Agent skill · ai-agents-llm · NVIDIA

tao-train-sparse4d agent skill by NVIDIA

Prepare calibrated multi-camera data and train, evaluate, run inference, export, or quantize TAO Sparse4D 3D detection and tracking models. Includes 2D-to-3D geometric distillation with released LTT weights. Use for Sparse4D adaptation and temporal multi-camera perception workflows.

Source and license

PublisherNVIDIA
RepositoryNVIDIA/skills
LicenseApache-2.0
Snapshot2026-10-22
Last repository commit2026-10-17
Instruction size1,616 words; 90 lines
Bundled files25

Read the publisher’s SKILL.md

Suede Skill Check: 87/100 · B

Report snapshot · · graded-v2

The rubric totals 100 points; published scores are capped at 99. Security scan: not scanned.

Source revision: 4fc9cf6cec78. Report version 46b34a7336bd. Badge URLs follow the latest listing; save the report to keep this version.

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  • Boundary clause: 0 of 4 points. 4 when the description says when not to use the skill (“Not for …”, “Do not use …”, “Use … instead”).
  • Example request: 0 of 3 points. 3 when the description quotes an example request (3–60 characters in quotation marks).

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ComponentPoints earnedAvailable
Structural checks5656
Description length55
Boundary clause04
Example request03
Instruction depth77
Reference files33
Bundled scripts22
Recent maintenance99
Curated-list citations17
Tool permissions declared22
Compatibility declared22

The published score is capped at 99. It measures the published files, documentation and maintenance signals. Security scan: not scanned. This assessment does not include a runtime test or a full installation-dependency review.

Install tao-train-sparse4d

The skills CLI works with Claude Code, Codex, Cursor and other agents; the other routes copy the folder by hand.

Skills CLI
npx skills add https://github.com/NVIDIA/skills/tree/main/skills/tao-train-sparse4d
Claude Code, project-level copy
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/NVIDIA/skills.git "$tmp/repo"
mkdir -p .claude/skills
cp -R "$tmp/repo/"skills/tao-train-sparse4d .claude/skills/
rm -rf "$tmp"
Codex, project-level copy
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/NVIDIA/skills.git "$tmp/repo"
mkdir -p .agents/skills
cp -R "$tmp/repo/"skills/tao-train-sparse4d .agents/skills/
rm -rf "$tmp"

For a user-level install, copy the folder to ~/.claude/skills/ (Claude Code) or ~/.agents/skills/ (Codex). Inside Codex, $skill-installer can also fetch a skill from GitHub. New to skills? Read How to install agent skills in Claude Code, Codex and Cursor.

NVIDIA/skills is third-party code. Read SKILL.md and any bundled scripts before you install it.

Two badges for tao-train-sparse4d

Suede Skill Check: 87/100Suede Skill Check: Grade B

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