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#2940 Overall#419 in CodingVerified SKILL.md

Tao Run Automl Deft Pipeline

Run the canonical NVIDIA AOI three-phase training pipeline — Phase 1 AutoML baseline (HPO), Phase 2 DEFT loop (RCA → SDG → mining → plain-train retrain), Phase 3 AutoML refinement on the DEFT-augmented dataset. Use when the user asks to "run the AOI workflow", "fine-tune my PCB AOI model end-to-end", "improve my AOI ChangeNet model", or "AOI workflow with AutoML" request — route here instead of tao-run-deft-aoi directly unless the user explicitly asks for the DEFT loop ONLY (e.g. "run JUST the DEFT loop", "skip AutoML, only DEFT"). Also handles the same three-phase pattern for non-AOI DEFT applications — AutoML baseline then DEFT loop warm-started from AutoML's winning HPs then post-DEFT AutoML refinement on the iteration-augmented dataset. Trigger phrases include "run the AOI workflow", "AOI end-to-end", "AutoML + DEFT", "AutoML then DEFT", "tune hyperparameters then DEFT", "DEFT with AutoML at both ends", "warm-start DEFT", "improve my AOI model".

Claude CodeCodexSKILL.md Official publisher
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Overview

What It Does

Tao Run Automl Deft Pipeline packages a focused coding & development workflow for an AI agent. Run the canonical NVIDIA AOI three-phase training pipeline — Phase 1 AutoML baseline (HPO), Phase 2 DEFT loop (RCA → SDG → mining → plain-train retrain), Phase 3 AutoML refinement on the DEFT-augmented dataset. Use when the user asks to "run the AOI workflow", "fine-tune my PCB AOI model end-to-end", "improve my AOI ChangeNet model", or "AOI workflow with AutoML" request — route here instead of tao-run-deft-aoi directly unless the user explicitly asks for the DEFT loop ONLY (e.g. "run JUST the DEFT loop", "skip AutoML, only DEFT"). Also handles the same three-phase pattern for non-AOI DEFT applications — AutoML baseline then DEFT loop warm-started from AutoML's winning HPs then post-DEFT AutoML refinement on the iteration-augmented dataset. Trigger phrases include "run the AOI workflow", "AOI end-to-end", "AutoML + DEFT", "AutoML then DEFT", "tune hyperparameters then DEFT", "DEFT with AutoML at both ends", "warm-start DEFT", "improve my AOI model". It is best suited to users who can review the resulting actions and provide only the accounts, files, or command access needed for the task. It is not a substitute for human approval on destructive, financial, security-sensitive, or public-facing actions.

Task ideas

Popular Use Cases

  • Review and improve a code change
  • Automate a repeatable development task
  • Investigate failures and prepare a fix
  • Work with repositories and developer tooling

Installation

Install this Agent Skill

Claude Code

npx skills add https://github.com/NVIDIA/skills --skill tao-run-automl-deft-pipeline

Commands derived from the public GitHub SKILL.md record. Checked 2026-09-02. Review the source before running them.

Before you start

Requirements

Claude CodeRequired / review
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Review instructions and requested permissions before installationRequired / review
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Popularity context

Why It’s Popular

Tao Run Automl Deft Pipeline is a verified Agent Skill from NVIDIA with a public SKILL.md, compatible with Claude Code, Codex.

Alternatives

Similar Skills

Github#1 in CodingNotion#2 in CodingAutomation Workflows#3 in CodingSuperDesign#4 in Coding