zenml-io

zenml-io/zenml

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Project-wide commenting policy — explain WHY the code is the way it is; avoid change-log comments.

zenml-io/zenml

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How to understand, add or modify ZenML domain models.

zenml-io/zenml

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How to understand, add or update ZenML ORM schemas.

zenml-io/mcp-zenml

MCP server Claude CodeCodexCursor +2

MCP server "mcp-zenml" as configured in zenml-io/mcp-zenml. Runs in Docker (docker.io/zenmldocker/mcp-zenml:2.0.0). Needs 4 environment variables to run.

zenml-io/skills

Skill Claude CodeCodex

Migrate Apache Airflow DAGs, operators, and workflows to idiomatic ZenML pipelines. Handles concept mapping (DAG→pipeline, operator→step, XCom→artifact), code translation, scheduling, retry config, Docker settings, and flags unsupported patterns (trigger rules, sensors, dynamic task mapping) for human review. Use this…

zenml-io/skills

Skill Claude CodeCodex

Migrate Argo Workflows, WorkflowTemplates, ClusterWorkflowTemplates, and CronWorkflows to idiomatic ZenML pipelines. Handles concept mapping, YAML-to-Python translation, scheduling, retries, Kubernetes-native pattern analysis, and flags unsupported patterns such as status-based depends logic, shared volumes…

zenml-io/skills

Skill Claude CodeCodex

Migrate Azure Machine Learning SDK v2 pipelines, components, environments, and schedules to idiomatic ZenML pipelines. Handles concept mapping (@pipeline -> @pipeline, @commandcomponent -> @step, Environment(...) -> DockerSettings(...), AzureML compute -> AzureMLOrchestratorSettings), code translation, Azure-aware…

zenml-io/skills

Skill Claude CodeCodex

Migrate Dagster assets, ops, graphs, jobs, and software-defined asset workflows to idiomatic ZenML pipelines. Handles concept mapping (asset->step output, job->pipeline, IOManager->artifact store/materializer + explicit IO steps), asset-boundary planning, code translation, scheduling, retry config, resources/config…

zenml-io/skills

Skill Claude CodeCodex

Migrate Databricks Workflows (Lakeflow Jobs) to idiomatic ZenML pipelines. Handles concept mapping (Job->pipeline, Task->step, task values->artifact), notebook refactoring, code translation for all Databricks task types (notebooktask, pythonwheeltask, sqltask, dbttask, conditiontask, foreachtask, runjobtask…

zenml-io/skills

Skill Claude CodeCodex

Migrate Flyte workflows, tasks, LaunchPlans, and Flytekit code to idiomatic ZenML pipelines. Handles concept mapping (@task->@step, @workflow->@pipeline, maptask()->dynamic .map(), conditional()->dynamic branching, LaunchPlan->schedule/config split), code translation, special-type migration (FlyteFile, FlyteDirectory…

zenml-io/skills

Skill Claude CodeCodex

Migrate Kedro pipelines and projects to idiomatic ZenML pipelines. Handles concept mapping (node->step, Pipeline->pipeline, Data Catalog->explicit boundary steps plus artifacts, params:->typed parameters), catalog analysis, code translation, hooks/runners/deployment mapping, and flags unsupported patterns…

zenml-io/skills

Skill Claude CodeCodex

Migrate Metaflow flows and Outerbounds-flavored Metaflow projects to idiomatic ZenML pipelines. Handles concept mapping (FlowSpec->pipeline, @step->@step, self. artifacts->explicit returns and inputs), code translation for Parameters, IncludeFile, Config, self.next transitions, branch/join, foreach, scheduling…

zenml-io/skills

Skill Claude CodeCodex

Author ZenML pipelines: @step/@pipeline decorators, type hints, multi-output steps, dynamic vs static pipelines, artifact data flow, ExternalArtifact, YAML configuration, step caching (enablecache at pipeline, step, and YAML level), DockerSettings and ResourceSettings for remote execution, orchestrator settings for…

zenml-io/skills

Skill Claude CodeCodex

Migrate Prefect flows, tasks, and deployment patterns to idiomatic ZenML pipelines. Handles concept mapping (@flow→@pipeline, @task→@step, result persistence→artifacts), dynamic-execution analysis, code translation, scheduling, retries, Blocks/secrets decomposition, and flags unsupported patterns (allowfailure()…

zenml-io/skills

Skill Claude CodeCodex

Implements ZenML quick wins to enhance MLOps workflows. Investigates codebase and stack configuration, recommends high-priority improvements, and implements metadata logging, experiment tracking, alerts, scheduling, secrets management, tags, git hooks, HTML reports, Model Control Plane setup, live streaming events…

zenml-io/skills

Skill Claude CodeCodex

Migrate Amazon SageMaker Pipelines and workflow code to idiomatic ZenML pipelines. Handles concept mapping (Pipeline->@pipeline, ProcessingStep/TrainingStep->@step, PropertyFile/JsonGet->artifacts), code translation, SagemakerOrchestratorSettings mapping, scheduling, model-registration strategy, and flags unsupported…

zenml-io/skills

Skill Claude CodeCodex

Scope and decompose ML workflow ideas into realistic ZenML pipeline architectures. Runs an in-depth interview to help users break down ambitious or over-engineered plans into well-composed multi-pipeline setups, identify what belongs in a pipeline vs. what doesn't, define cross-pipeline data flow via the Model Control…

zenml-io/skills

Skill Claude CodeCodex

Migrate Vertex AI Pipelines (Kubeflow Pipelines v2 / PipelineJob workflows) to idiomatic ZenML pipelines. Handles concept mapping (@dsl.pipeline -> @pipeline, @dsl.component -> @step, PipelineJob.createschedule(...) -> Schedule(...)), artifact-contract translation (Input[Dataset], InputPath, .uri, .path), Google Cloud…

zenml-io/kitaru-skills

Plugin Claude Code

Bundles 8 skills · 785 tokens together

Experience Kitaru through hosted onboarding or a public tour, build integrations, investigate sessions, and run bounded replay experiments and evaluator validation.