build-ui

Orchestrate Kumo UI ticket work from GitHub issue analysis through implementation, validation, and optional PR creation.

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Repository: NVIDIA/kumo-engine
Last source activity: October 9, 2026 at 00:32
Detected SKILL.md language: English
Stars: 38
Forks: 8

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name	build-ui
description	Orchestrate Kumo UI ticket work from GitHub issue analysis through implementation, validation, and optional PR creation.

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kumo-data-science

Use for any work with KumoAI predictive models on relational data in a warehouse, an object store or local files: train a model, score data with a trained one, or answer questions about an existing model or run — explain its predictions, diagnose its training, publish, reload or retain it, train or score on custom labels or rows, or tune it. Covers churn, propensity, fraud, recommendation, forecasting and link prediction. For a new model it checks that the request names the data (a schema, dataset, folder of files, connector, semantic view or metric view), the outcome and the time window, confirms the inferred tables and the task, then generates one notebook or script; it runs it only when asked, in the notebook or as a host job (a Snowflake ML Job, a Databricks job).

2026-10-29

kumoai-reference

Reference for translating a validated ML request into KumoAI graph configuration, PQL (predictive query language), and Kumo Predict SDK code. Normally loaded by the kumo-data-science skill after its intake checks pass, rather than invoked directly. Triggers: kumo graph, PQL, predictive query, kumo.Table, kumo.Graph, kumo.Trainer, kumo sdk.

2026-10-29

kumo-model-explanations

Inspect and interpret gradient attribution (including requests called radiant attribution), column analysis and sampled explanation subgraphs from a Kumo model trained in a Python notebook. Locate the correct run's explanation artifacts, explain feature scores and cohorts, and identify missing or unsupported explanations without automatically retraining.

2026-10-28

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