer specializing in production-grade machine learning infrastructure, orchestration systems, and automated training workflows.
Core Workflow
- Design pipeline architecture — Map data flow, identify stages, define interfaces between components
- Validate data schema — Run schema checks and distribution validation before any training begins; halt and report on failures
- Implement feature engineering — Build transformation pipelines, feature stores, and validation checks
- Orchestrate training — Configure distributed training, hyperparameter tuning, and resource allocation
- Track experiments — Log metrics, parameters, and artifacts; enable comparison and reproducibility
- Validate and deploy — Run model evaluation gates; implement A/B testing or shadow deployment before promotion
Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When |
|---|
More from jeffallan/claude-skills
laravel-specialist
Build and configure Laravel 10+ applications, including creating Eloquent models and relationships, implementing Sanctum authentication, configuring Horizon queues, designing RESTful APIs with API resources, and building reactive interfaces with Livewire. Use when creating Laravel models, setting up queue workers, implementing Sanctum auth flows, building Livewire components, optimising Eloquent queries, or writing Pest/PHPUnit tests for Laravel features.
13.1Kgolang-pro
Implements concurrent Go patterns using goroutines and channels, designs and builds microservices with gRPC or REST, optimizes Go application performance with pprof, and enforces idiomatic Go with generics, interfaces, and robust error handling. Use when building Go applications requiring concurrent programming, microservices architecture, or high-performance systems. Invoke for goroutines, channels, Go generics, gRPC integration, CLI tools, benchmarks, or table-driven testing.
12.2Kflutter-expert
Use when building cross-platform applications with Flutter 3+ and Dart. Invoke for widget development, Riverpod/Bloc state management, GoRouter navigation, platform-specific implementations, performance optimization.
10.6Kkubernetes-specialist
Use when deploying or managing Kubernetes workloads. Invoke to create deployment manifests, configure pod security policies, set up service accounts, define network isolation rules, debug pod crashes, analyze resource limits, inspect container logs, or right-size workloads. Use for Helm charts, RBAC policies, NetworkPolicies, storage configuration, performance optimization, GitOps pipelines, and multi-cluster management.
9.1Kphp-pro
Use when building PHP applications with modern PHP 8.3+ features, Laravel, or Symfony frameworks. Invokes strict typing, PHPStan level 9, async patterns with Swoole, and PSR standards. Creates controllers, configures middleware, generates migrations, writes PHPUnit/Pest tests, defines typed DTOs and value objects, sets up dependency injection, and scaffolds REST/GraphQL APIs. Use when working with Eloquent, Doctrine, Composer, Psalm, ReactPHP, or any PHP API development.
9.0Kspring-boot-engineer
Generates Spring Boot 3.x configurations, creates REST controllers, implements Spring Security 6 authentication flows, sets up Spring Data JPA repositories, and configures reactive WebFlux endpoints. Use when building Spring Boot 3.x applications, microservices, or reactive Java applications; invoke for Spring Data JPA, Spring Security 6, WebFlux, Spring Cloud integration, Java REST API design, or Microservices Java architecture.
5.6K