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Tooling to apply and update App Framework components.

Which skill pack?

DataRobot publishes two skill packs for coding assistants. They share words like "agent," "deployment," and "DataRobot," but target different workflows — install the pack that matches your task (you can install both).

You want to… Skill pack Install
Build or deploy App Framework recipes (Studio): af-component-*, dr component add, uvx copier copy, LLM Gateway, CrewAI/LangGraph/LlamaIndex agents, Custom Applications (dr task deploy) This repository (App Framework Studio) npx ai-agent-skills install datarobot-community/app-framework
Tabular ML on the DataRobot platform: AutoML training, model deployments for predictions, batch scoring, feature engineering, drift monitoring, SHAP / explainability datarobot-agent-skills (OSS ML pack) npx ai-agent-skills install datarobot-oss/datarobot-agent-skills

In this pack, agent means an LLM agentic app in a recipe; deployment means a Custom Application. In the OSS pack, deployment usually means an ML model deployment for predictions.

Installing skills

Install all skills from this repository into your AI agent using ai-agent-skills:

npx ai-agent-skills install datarobot-community/app-framework

Components

Component Description
af-component-base Task runner, Pulumi project, CI/CD, .datarobot/ config.
af-component-fastapi-backend FastAPI server and Custom App deployment.
af-component-react React frontend.
af-component-llm LLM Gateway / external model integration.
af-component-agent Agentic workflows (CrewAI, LangGraph, LlamaIndex).
af-component-datarobot-mcp FastMCP server with DataRobot predictive tools and third-party integrations.

Development

See the Developer Guide for setup instructions, running docs locally, and using copier-watch to iterate on component templates.

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Framework for creating and updating App Templates

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