zenml-io/skills

Profil zenml-io

Dernière activité source enregistrée: 9 septembre 2026 à 18:43

Catalogue SkillsMP mis à jour: 17 octobre 2026 à 00:09

skills collectés: 14

Étoiles GitHub: 6
Forks GitHub: 0

README du dépôt

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# ZenML Agent Skills Modular AI coding agent skills for ZenML workflows. Add the marketplace to your AI coding tool and install skills that guide you through implementing ZenML features. <img width="991" height="973" alt="Screenshot of the quick wins skill in action inside Claude Code" src="https://github.com/user-attachments/assets/a6e54013-3033-41fd-abfa-e29d7b324e32" /> ## Quick Start ### Claude Code ```bash # Add the ZenML skills marketplace /plugin marketplace add zenml-io/skills # Install a skill (e.g. quick-wins) /plugin install zenml-quick-wins@zenml # Use it — navigate to your ZenML project and run: /zenml-quick-wins ``` [Plugin docs](https://code.claude.com/docs/en/plugins) · [Marketplace docs](https://code.claude.com/docs/en/plugin-marketplaces) ### OpenAI Codex CLI Ask the built-in skill installer to fetch skills from this repo: ``` $skill-installer install the zenml skills from github.com/zenml-io/skills ``` [Codex skills docs](https://developers.openai.com/codex/skills#install-skills) ### Cursor 1. Open **Cursor Settings** (`Cmd+Shift+J` / `Ctrl+Shift+J`) 2. Navigate to **Rules** → **Project Rules** → **Add Rule** 3. Choose **Remote Rule (GitHub)** and enter `https://github.com/zenml-io/skills` [Cursor skills docs](https://cursor.com/docs/context/skills#installing-skills-from-github) ## Available Skills ### Core Skills | Skill | Description | Install | |-------|-------------|---------| | `zenml-quick-wins` | Analyze your setup, recommend high-impact improvements, and implement features like metadata logging, experiment tracking, alerts, schedules/triggers, streaming events, and model governance | `/plugin install zenml-quick-wins@zenml` | | `zenml-scoping` | Scope and decompose ML workflow ideas into realistic ZenML architectures, including pipelines, deployments, resources, and streaming boundaries | `/plugin install zenml-scoping@zenml` | | `zenml-pipeline-authoring` | Author ZenML pipelines with steps, artifacts, caching, Docker and resource settings, orchestrator settings, materializers, metadata, secrets, deployments, streaming events, YAML config, and visualizations | `/plugin install zenml-pipeline-authoring@zenml` | ### Migration Skills These skills are best used when you already have real source material from another workflow system — code, YAML, JSON job specs, pipeline definitions, or project config — and you want help translating it into **idiomatic ZenML** rather than doing a superficial syntax swap. A few important caveats: - They classify source concepts as **direct**, **approximate**, or **unsupported** rather than pretending every platform feature has a safe 1:1 ZenML equivalent. - They are most helpful when you can provide the actual workflow code/config, not just a vague description. - Some migrations will be **partial by design**: the skill may generate working ZenML code for the cleanly mappable parts and a migration report for the pieces that need redesign. - After a migration, the best follow-up is usually `zenml-quick-wins` for production improvements and `zenml-pipeline-authoring` for deeper customization. | Skill | Description | Install | |-------|-------------|---------| | `zenml-airflow-migration` | Migrate Apache Airflow DAGs to idiomatic ZenML pipelines with concept mapping, code translation, severity-classified flagging, and redesign suggestions | `/plugin install zenml-airflow-migration@zenml` | | `zenml-argo-migration` | Migrate Argo Workflows to idiomatic ZenML pipelines with concept mapping, code translation, Kubernetes-native pattern flagging, and redesign guidance | `/plugin install zenml-argo-migration@zenml` | | `zenml-databricks-migration` | Migrate Databricks Workflows (Lakeflow Jobs) to idiomatic ZenML pipelines with notebook refactoring, concept mapping, code translation, and unsupported pattern flagging | `/plugin install zenml-databricks-migration@zenml` | | `zenml-prefect-migration` | Migrate Prefect flows and workflows to idiomatic ZenML pipelines with concept mapping, dynamic-execution analysis, code translation, and unsupported pattern flagging | `/plugin install zenml-prefect-migration@zenml` | | `zenml-vertexai-migration` | Migrate Vertex AI Pipelines (KFP v2 / PipelineJob workflows) to idiomatic ZenML pipelines with concept mapping, artifact-contract translation, GCPC rewrite guidance, and unsupported pattern flagging | `/plugin install zenml-vertexai-migration@zenml` | | `zenml-azureml-migration` | Migrate Azure Machine Learning SDK v2 pipelines to idiomatic ZenML pipelines with concept mapping, Azure-aware compute translation, code patterns, and unsupported pattern flagging | `/plugin install zenml-azureml-migration@zenml` | | `zenml-dagster-migration` | Migrate Dagster assets, ops, jobs, and asset-graph workflows to idiomatic ZenML pipelines with concept mapping, pipeline-boundary planning, code translation, and unsupported pattern flagging | `/plugin install zenml-dagster-migration@zenml` | | `zenml-flyte-migration` | Migrate Flyte workflows, tasks, and LaunchPlans to idiomatic ZenML pipelines with concept mapping, special-type planning, code translation, and unsupported pattern flagging | `/plugin install zenml-flyte-migration@zenml` | | `zenml-kedro-migration` | Migrate Kedro pipelines and projects to idiomatic ZenML pipelines with Data Catalog to artifact translation, concept mapping, code translation, and unsupported pattern flagging | `/plugin install zenml-kedro-migration@zenml` | | `zenml-metaflow-migration` | Migrate Metaflow flows to idiomatic ZenML pipelines with FlowSpec mapping, artifact translation, control-flow redesign notes, and unsupported pattern flagging | `/plugin install zenml-metaflow-migration@zenml` | | `zenml-sagemaker-migration` | Migrate Amazon SageMaker Pipelines to idiomatic ZenML pipelines with concept mapping, artifact-model rewrites, runtime-setting translation, and unsupported pattern flagging | `/plugin install zenml-sagemaker-migration@zenml` | ## Coming Soon - **Debugging** — Investigate pipeline failures and performance issues ## Combine with MCP Servers For the best AI-assisted ZenML experience, pair skills with MCP servers: ```bash # Add ZenML docs MCP (Claude Code) claude mcp add zenmldocs --transport http https://docs.zenml.io/~gitbook/mcp ``` This gives your AI assistant both **structured workflows** (skills) and **doc-grounded answers** (MCP). ## Learn More - [ZenML Documentation](https://docs.zenml.io) - [LLM Tooling Reference](https://docs.zenml.io/reference/llms-txt) — Full guide to MCP servers, llms.txt, and skills

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Skills dans ce dépôt

Développeurs de logiciels Spécialistes en gestion de projets

2 catégories métier · 100% classifié

Développeurs de logiciels

Migrate Vertex AI Pipelines (Kubeflow Pipelines v2 / PipelineJob workflows) to idiomatic ZenML pipelines. Handles concept mapping (`@dsl.pipeline` -> `@pipeline`, `@dsl.component` -> `@step`, `PipelineJob.create_schedule(...)` -> `Schedule(...)`),…

Langue du texte source : anglais

2026-06-03

Affichage de 14 skills collectés sur 14.

Installer avec un assistant IA

Copiez ce prompt dans l’assistant IA que vous utilisez.

Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/zenml-io/skills.