> ## Documentation Index
> Fetch the complete documentation index at: https://docs.domino.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Domino Skills

Domino Skills extend coding assistants with platform-specific actions. Inside a Domino workspace, your agent automatically gains access to specific skills, including running jobs, registering models, tracking experiments, deploying apps, and more.

<Note>
  Domino Skills are currently optimized for Claude Code. They might not work out of the box with other coding agents.
</Note>

## How skills work

Skills load automatically when a coding assistant starts inside a Domino workspace. The agent detects the Domino project and loads available skills from the [domino-claude-plugin](https://github.com/dominodatalab/domino-claude-plugin).

You don’t need to install or configure skills manually. To use a skill, reference the skill by name when prompting your agent. For example:

```
Use the modeling assistant skill. Analyze the dataset in this project
and train a few models to predict diabetes.
```

The agent will activate the skill and begin working with full access to Domino platform resources.

## Available skills

The following skills are included in the Domino Standard Environment:

### Development & modeling

| Skill                       | Description                                                   |
| --------------------------- | ------------------------------------------------------------- |
| **modeling-assistant**      | AI-assisted model development with MCP servers                |
| **experiment-tracking**     | Track ML experiments using MLflow-based Experiment Manager    |
| **domino-experiment-setup** | Set up MLflow experiment tracking for traditional ML          |
| **environments**            | Create and customize Domino Compute Environments              |
| **workspaces**              | Manage interactive development environments                   |
| **projects**                | Work with Domino Projects, Git integration, and collaboration |

### Jobs & orchestration

| Skill                     | Description                                                    |
| ------------------------- | -------------------------------------------------------------- |
| **jobs**                  | Create, run, and manage Domino Jobs                            |
| **flows**                 | Orchestrate multi-step ML workflows using Domino Flows (Flyte) |
| **launchers**             | Create parameterized web forms for self-service job execution  |
| **distributed-computing** | Work with Spark, Ray, and Dask clusters                        |

### Data

| Skill                 | Description                                              |
| --------------------- | -------------------------------------------------------- |
| **datasets**          | Work with Domino Datasets for versioned storage          |
| **data-connectivity** | Connect to external data sources such as S3, Azure, etc. |
| **domino-data-sdk**   | Use domino-data SDK for data access and Feature Store    |

### Deployment & monitoring

| Skill                | Description                                               |
| -------------------- | --------------------------------------------------------- |
| **model-endpoints**  | Deploy and monitor model API endpoints                    |
| **model-monitoring** | Monitor deployed models with drift detection and alerting |
| **app-deployment**   | Deploy web applications to Domino                         |

### GenAI & LLM

| Skill                  | Description                                             |
| ---------------------- | ------------------------------------------------------- |
| **ai-gateway**         | Access external LLM providers through Domino AI Gateway |
| **genai-tracing**      | Trace and evaluate GenAI applications and agents        |
| **domino-trace-setup** | Set up GenAI tracing for agents and LLM applications    |

### Applications & SDK

| Skill                  | Description                                                                         |
| ---------------------- | ----------------------------------------------------------------------------------- |
| **domino-app-init**    | Initialize new Domino-ready web apps such as Vite+React, Streamlit, Dash, and Flask |
| **domino-ui-design**   | Build Domino-styled web apps matching the Domino Design System                      |
| **python-sdk**         | Programmatically interact with Domino using python-domino SDK                       |
| **domino-debug-proxy** | Debug Domino proxy and routing issues for web applications                          |

## Use skills in practice

When you ask your coding agent to perform a Domino-specific task, the agent selects and activates the appropriate skill. For example:

* *"Train a model on the diabetes dataset and track the experiment"* activates the **modeling-assistant** and **experiment-tracking** skills.

* *"Deploy this model as an API endpoint"* activates the **model-endpoints** skill.

* *"Create a Streamlit app for this project"* activates the **domino-app-init** skill.

* *"Set up a Spark cluster and run this distributed job"* activates the **distributed-computing** skill.

[Modeling assistant walkthrough](/cloud/solution-guides/coding-assistants/modeling-assistant) has a complete example of the modeling-assistant skill in action.

## Next steps

* [Get started](/cloud/solution-guides/coding-assistants/get-started): Launch a workspace and authenticate your coding agent.

* [Modeling assistant walkthrough](/cloud/solution-guides/coding-assistants/modeling-assistant): An end-to-end demo of data analysis, model training, and comparison using skills.