Performs deep Root Cause Analysis (RCA) on NVIDIA TAO Visual ChangeNet classification experiments with image-evidence-driven investigation. Use when analyzing ChangeNet model failures, investigating poor recall / FAR / PASS-NO_PASS metrics, auditing visual inspection pipeline quality, or running an RCA report for an AOI defect-detection model.
安装
npx skills add NVIDIA/skills --skill tao-analyze-changenet-rcanpx skills add NVIDIA/skills --skill tao-analyze-changenet-rca -a claude-code -gnpx skills add NVIDIA/skills --skill tao-analyze-changenet-rca -a codex -ggemini skills install https://github.com/NVIDIA/skills.git --path skills/tao-analyze-changenet-rcagh skill install NVIDIA/skills tao-analyze-changenet-rcagit clone --depth 1 https://github.com/NVIDIA/skills /tmp/NVIDIA__skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/NVIDIA__skills/skills/tao-analyze-changenet-rca ~/.claude/skills/tao-analyze-changenet-rca # Claude Code
cp -R /tmp/NVIDIA__skills/skills/tao-analyze-changenet-rca ~/.agents/skills/tao-analyze-changenet-rca # Codex, Cursor, Gemini CLI, Copilot, OpenCode