Agent skill

Setup Guide

by Red-Hat-AI-Innovation-Team in Red-Hat-AI-Innovation-Team/training_hub

A skill your agent uses when the user wants to set up LLM training for the first time, or when traininghub is not yet installed/configured in the current environment.

Apache-2.0Auto-check passedAI & LLM Engineering

Install Setup Guide

skills CLI

$ npx skills add Red-Hat-AI-Innovation-Team/training_hub --skill setup-guide -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install Red-Hat-AI-Innovation-Team/training_hub setup-guide --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/Red-Hat-AI-Innovation-Team/training_hub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/setup-guide .claude/skills/setup-guide && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "setup-guide" agent skill from https://github.com/Red-Hat-AI-Innovation-Team/training_hub/tree/main/.claude/skills/setup-guide into .claude/skills/setup-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup-guide", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/Red-Hat-AI-Innovation-Team/training_hub/tree/main/.claude/skills/setup-guide

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add Red-Hat-AI-Innovation-Team/training_hub --skill setup-guide -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install Red-Hat-AI-Innovation-Team/training_hub setup-guide --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Red-Hat-AI-Innovation-Team/training_hub.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/setup-guide .agents/skills/setup-guide && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "setup-guide" agent skill from https://github.com/Red-Hat-AI-Innovation-Team/training_hub/tree/main/.claude/skills/setup-guide into .agents/skills/setup-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup-guide", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Red-Hat-AI-Innovation-Team/training_hub --skill setup-guide -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install Red-Hat-AI-Innovation-Team/training_hub setup-guide --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Red-Hat-AI-Innovation-Team/training_hub.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/setup-guide .cursor/skills/setup-guide && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "setup-guide" agent skill from https://github.com/Red-Hat-AI-Innovation-Team/training_hub/tree/main/.claude/skills/setup-guide into .cursor/skills/setup-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup-guide", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/Red-Hat-AI-Innovation-Team/training_hub.git --path .claude/skills/setup-guide

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add Red-Hat-AI-Innovation-Team/training_hub --skill setup-guide -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install Red-Hat-AI-Innovation-Team/training_hub setup-guide --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Red-Hat-AI-Innovation-Team/training_hub.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/setup-guide .gemini/skills/setup-guide && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "setup-guide" agent skill from https://github.com/Red-Hat-AI-Innovation-Team/training_hub/tree/main/.claude/skills/setup-guide into .gemini/skills/setup-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup-guide", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install Red-Hat-AI-Innovation-Team/training_hub setup-guide

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add Red-Hat-AI-Innovation-Team/training_hub --skill setup-guide -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/Red-Hat-AI-Innovation-Team/training_hub.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/setup-guide .github/skills/setup-guide && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "setup-guide" agent skill from https://github.com/Red-Hat-AI-Innovation-Team/training_hub/tree/main/.claude/skills/setup-guide into .github/skills/setup-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup-guide", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Red-Hat-AI-Innovation-Team/training_hub --skill setup-guide -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install Red-Hat-AI-Innovation-Team/training_hub setup-guide --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Red-Hat-AI-Innovation-Team/training_hub.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/setup-guide .opencode/skills/setup-guide && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "setup-guide" agent skill from https://github.com/Red-Hat-AI-Innovation-Team/training_hub/tree/main/.claude/skills/setup-guide into .opencode/skills/setup-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "setup-guide", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: setup-guide
GitHub stars: 100
Token cost: ~959 tokens
SKILL.md length: 438 words
Files: 1
Skills in repo: 4
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

A skill your agent uses when the user wants to set up LLM training for the first time, or when traininghub is not yet installed/configured in the current environment.

Works in 8 steps: Detect Environment → Install if Needed → Check GPU → …
The user wants to set up LLM training for the first time
SKILL.md covers Step 1: Detect Environment, Step 2: Install if Needed, Step 3: Check GPU and Step 4: Quick Setup or Custom, plus 6 more sections
Calls uv and pip

What it does

Setup Guide is an agent skill from Red-Hat-AI-Innovation-Team/training_hub. Use when the user wants to set up LLM training for the first time, or when traininghub is not yet installed/configured in the current environment.

Its SKILL.md is about 960 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering Fine-tuning. It works with CUDA. The repository describes itself as: An algorithm-focused interface for common llm training, continual learning, and reinforcement learning techniques. The licence is Apache-2.0.

