REPLACE WITH PLATFORM NAME

Organization

NVIDIA-TAO

REPLACE-WITH-PLATFORM-NAME

Where and how GPU jobs run on this platform. One-to-three-sentence summary. Use when the user asks to "deploy on REPLACE-PLATFORM", "run on REPLACE-PLATFORM", or mentions the platform's distinctive concepts (e.g., resource shape, instance, node group).

Overview

Publisher	NVIDIA-TAO
Repository	`tao-skill-bank`
Skill name	`REPLACE-WITH-PLATFORM-NAME`
Stars	98
Forks	28
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by NVIDIA-TAO on GitHub. Read the source before you install it.

Installation

Install the REPLACE WITH PLATFORM NAME AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/NVIDIA-TAO/tao-skill-bank/tree/main/templates/skill-skeleton/platform
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/NVIDIA-TAO/tao-skill-bank/tree/main/templates/skill-skeleton/platform

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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-TAO/tao-skill-bank.git /tmp/tao-skill-bank
mkdir -p .claude/skills
cp -r /tmp/tao-skill-bank/templates/skill-skeleton/platform .claude/skills/REPLACE-WITH-PLATFORM-NAME

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable REPLACE WITH PLATFORM NAME 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 REPLACE WITH PLATFORM NAME 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 REPLACE WITH PLATFORM NAME 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.

Platform Name

Standalone install? If this session was not initialized by the TAO skill bank plugin, run the tao-setup skill first (host preflight, credentials, cross-skill discovery).

Short summary of the platform's execution model. Instance-based or job-based? API-first or docker-first? Single-node or multi-node? Managed or self-hosted?

For generic docker conventions, defer to tao-skill-bank:tao-run-on-docker. This skill covers the platform-specific layering on top.

External dependencies

Dependency	Purpose	Install
`<cli-name>`	Submit jobs / manage resources	`<install-command>`

Authentication

Method	When to use
API token (recommended)	Scripted / automated workflows
Browser login	Interactive development

Env vars:

Env var	Required	Purpose
`<PLATFORM>_API_TOKEN`	Yes (or manual login)	API auth

Preflight

bash
# 1. CLI installed
which <cli-name> || echo "MISSING: install from <url>"

# 2. Logged in
<cli-name> ls >/dev/null 2>&1 || echo "NOT LOGGED IN"

# 3. Platform-specific checks

Quick start

Docker-native workflow

bash
<platform-cli> exec <target> -- docker run --gpus all --rm \
  -e <env-vars> \
  -v <host-path>:<container-path> \
  nvcr.io/... \
  <command>

Execution — the four verbs

A platform skill is a consumer: it runs a model/data skill's spec-bundle by implementing submit/status/logs/cancel over the native CLI, mutating only the job-record. No SDK. See tao-skill-bank:tao-launch-workflow for the shared contract and tao-skill-bank:tao-run-on-docker for a worked example.

submit — stage inputs via tao-data-io, lint the command with redact_secrets.py, then tao_job_record.py open (mints the id + binds results_dir before launch), launch naming the backend object after the id, and mark ... --state RUNNING.
status / logs — poll the native backend; map states to the fixed vocab PENDING RUNNING COMPLETE ERROR CANCELED UNKNOWN.
cancel — native cancel + teardown, then mark ... --state CANCELED.

Platform-specific notes

Storage model (shared NFS/Lustre? S3 only? instance-local?)
Pricing / lifecycle considerations
Known limitations

Known pitfalls

Symptom	Cause	Fix
`<error>`	...	...

Frequently asked questions

What does the REPLACE WITH PLATFORM NAME AI skill do?

Why use REPLACE WITH PLATFORM NAME on TypingMind?

Because you install it once and use it with any model. REPLACE WITH PLATFORM NAME 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 REPLACE WITH PLATFORM NAME in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NVIDIA-TAO/tao-skill-bank/tree/main/templates/skill-skeleton/platform. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use REPLACE WITH PLATFORM NAME?

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 REPLACE WITH PLATFORM NAME?

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

Is the REPLACE WITH PLATFORM NAME AI skill free?

Yes. It is published on GitHub by NVIDIA-TAO 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Platform Name

External dependencies

Authentication

Preflight

Quick start

Docker-native workflow

Execution — the four verbs

Platform-specific notes

Known pitfalls

Frequently asked questions

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