Configuration And Cli

Organization

VectorSpaceLab

configuration-and-cli

Use this sub-skill when working with Hugging Face Accelerate configuration files and CLI commands, including accelerate config/default/update/env/launch/test/estimate-memory/merge-weights/to-fsdp2, launch command construction, multi-node and SLURM planning, config validation, and CLI troubleshooting.

Overview

Publisher	VectorSpaceLab
Repository	`AREX-Skill`
Skill name	`configuration-and-cli`
Stars	341
Forks	26
Bundled files	6
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.
6 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by VectorSpaceLab on GitHub. Read the source before you install it.

Installation

Install the Configuration And Cli 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/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/accelerate/sub-skills/configuration-and-cli
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/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/accelerate/sub-skills/configuration-and-cli

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/VectorSpaceLab/AREX-Skill.git /tmp/AREX-Skill
mkdir -p .claude/skills
cp -r /tmp/AREX-Skill/skills/repositories/repo-skills/accelerate/sub-skills/configuration-and-cli .claude/skills/configuration-and-cli

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

Use it in TypingMind

Enable Configuration And Cli 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 Configuration And Cli 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 Configuration And Cli 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.

Accelerate Configuration and CLI

Use this sub-skill to create, validate, update, and reason about Accelerate config files and command-line invocations.

When to Use

Build or debug accelerate launch commands for scripts, modules, non-Python executables, multi-node jobs, or SLURM wrappers.
Create or adapt default_config.yaml or custom --config_file YAML for local CPU, single accelerator, multi-GPU, multi-XPU, or multi-node runs.
Explain or safely run accelerate config, config default, config update, env, test, estimate-memory, merge-weights, or to-fsdp2.
Diagnose missing configs, invalid YAML, unknown keys, conflicting launcher flags, rendezvous mistakes, subprocess tracebacks, and training-script argument separation.

Routing Boundaries

For training-loop code changes such as Accelerator.prepare, dataloaders, gradient accumulation, trackers, and checkpoint hooks, use ../training-loop-integration/.
For DeepSpeed, FSDP, Megatron-LM, TPU, and backend-specific semantics beyond CLI flag placement, use ../distributed-training-backends/.
For estimate-memory interpretation and big-model device-map loading workflows, use ../big-model-inference/.

Start Here

Read references/cli-reference.md for command inventory, safe command patterns, and which commands mutate files.
Read references/configuration.md before editing YAML or choosing top-level config keys.
Read references/launching.md before composing accelerate launch, multi-node, module, no-Python, or SLURM commands.
Read references/troubleshooting.md when a config or launch command fails.

Bundled Helpers

scripts/validate_accelerate_config.py: validates YAML syntax, known top-level keys, required fields, and common local/multi-node conflicts without importing Accelerate.
scripts/print_accelerate_help_summary.py: invokes installed accelerate --help subcommands when available and prints a compact availability summary.

Run helpers with python path/to/script.py --help for usage.

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 Configuration And Cli AI skill do?

Why use Configuration And Cli on TypingMind?

Because you install it once and use it with any model. Configuration And Cli 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 Configuration And Cli in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/accelerate/sub-skills/configuration-and-cli. 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 Configuration And Cli?

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 Configuration And Cli?

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

Is the Configuration And Cli AI skill free?

Yes. It is published on GitHub by VectorSpaceLab 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

Accelerate Configuration and CLI

When to Use

Routing Boundaries

Start Here

Bundled Helpers

Bundled files

Frequently asked questions

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