# Amc Run Sample Calibration

Run end-to-end calibration on the shipped sample dataset...

- Repository: https://github.com/NVIDIA/skills (3812 stars)
- Category: Testing
- License: Apache-2.0
- Last updated: 2026-10-30
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add NVIDIA/skills --skill amc-run-sample-calibration -g -a claude-code -y`
Codex: `npx skills add NVIDIA/skills --skill amc-run-sample-calibration -g -a codex -y`
Cursor: `npx skills add NVIDIA/skills --skill amc-run-sample-calibration -g -a cursor -y`
Gemini CLI: `npx skills add NVIDIA/skills --skill amc-run-sample-calibration -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add NVIDIA/skills`

## Description

Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Skill: Calibrate Sample Dataset

## When to Use This Skill

Activate this skill when the user wants to sanity-check a running AMC stack with the bundled sample dataset. Typical prompts:

- "test the sample dataset" / "run sample calibration"
- "verify AMC install"
- "launch and test" (chain with `amc-setup-calibration-stack` if the MS isn't already running)

**Do NOT use this skill when:**

- The user references their own video paths (e.g. `/data/videos/`, `cam_*.mp4` not from the bundled zip), route to `amc-run-video-calibration`.
- The user provides live RTSP streams or `rtsp://...` URLs, route to `amc-run-rtsp-calibration`.
- This skill is exclusively for `assets/sdg_08_2_sample_data_010926.zip`.

Prerequisite: AMC microservice running on a port in 8000-8009. If no backend is detected, delegate to `amc-setup-calibration-stack` first.

If execution cannot proceed in the current environment (no backend, missing sample data, etc.), surface the blocker AND describe the expected workflow + API sequence concisely so the user understands what will run once prerequisites are met. Do not fabricate calibration outputs, evaluation metrics, or trajectories.

## Overview

Run a full calibration on the bundled sample dataset (`sdg_08_2_sample_data_010926.zip`, 4 synthetic warehouse cameras with ground truth) against a running AutoMagicCalib microservice. Useful for verifying that a freshly-launched stack works end-to-end before throwing real data at it.

The sample includes GT, so the run produces evaluation metrics (L2 distance, reprojection error), no calibration parameter tuning needed.

## Prerequisites

The rest: https://github.com/NVIDIA/skills/blob/HEAD/skills/amc-run-sample-calibration/SKILL.md