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