amc-run-sample-calibration
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'.
npx skills add NVIDIA/skills --skill amc-run-sample-calibration --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 use
What does the amc-run-sample-calibration skill do?
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'.
How do I install it?
Run `npx skills add NVIDIA/skills --skill amc-run-sample-calibration --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From NVIDIA/skills, a repository with 2,789 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.