# DataRobot agentic skills > DataRobot agentic skills - Learn how to use DataRobot agentic skills to enhance your AI agent's > capabilities. This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context. Companion generated at `2026-04-24T16:03:56.225810+00:00` (UTC). ## Primary page - [DataRobot agentic skills](https://docs.datarobot.com/en/docs/agentic-ai/agentic-develop/agentic-skills.html): Full documentation for this topic (HTML). ## Sections on this page - [Quick start](https://docs.datarobot.com/en/docs/agentic-ai/agentic-develop/agentic-skills.html#quick-start): In-page section heading. - [How do skills work?](https://docs.datarobot.com/en/docs/agentic-ai/agentic-develop/agentic-skills.html#how-do-skills-work): In-page section heading. - [Installation to your coding agent](https://docs.datarobot.com/en/docs/agentic-ai/agentic-develop/agentic-skills.html#installation-to-your-coding-agent): In-page section heading. - [Claude Code](https://docs.datarobot.com/en/docs/agentic-ai/agentic-develop/agentic-skills.html#claude-code): In-page section heading. - [Codex](https://docs.datarobot.com/en/docs/agentic-ai/agentic-develop/agentic-skills.html#codex): In-page section heading. - [Gemini CLI](https://docs.datarobot.com/en/docs/agentic-ai/agentic-develop/agentic-skills.html#gemini-cli): In-page section heading. - [Cursor](https://docs.datarobot.com/en/docs/agentic-ai/agentic-develop/agentic-skills.html#cursor): In-page section heading. - [VS Code Copilot (GitHub Copilot)](https://docs.datarobot.com/en/docs/agentic-ai/agentic-develop/agentic-skills.html#vscode-copilot): In-page section heading. - [Skills](https://docs.datarobot.com/en/docs/agentic-ai/agentic-develop/agentic-skills.html#skills): In-page section heading. - [Available skills](https://docs.datarobot.com/en/docs/agentic-ai/agentic-develop/agentic-skills.html#available-skills): In-page section heading. - [Using skills in your coding agent](https://docs.datarobot.com/en/docs/agentic-ai/agentic-develop/agentic-skills.html#using-skills-in-your-coding-agent): In-page section heading. - [Helper scripts](https://docs.datarobot.com/en/docs/agentic-ai/agentic-develop/agentic-skills.html#helper-scripts): In-page section heading. - [Additional references](https://docs.datarobot.com/en/docs/agentic-ai/agentic-develop/agentic-skills.html#additional-references): In-page section heading. ## Related documentation - [Agentic AI](https://docs.datarobot.com/en/docs/agentic-ai/index.html): Linked from this page. - [Build](https://docs.datarobot.com/en/docs/agentic-ai/agentic-develop/index.html): Linked from this page. - [DataRobot Python SDK documentation](https://docs.datarobot.com/en/docs/api/dev-learning/python/index.html): Linked from this page. ## Documentation content # DataRobot agentic skills This overview details the skills available in the [DataRobot Agentic Skills repository](https://github.com/datarobot-oss/datarobot-agent-skills). Agentic skills are modular, task-specific capability packages that help an AI agent move from general reasoning to reliable execution. Each skill bundles instructions, examples, and supporting resources so that the agent can load only what it needs for the current task, reducing context overload and improving tool use within a given workflow. DataRobot skills are Agent Context Protocol (ACP) definitions for enterprise AI and agent workflows, including building, deploying, and governing agents, as well as AI/ML tasks such as model training, deployment, predictions, feature engineering, and monitoring. They work with major coding agents, including OpenAI Codex, Anthropic Claude Code, Google Gemini CLI, Cursor, and VS Code Copilot. > [!NOTE] Skills nomenclature > "Skills" is an Anthropic term used in Claude AI and Claude Code, but the concept applies more broadly. OpenAI Codex uses `AGENTS.md` to define agent instructions, and Gemini uses `gemini-extension.json` for extensions. This repository is compatible with all of them, and more. ## Quick start Install all DataRobot skills, or only the ones you need, for all your AI agents with one command by using the [universal skills installer](https://github.com/skillcreatorai/Ai-Agent-Skills). For all skills: ``` npx ai-agent-skills install datarobot-oss/datarobot-agent-skills ``` For a specific skill: ``` npx ai-agent-skills install datarobot-oss/datarobot-agent-skills/datarobot-predictions ``` For a specific agent: ``` npx ai-agent-skills install datarobot-oss/datarobot-agent-skills --agent cursor npx ai-agent-skills install datarobot-oss/datarobot-agent-skills --agent claude ``` > [!NOTE] Default behavior > By default, the installer copies skills to all supported agents at the same time. No configuration is required. > For agent-specific installation methods, see the [Installation to your coding agent](https://docs.datarobot.com/en/docs/agentic-ai/agentic-develop/agentic-skills.html#installation-to-your-coding-agent) section below. ### How do skills work? Skills are self-contained folders that package instructions, scripts, and resources for a specific use case. Each folder includes a `SKILL.md` file with YAML frontmatter ( `name` and `description`), followed by the guidance your coding agent uses while the skill is active. > [!NOTE] Skill naming convention > All DataRobot skills follow the naming convention `datarobot-`, where `` describes the skill's focus area. This provides clear identification of DataRobot-specific skills, consistent naming across the skill library, and easy discovery and organization. ### Installation to your coding agent DataRobot skills are compatible with Claude Code, Codex, Gemini CLI, Cursor, and VS Code Copilot. Refer to the section below that corresponds to your coding agent to see the installation instructions. #### Claude Code Register the repository as a plugin marketplace: ``` /plugin marketplace add datarobot-oss/datarobot-agent-skills ``` To install a skill, run: ``` /plugin install @datarobot-skills ``` For example: ``` /plugin install datarobot-model-training@datarobot-skills ``` #### Codex Codex identifies the skills through the `AGENTS.md` file. You can verify that the instructions are loaded by running: ``` codex --ask-for-approval never "Summarize the current instructions." ``` For more details, see the [CodexAGENTS.md](https://developers.openai.com/codex/guides/agents-md) documentation. #### Gemini CLI This repository includes `gemini-extension.json` for Gemini CLI integration. Install locally: ``` gemini extensions install . --consent ``` Or install from the GitHub URL: ``` gemini extensions install https://github.com/datarobot-oss/datarobot-agent-skills.git --consent ``` See the [Gemini CLI extensions](https://geminicli.com/docs/extensions/) documentation for more information. #### Cursor Cursor can automatically detect and use skills from this repository in two main ways: Option 1: Use `AGENTS.md` > NOTE: This option is the recommended approach. When you open this repository as your workspace, Cursor automatically reads the `AGENTS.md` file. The skills are available immediately without additional configuration. To verify that the skills are loaded: 1. Open Cursor in this repository. 2. Open the AI chat panel ( Cmd/Ctrl + L ). 3. Ask: "What DataRobot skills are available?" Option 2: Use `.cursorrules` You can also reference specific skills in your `.cursorrules` file to make sure they are always loaded: ``` # .cursorrules You have access to DataRobot skills in this repository. Available skills (in datarobot-* folders): - datarobot-model-training: Model training and project creation - datarobot-predictions: Making predictions and generating templates - datarobot-model-deployment: Deploying and managing models - datarobot-feature-engineering: Feature analysis and engineering - datarobot-model-monitoring: Model performance monitoring - datarobot-model-explainability: Model explainability and diagnostics - datarobot-data-preparation: Data upload and validation When asked to use a DataRobot skill, read the corresponding SKILL.md file for detailed guidance. ``` Using skills in Cursor: - "Use the datarobot-predictions skill to generate a template for deployment abc123" - "Follow the datarobot-model-training skill to create a new project" - "Check the datarobot-model-monitoring skill to analyze data drift" #### VS Code Copilot (GitHub Copilot) VS Code with GitHub Copilot can automatically detect and use skills from this repository through the `AGENTS.md` file. Setup: 1. Open this repository in VS Code. 2. Ensure that the GitHub Copilot extension is installed and activated. 3. Skills are automatically available through the AGENTS.md file. Verify that the skills are loaded: Open Copilot Chat ( `Cmd/Ctrl + I`) and ask: - "What DataRobot skills are available?" - "List the available skills in this repository" Using skills in VS Code Copilot: In Copilot Chat, reference skills naturally: - "Use the datarobot-predictions skill to generate a template for deployment abc123" - "Following the datarobot-model-training skill, create a new project for customer churn prediction" - "Check the datarobot-model-monitoring skill and help me analyze data drift" > [!TIP] Tip > You can also use the `@workspace` agent in Copilot Chat to give it full context about the repository and available skills. ## Skills This repository contains skills for common DataRobot workflows. You can also contribute your own skills. ### Available skills | Skill Folder | Description | Documentation | | --- | --- | --- | | skills/datarobot-model-training/ | Instructions and utilities for training models, managing projects, and running AutoML experiments. | SKILL.md | | skills/datarobot-model-deployment/ | Tools for deploying models, managing deployments, and configuring prediction environments. | SKILL.md | | skills/datarobot-predictions/ | Guidance for making predictions, batch scoring, real-time predictions, and generating prediction datasets. | SKILL.md | | skills/datarobot-feature-engineering/ | Instructions for feature engineering, feature discovery, and feature importance analysis. | SKILL.md | | skills/datarobot-model-monitoring/ | Tools for monitoring model performance, tracking data drift, and managing model health. | SKILL.md | | skills/datarobot-model-explainability/ | Tools for model explainability, prediction explanations, SHAP values, and model diagnostics. | SKILL.md | | skills/datarobot-data-preparation/ | Utilities for data upload, dataset management, and data validation. | SKILL.md | | skills/datarobot-app-framework-cicd/ | Set up CI/CD pipelines for DataRobot application templates with GitLab and GitHub Actions. | SKILL.md | ## Using skills in your coding agent Once a skill is installed, mention it directly in your instructions to the coding agent: - "Use the DataRobot model training skill to create a new project and start AutoML training." - "Use the DataRobot predictions skill to generate a prediction dataset template for deployment abc123." - "Use the DataRobot feature engineering skill to analyze feature importance for my model." - "Use the DataRobot model monitoring skill to check data drift for deployment xyz789." Your coding agent automatically loads the corresponding `SKILL.md` instructions and any helper scripts it needs while completing the task. ### Helper scripts Some skills include helper scripts that an agent can run directly: - datarobot-predictions : get_deployment_features.py , generate_prediction_data_template.py , validate_prediction_data.py , make_prediction.py - datarobot-model-training : create_project.py , start_training.py , list_models.py - datarobot-data-preparation : upload_dataset.py These scripts are located in each skill's `scripts/` directory and can be executed directly or used as references when writing code. ## Additional references - Browse the latest instructions, scripts, and templates at datarobot-oss/datarobot-agent-skills . - Review the DataRobot documentation for the libraries and workflows referenced in each skill. - See the DataRobot Python SDK documentation for API reference.