When your agent uses it

The user wants to set up LLM training for the first time
Traininghub is not yet installed/configured in the current environment

Example prompts

“/setup-guide”

Requirements

Python 3
Pre-approved tools (allowed-tools): Bash(${CLAUDE_PLUGIN_ROOT}/scripts/th_detect.sh:*), Bash(${CLAUDE_PLUGIN_ROOT}/scripts/th_estimate.sh:*)

Workflow steps

8 steps, taken from the step headings in SKILL.md.

Detect Environment
Install if Needed
Check GPU
Quick Setup or Custom
Hyperparameters
Logging Config (Optional)
Save Config
Offer Memory Estimation

What it can do on your machine

Read from SKILL.md and the folder at commit 511a905. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
- Bash(${CLAUDE_PLUGIN_ROOT}/scripts/th_detect.sh:*)
- Bash(${CLAUDE_PLUGIN_ROOT}/scripts/th_estimate.sh:*)
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- uv
- pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv and pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Setup Guide loads about 959 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 438 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~40
When it runs · the whole SKILL.md, loaded when a task matches: ~959

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Red-Hat-AI-Innovation-Team/training_hub at commit 511a905, republished under its Apache-2.0 licence (© Red-Hat-AI-Innovation-Team). 438 words, ~959 tokens.

Download SKILL.mdSave it as .claude/skills/setup-guide/SKILL.md (or your agent's skills folder).

name: setup-guide
description: Use when the user wants to set up LLM training for the first time, or when training_hub is not yet installed/configured in the current environment.
allowed-tools: Bash(${CLAUDE_PLUGIN_ROOT}/scripts/th_detect.sh:*), Bash(${CLAUDE_PLUGIN_ROOT}/scripts/th_estimate.sh:*)

training_hub Setup Guide

You are helping the user set up LLM training. For algorithm selection guidance, hyperparameter tuning, and troubleshooting, consult the training-hub-guide skill.

Step 1: Detect Environment

"${CLAUDE_PLUGIN_ROOT}/scripts/th_detect.sh"

Step 2: Install if Needed

If library=missing:

Ask permission: "training_hub isn't installed. I can install it for you — want me to proceed?"
If yes and installer=uv: run uv pip install training-hub
If yes and installer=pip: run pip install training-hub
If installer=none: tell the user they need Python and pip/uv installed first
Ask about extras:
- CUDA: training-hub[cuda] — flash-attn, bitsandbytes for GPU acceleration
- LoRA: training-hub[lora] — Unsloth, TRL for parameter-efficient fine-tuning
- GRPO: training-hub[grpo] — ART, veRL for reinforcement learning

For installation issues, consult the training-hub-guide skill (installation-troubleshooting section).

Step 3: Check GPU

If gpu=unavailable, warn: "No GPU detected. Training requires CUDA-capable GPUs. You can still configure, but training will fail without a GPU."

Report GPU count if available.

Step 4: Quick Setup or Custom

If the user has a clear task ("fine-tune Llama on my data"), offer a fast path with sensible defaults:

"I detected N GPU(s). I can set up with these defaults:

Algorithm: lora_sft (parameter-efficient, works on a single GPU)

Learning rate: 1e-5

Epochs: 2

Batch size: 64

Max sequence length: 4096

You'll just need to provide your model path and data path. Accept these defaults, or customize?"

If the user accepts, ask only for model path and data path, then skip to Step 7.

If the user wants to customize, proceed with the full configuration.

Show full SKILL.md (196 more words)Show less

Full Configuration

Ask these questions one at a time:

Algorithm: "Which training algorithm do you want to use?" — consult the training-hub-guide skill for algorithm selection guidance if the user is unsure.
Model path: "What's the model identifier?" — e.g., meta-llama/Llama-3.1-8B-Instruct, or a local path.
Data path: "Where is your training data?" — Path to a JSONL file with messages field.
Output directory: "Where should checkpoints be saved?" — Default: ./output
GPU count: "How many GPUs should be used?" — Default: detected count or 1.

Step 5: Hyperparameters

Collect hyperparameters based on the chosen algorithm. Consult the training-hub-guide skill (hyperparameter-guide section) for recommended defaults by dataset size and algorithm.

Step 6: Logging Config (Optional)

Ask: "Do you want to configure experiment tracking?" (W&B, MLflow, or TensorBoard). See the training-hub-guide skill for logger details.

Step 7: Save Config

Write the config to .training-hub/config.json:

json

{
  "algorithm": "<algorithm>",
  "model_path": "<model_path>",
  "data_path": "<data_path>",
  "ckpt_output_dir": "<output_dir>",
  "nproc_per_node": N,
  "hyperparams": { ... },
  "algorithm_config": { ... },
  "logging": { ... }
}

Add .training-hub/ to .gitignore if not already present.

