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Agent Skill

Amc Run Sample Calibration skill

amc-run-sample-calibrationNVIDIA/skillsskills/amc-run-sample-calibration/SKILL.md

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'.

3.7kApache-2.0

always on

64 tokname + description

once used

3,627 tokSKILL.md body

bundled files

51 scripts

repo stars

3.7kGitHub

Install the Amc Run Sample Calibration skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/NVIDIA/skills --skill amc-run-sample-calibration

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/NVIDIA/skills.git /tmp/skills
mkdir -p ~/.claude/skills
cp -R /tmp/skills/skills/amc-run-sample-calibration ~/.claude/skills/amc-run-sample-calibration

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description64 tok
When the agent uses itThe SKILL.md instructions3,627 tok
Only if opened5 bundled files (29 KB)varies

Until it is used, amc-run-sample-calibration costs about 21× less than the median MCP server we measured (1,363 tokens on every turn). Installing all 150 skills from NVIDIA/skills would load 20,796 tokens of descriptions. Skills vs MCP study

Checks

  • Ships scripts the agent can run. Read them before installing.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Skill: Calibrate Sample Dataset
  • When to Use This Skill
  • Overview
  • Prerequisites
  • Instructions
  • Detect Running Backend
  • Locate + Extract Sample Data (idempotent)
  • Run Script
  • Alternative: Swagger UI Walkthrough
  • Status Fields from getprojectinfo
  • Success Criteria
  • Key Output Files (on the server)
  • Monitoring Progress
  • Troubleshooting
  • Additional Sample Dataset
  • Related Skills

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