mcpbeat

Jetson Headless Mode

nvidia/jetson-headless-mode

Plan and apply safe Jetson headless-mode changes to reclaim GUI and daemon memory.

9k tokens
context cost
the whole folder, loaded on every use
7
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
2778
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/NVIDIA/skills --skill jetson-headless-mode

What comes with it

29 824 bytes besides the instruction
BENCHMARK.md
evals/evals.json
scripts/apply.sh
scripts/plan.sh
skill-card.md
skill.oms.sig

What it tells the agent to use

found in the instruction text
Bash runs shell commands — read the instruction before connecting

The instruction itself

13 sections, as written by the author

Jetson Headless Mode

Plan-then-apply for safe, reversible user-space memory reclamation: switch the default systemd target away from graphical.target and disable a curated set of non-essential daemons. This is the highest-yield, lowest-risk memory win on Jetson.

Purpose

Build a user-approved headless-mode plan from live audit data, then apply only safe, reversible user-space changes that reduce desktop and daemon memory use on Jetson.

When to use

  • "Free as much memory as possible — I don't need the GUI."
  • "I'm shipping this Jetson as an inference appliance / edge node."
  • After jetson-memory-audit shows default_systemd_target=graphical.target or shows gdm3 / lightdm / sddm active on a system the user describes as headless.

When NOT to use

  • The user needs the local desktop, display output, kiosk UI, or any X/Wayland session. In that case, do not recommend disabling the graphical target or display manager; use jetson-memory-audit for a read-only view and suggest non-GUI memory options instead.
  • You do not have current audit data. Run jetson-memory-audit first, or ask the user for its output, before proposing changes or estimating savings.

Use live device data as the source of truth. Jetson family, SKU/variant, memory totals, active display services, and savings estimates must come from jetson-diagnostic/scripts/detect_jetson.sh, audit.json, or a fresh jetson-memory-audit run. If a value is not available, say it is unknown instead of guessing. The savings numbers below are upper bounds; the real delta is whatever a before/after audit reports.

Prerequisites

  • Start from a current jetson-memory-audit JSON snapshot.
  • Confirm the user does not need the local desktop, display output, kiosk UI, or X/Wayland session.
  • Mutating changes require sudo and explicit user approval; dry-run first unless approval was already given in the same prompt.
  • Run on the Jetson host or in a host-visible sandbox with access to systemd state.

Available Scripts

| Script | Purpose | Arguments |

|--------|---------|-----------|

| scripts/plan.sh | Reads a memory audit JSON and emits a plan containing safe, reversible recommendations. | --audit PATH or --audit -, plus --human. |

| scripts/apply.sh | Prints or applies the safe commands from a plan JSON. Dry-run by default. | --plan PATH or --plan -, --apply, --reboot, --drop-caches. |

If your agent runtime supports run_script, use it to run scripts/plan.sh and scripts/apply.sh and summarize the returned output. Otherwise run the scripts with bash from the repository root.

Instructions

  • Run scripts/plan.sh to read audit.json (from jetson-memory-audit) and emit a plan with only safety: safe knobs (target switch, display managers, audio, print, modem, etc.).
  • Show the plan to the user and confirm.
  • Run scripts/apply.sh --plan plan.json for a dry run. Re-run with --apply to execute. Add --drop-caches to flush the page cache afterward, or --reboot to take effect immediately.
  • Re-run jetson-memory-audit/scripts/audit.sh to verify the actual delta.

Expected workflow

Use the scripts for estimates and application so recommendations are based on the current device state rather than the static upper-bound table alone.

  • For "what would headless save", "estimate", "plan", or production planning prompts, run scripts/plan.sh --audit <audit.json> and report estimated_total_savings_mb, the top recommendations[*].knob, and whether any display manager or graphical.target is active. Do not run apply.sh.
  • For prompts where the user explicitly says to apply headless mode now, run scripts/apply.sh --plan <plan.json> once as a dry run first. If the user has already approved mutation in the same prompt, re-run the same command with --apply and mention the reversible command(s).
  • If direct execution fails in an agent runtime, invoke scripts with bash {baseDir}/scripts/<script-name> .... Do not try to chmod installed skill files.

Plan / apply contract

  • plan.sh emits the same JSON shape as jetson-inference-mem-tune/scripts/recommend.py: an array of recommendations with {layer, knob, estimated_savings_mb, safety, command, reversible_command, rationale}.
  • apply.sh filters entries to safety == "safe" with a non-empty command, then re-checks the filtered safety marker in the shell loop before execution. Anything else, such as kernel command-line changes, device-tree changes, or accuracy tradeoffs, is out of scope for this skill.
  • Default mode is dry-run. --apply is required to mutate the system.

Knobs covered

| Knob | Action | Estimated savings | Reversible? |

|---------------------------------|----------------------------------------------|-------------------|-------------|

| disable-graphical-target | systemctl set-default multi-user.target | up to 865 MB | yes |

| stop-gdm3 / gdm / lightdm / sddm / display-manager | systemctl disable --now <svc> | ~200 MB / svc | yes |

| stop-pulseaudio | disable audio daemon | ~8 MB | yes |

| stop-bluetooth | disable Bluetooth stack | ~6 MB | yes |

| stop-ModemManager | disable WWAN manager | ~4 MB | yes |

| stop-cups / stop-cups-browsed | disable print stack | ~5 / ~3 MB | yes |

| stop-snapd | disable Snap daemon | ~30 MB | yes |

| stop-whoopsie / kerneloops | disable crash reporters | ~4 / ~2 MB | yes |

| stop-avahi-daemon | disable mDNS | ~3 MB | yes |

| stop-unattended-upgrades / packagekit | disable background package work | ~6 / ~8 MB | yes |

Do NOT disable these services

  • nvargus-daemon — required for any libargus camera pipeline.
  • nvgetty.service — serial console; disabling can lock you out of recovery.
  • nvpmodel — power-mode service; required for clock/power tuning.
  • containerd / docker — leave on if you run containers (most inference workloads do).
  • nvfb / nvdisplay-related kernel services — tied to boot-time display configuration, so this skill does not change them.

Safety

  • Does not edit /boot/extlinux/extlinux.conf, the device tree, or boot-time memory reservations.
  • Does not disable services it does not have an explicit entry for (no blanket "disable everything not whitelisted").
  • Every applied change has a documented reversible_command. Re-running the plan with the reverts is sufficient to restore.
  • Dry-run by default. --apply is the only way to mutate.
  • Report only device facts and savings figures that came from live detection or audit output.

Cross-platform behavior

The same set of knobs applies to every Jetson family in the matrix above. The script reads JETSON_GENERATION / JETSON_PRODUCT_LINE / JETSON_VARIANT from jetson-diagnostic/scripts/detect_jetson.sh (and still exports legacy JETSON_SKU) so the agent can attribute the savings correctly in its summary, but it does not branch on product line.

How to use it

Copy the folder

Take nvidia/jetson-headless-mode from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.