Jetson Set Target logo

Jetson Set Target

Organization
NVIDIA-AI-IOT
jetson-set-target

Switch the active Jetson target-platform pointer to an existing profile YAML. Use before customize/build/flash to change target; not for authoring profiles — use jetson-init-target instead.

Overview

PublisherNVIDIA-AI-IOT
Repositoryjetson-bsp-skills
Skill namejetson-set-target
Stars
73
Forks
13
Bundled files
4
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by NVIDIA-AI-IOT on GitHub. Read the source before you install it.

Installation

Install the Jetson Set Target AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/NVIDIA-AI-IOT/jetson-bsp-skills/tree/main/skills/jetson-set-target
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/NVIDIA-AI-IOT/jetson-bsp-skills.git /tmp/jetson-bsp-skills
mkdir -p .claude/skills
cp -r /tmp/jetson-bsp-skills/skills/jetson-set-target .claude/skills/jetson-set-target
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Jetson Set Target in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Jetson Set Target on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Jetson Set Target is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Set Target Platform

Overview

This skill is the switcher side of the target-platform contract in ../../context/target-platform-contract.md. It only edits target-platform/active_target.yml; it never authors a new profile YAML. To author a new profile, use the sibling skill jetson-init-target.

Single output: target-platform/active_target.yml updated to point at the user's chosen existing profile.

When to invoke

  • The user asks to switch / change / activate a different target platform among profiles that already exist.
  • A downstream skill refused with "no active target" and target-platform/ already contains one or more profile YAMLs.
  • The user names a target by filename or product, and that profile YAML is already on disk.

If target-platform/ is missing, empty, or contains only active_target.yml, stop and tell the user to run jetson-init-target first.

Procedure

Survey the profiles directory

  1. Read target-platform/active_target.yml (treat a missing file as active: NA for the purposes of this skill — the file will be created in the "Update the active pointer" step if needed, preserving the template header).
  2. List target-platform/*.yaml, excluding active_target.yml itself.
SituationAction
No profile YAMLs existRefuse. Tell the user to run jetson-init-target to author one.
Exactly one profile, already activeTell the user it is already active; no change needed. Stop.
Exactly one profile, not activeConfirm with the user, then jump to the "Update the active pointer" step with that profile selected.
Multiple profilesProceed to the "Show the list" step.

Show the list

Print the profiles in alphabetical order, numbered. Mark the current active selection with (active) so the user knows what they're switching from. For each profile, parse its YAML and show a one-line summary so the user can identify it without opening files: the reference_devkit.name (or custom_carrier.name if present) plus the flash_config.

Sample shape:

Profiles in target-platform/:
   1) acme-vision-x1.yaml          — Acme Vision X1 (custom carrier on AGX Thor T5000) — acme-vision-x1.conf
   2) jetson-agx-orin-32gb.yaml    — Jetson AGX Orin 32GB                              — jetson-agx-orin-devkit.conf
   3) jetson-agx-thor-devkit.yaml  — Jetson AGX Thor T5000                             — jetson-agx-thor-devkit.conf  (active)
   4) jetson-orin-nano-8gb.yaml    — Jetson Orin Nano 8GB                              — jetson-orin-nano-devkit.conf

If a profile YAML fails to parse or is missing the expected fields, show the bare filename with a (unparseable — fix or remove) marker and skip to the next; do not refuse the whole skill over one bad file.

Prompt for selection

Prompt:

Pick a number, the bare filename, the product name (substring match), or cancel.

Resolve to a single profile filename. If the user picks the currently active profile, tell them so and stop without rewriting the pointer. If ambiguous, list candidates and ask again.

Update the active pointer

Edit target-platform/active_target.yml:

  • Set active: <chosen-filename>.yaml.
  • Preserve the header comment block verbatim — only modify the active: line.
  • If the file does not exist (it can be missing if the user hand-set up target-platform/ without the bootstrap step), create it from ../../references/active_target_template.yaml and then set active:.

Confirm

Print a summary: the previous active value, the new active value, the chosen profile's reference_devkit.name (and custom_carrier.name if present), and a reminder that downstream skills (jetson-customize-clocks, jetson-customize-nvpmodel, jetson-customize-fan, jetson-optimize-memory) will now resolve to this target.

If a downstream skill triggered this run, tell the user to re-issue their original request; do not silently re-trigger it.

Prerequisites

  • target-platform/ exists and contains at least one *.yaml profile (excluding active_target.yml).
  • target-platform/active_target.yml is present, or the template at ../../references/active_target_template.yaml is available so this skill can recreate the pointer.

Limitations

  • Edits only the active: line in active_target.yml; never writes profile YAMLs.
  • Refuses when no profile YAMLs exist — routes the user to jetson-init-target instead.
  • Does not resolve fuzzy product names beyond simple substring match; ambiguous selections are re-prompted.

Troubleshooting

  • "no profiles found" refusal — the directory has no *.yaml other than the pointer; run /jetson-init-target first.
  • Pointer rewritten to a missing profile — should not happen because the chosen filename is verified before writing; if seen, hand-edit active_target.yml back to a valid filename or rerun with the right selection.
  • Active pointer reads NA — legitimate "no selection" state; pick any listed profile and the pointer will be set.

Gotchas

  • No authoring here. If the user names a target whose profile YAML is not on disk, refuse and route them to jetson-init-target. Do not silently fall through to authoring.
  • Don't edit active_target.yml to point at a missing profile. Verify the chosen filename exists in target-platform/ before writing.
  • Preserve active_target.yml's comment block when editing — only the active: line should change.
  • Exclude active_target.yml from the profile list. It lives in the same directory but is the pointer, not a profile.
  • active: NA is the legitimate "no selection" state. Treat it the same as a fresh pointer — don't refuse, just show the list and let the user pick.
  • One-profile shortcut. If only one profile exists, do not skip user confirmation — still confirm before flipping the pointer.

References

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Jetson Set Target AI skill do?

Switch the active Jetson target-platform pointer to an existing profile YAML. Use before customize/build/flash to change target; not for authoring profiles — use jetson-init-target instead.

Why use Jetson Set Target on TypingMind?

Because you install it once and use it with any model. Jetson Set Target is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Jetson Set Target in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NVIDIA-AI-IOT/jetson-bsp-skills/tree/main/skills/jetson-set-target. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Jetson Set Target?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Jetson Set Target?

As many as you like. As long as a model supports skills, you can use Jetson Set Target with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Jetson Set Target AI skill free?

Yes. It is published on GitHub by NVIDIA-AI-IOT under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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