AI tools for “ui”

Build and operate Domino UI Extensions (mount a published Domino App at a Domino UI mount point with page context). Covers extension_manifest.json, the official installer versus the manual Extensions API, App publish…

…variables, Pluggable Workspace Tools, revisions and build propagation, requirements.txt versus preloaded packages, the environments REST API, and build troubleshooting. Use when installing dependencies, adding…

…and execution environments, attaching a cluster from the UI or the Jobs API (computeCluster), connecting from code, autoscaling, cluster web UIs and lifecycle, and troubleshooting. Use when processing large datasets,…

…port, localhost binding, absolute base paths, a hand-built URL prefix instead of DOMINO_RUN_HOST_PATH, BrowserRouter deep links, missing build steps, or a model token compiled into the browser bundle. Use when a…

…DFS Projects, /mnt/data/<name> in Git-based Projects), the UI and domino CLI steps, and the /api/datasetrw REST routes with request bodies, including how to read a snapshot you just took from the same run. Use whenever…

…EFS, SMB or S3 volume, or which of these options fits a…

…stats; create or iterate container artifacts; build images server-side; lock artifacts for production; zero-downtime rolling artifact…

Tools and guidance for making predictions with DataRobot deployments, including real-time predictions, batch scoring, prediction dataset generation, and prediction explanations (SHAP/XEMP). Use when making predictions,…

Comprehensive guidance for training models in DataRobot, including project creation, AutoML configuration, feature engineering, and model selection. Use when training models, creating AutoML projects, or selecting…

Tools and guidance for monitoring model performance, tracking data drift, managing model health, and detecting prediction anomalies. Use when monitoring deployed models, tracking drift, or investigating prediction…

Tools and guidance for model explainability, prediction explanations, feature impact analysis, SHAP values, SHAP distributions, anomaly assessment, and model diagnostics. Use when analyzing model explanations, feature…

Tools and guidance for deploying DataRobot models, managing deployments, configuring prediction environments, and deployment operations. Use when deploying models, creating or updating deployments, or configuring…

…wants to assess whether an AI agent repository (DataRobot-built or not) is enterprise-ready, run a gap analysis / readiness scan against security, governance, reliability, or regulatory standards, score an agent…

Guidance for feature engineering, feature discovery, feature importance analysis, and understanding DataRobot's automated feature engineering capabilities. Use when working with feature engineering, feature discovery,…

Tools and guidance for data upload, dataset management, data validation, and preparing data for DataRobot projects. Use when uploading datasets, managing data, or validating data for DataRobot.

…Creating a connection happens in the DataRobot…

Use when the user wants to design, build, code, or deploy an AI agent on DataRobot; mentions agent_spec.yaml, dress rehearsal, the DataRobot agent template, LangGraph, CrewAI, LlamaIndex, NAT, Base agents, MCP servers,…

Use when the user wants to design, build, code, simulate, or deploy an AI agent (not a predictive model) to DataRobot; mentions agent_spec.yaml, dr-assist, datarobot-agent-assist, dress rehearsal, swarm simulation, or…

…disclosure, or should be chunked without changing…

…Datadog data-domain skill directs you to visualization guidance. This is the plugin's local copy of the `datadog/visualizations` server skill; prefer it over fetching the server…