Step 8: Offer Memory Estimation

Ask: "Want me to estimate GPU memory requirements before training?"

If yes, run:

"${CLAUDE_PLUGIN_ROOT}/scripts/th_estimate.sh"

Updating Config

If this skill is invoked again and a config already exists, ask: "You already have a configuration. Do you want to update it or start fresh?"

Files

Just SKILL.md in .claude/skills/setup-guide of Red-Hat-AI-Innovation-Team/training_hub.

Open the folder on GitHubat commit 511a905

Compare with similar skills

Setup Guide next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Setup Guide compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Setup Guide this skillRed-Hat-AI-Innovation-Team/training_hub	100	—	~959	Automated safety check: Pass	Apache-2.0	2 days ago
Setup Workshop Nemoclawbrevdev/workshop-build-an-agent	146	—	~5.2k	Automated safety check: Pass	Apache-2.0	2 days ago
ML Generative Mattergenlearningmatter-mit/AtomisticSkills	176	—	~1.8k	Automated safety check: Pass	MIT	2 days ago
Cosmos3 Post TrainingNVIDIA/cosmos-framework	560	—	~2.7k	Automated safety check: Pass	Custom licence	today
Spark Environment Setupwshobson/agents	40k	—	~2k	Automated safety check: Pass	MIT	5 days ago
Kermt FinetuneNVIDIA/skills	3.6k	1 repos	~4.1k	Automated safety check: Pass	Apache-2.0	yesterday

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Works with

CUDA

Questions about Setup Guide

What does Setup Guide do?

A skill your agent uses when the user wants to set up LLM training for the first time, or when traininghub is not yet installed/configured in the current environment. Setup Guide is an agent skill from Red-Hat-AI-Innovation-Team/training_hub. Use when the user wants to set up LLM training for the first time, or when traininghub is not yet installed/configured in the current environment.

When should I use Setup Guide?

Setup Guide fits situations like: the user wants to set up LLM training for the first time; traininghub is not yet installed/configured in the current environment.

How do I install Setup Guide in Claude Code?

Run `npx skills add Red-Hat-AI-Innovation-Team/training_hub --skill setup-guide -a claude-code`. Or copy the skill folder (.claude/skills/setup-guide in Red-Hat-AI-Innovation-Team/training_hub) into .claude/skills/setup-guide in your project. Claude Code loads it when a task matches its description.

How do I install Setup Guide in Codex?

Run `npx skills add Red-Hat-AI-Innovation-Team/training_hub --skill setup-guide -a codex`. Or copy the skill folder (.claude/skills/setup-guide in Red-Hat-AI-Innovation-Team/training_hub) into .agents/skills/setup-guide in your project. Codex loads it when a task matches its description.

Can I use Setup Guide in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Red-Hat-AI-Innovation-Team/training_hub --skill setup-guide -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/setup-guide, .gemini/skills/setup-guide, .github/skills/setup-guide and .opencode/skills/setup-guide in your project.

What does Setup Guide need to run?

Going by SKILL.md and its folder, Setup Guide needs the command-line tools its instructions call (uv and pip). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash(${CLAUDE_PLUGIN_ROOT}/scripts/th_detect.sh:*), Bash(${CLAUDE_PLUGIN_ROOT}/scripts/th_estimate.sh:*).

Does Setup Guide access the network?

SKILL.md contains no URLs. Its commands use uv and pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Setup Guide safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Setup Guide use?

Setup Guide is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Setup Guide use?

About 959 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Setup Guide?

Skills that share tags, products or a category with Setup Guide: Setup Workshop Nemoclaw (brevdev/workshop-build-an-agent, 146 stars), ML Generative Mattergen (learningmatter-mit/AtomisticSkills, 176 stars), Cosmos3 Post Training (NVIDIA/cosmos-framework, 560 stars) and Spark Environment Setup (wshobson/agents, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Setup Guide?

Red-Hat-AI-Innovation-Team (a GitHub organization) maintains it in Red-Hat-AI-Innovation-Team/training_hub, which has 100 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 7, 2026.

Source: Red-Hat-AI-Innovation-Team/training_hub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Setup Guide

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

training_hub Setup Guide

Step 1: Detect Environment

Step 2: Install if Needed

Step 3: Check GPU

Step 4: Quick Setup or Custom

Full Configuration

Step 5: Hyperparameters

Step 6: Logging Config (Optional)

Step 7: Save Config

Step 8: Offer Memory Estimation

Updating Config

Files

Compare with similar skills

Similar skills

More from Red-Hat-AI-Innovation-Team/training_hub

Related

Questions about Setup Guide