Agent Skill
Amc Setup Calibration Stack skill
amc-setup-calibration-stackNVIDIA/skillsskills/amc-setup-calibration-stack/SKILL.md
Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key.
always on
67 tokname + description
once used
4,277 tokSKILL.md body
bundled files
419 KB
repo stars
3.7kGitHub
Install the Amc Setup Calibration Stack skill
Skills CLI (Claude Code, Codex, Cursor and others)
npx skills add https://github.com/NVIDIA/skills --skill amc-setup-calibration-stack
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-setup-calibration-stack ~/.claude/skills/amc-setup-calibration-stack
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.
| When | What loads | Cost |
|---|---|---|
| Every session | Name and description | 67 tok |
| When the agent uses it | The SKILL.md instructions | 4,277 tok |
| Only if opened | 4 bundled files (19 KB) | varies |
Until it is used, amc-setup-calibration-stack costs about 20× 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
Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.
Checked 2026-10-22 · method
What's inside
The headings of its SKILL.md. Read the full file on GitHub.
- Skill: Launch AutoMagicCalib Release Containers
- Prerequisites
- Instructions
- Step 0: Verify Docker Runs Without sudo
- Step 0b: Resolve Repo Checkout
- Step 0c: Install Python venv (New Systems Only)
- Step 1: Login to NGC
- Step 2: Download VGGT Model (If Not Already Present)
- Step 3: Configure Compose Environment Variables
- Step 4: Set Directory Permissions
- Step 5: Launch Services
- Step 6: Verify Services Are Running
- Success Criteria
- Troubleshooting
- Stopping the Services
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