Overview
What It Does
Tao Analyze Gaps Visual Changenet packages a focused devops & cloud workflow for an AI agent. Performs gap analysis on NVIDIA TAO VCN Classify (Visual Component Net) experiments by invoking the data-services container (`tao_toolkit.data_services` from `versions.yaml`) directly via `docker run … gap_analysis vcn_aoi …` — picks the optimal decision threshold, ranks per-sample weakness, and emits a top-K weakest parquet expanded per-lighting for downstream augmentation. Use when analyzing VCN classification failures, picking SDA augmentation targets, or auditing PASS/NO_PASS boundary cases. 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
- Inspect deployment or infrastructure state
- Automate a repeatable operations task
- Troubleshoot configuration and runtime issues
- Apply documented production practices
Installation
Install this Agent Skill
Claude Code
npx skills add https://github.com/NVIDIA/skills --skill tao-analyze-gaps-visual-changenetCommands derived from the public GitHub SKILL.md record. Checked 2026-09-02. Review the source before running them.
Before you start
Requirements
| Claude Code | Required / review |
| Codex | Required / review |
| Public SKILL.md source | Required / review |
| Review instructions and requested permissions before installation | Required / review |
| Paid service | Check source |
| Supported system | Check source |
Popularity context
Why It’s Popular
Tao Analyze Gaps Visual Changenet is a verified Agent Skill from NVIDIA with a public SKILL.md, compatible with Claude Code, Codex.
Alternatives
