A skill your agent uses when the user wants to set up synthetic data generation for the first time, or when sdghub is not yet installed/configured in the current environment.
Install the "setup-guide" agent skill from https://github.com/Red-Hat-AI-Innovation-Team/sdg_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.
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/sdg_hub --skill setup-guide -a codex
Project install goes to .agents/skills/; add -g for ~/.codex/skills/.
Install the "setup-guide" agent skill from https://github.com/Red-Hat-AI-Innovation-Team/sdg_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/sdg_hub --skill setup-guide -a cursor
Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.
Install the "setup-guide" agent skill from https://github.com/Red-Hat-AI-Innovation-Team/sdg_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.
--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/sdg_hub --skill setup-guide -a gemini-cli
Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.
Install the "setup-guide" agent skill from https://github.com/Red-Hat-AI-Innovation-Team/sdg_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.
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/sdg_hub --skill setup-guide -a github-copilot
Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.
Install the "setup-guide" agent skill from https://github.com/Red-Hat-AI-Innovation-Team/sdg_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/sdg_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/.
Install the "setup-guide" agent skill from https://github.com/Red-Hat-AI-Innovation-Team/sdg_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
164
Token cost
~1.1k tokens
SKILL.md length
501 words
Files
1
Skills in repo
4
Repo updated
First seen
Licence
Apache-2.0
At a glance
A skill your agent uses when the user wants to set up synthetic data generation for the first time, or when sdghub is not yet installed/configured in the current environment.
Works in 7 steps: Detect Environment → Install if Needed → Quick Setup or Custom → …
The user wants to set up synthetic data generation for the first time
SKILL.md covers Step 1: Detect Environment, Step 2: Install if Needed, Step 3: Quick Setup or Custom and Step 4: Collect Configuration, plus 4 more sections
Calls uv and pip; needs OPENAI_API_KEY and ANTHROPIC_API_KEY
What it does
Setup Guide is an agent skill from Red-Hat-AI-Innovation-Team/sdg_hub. Use when the user wants to set up synthetic data generation for the first time, or when sdghub is not yet installed/configured in the current environment.
Its SKILL.md is about 1.1k 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 Testing & QA, covering Test data and fixtures. It works with OpenAI. The repository describes itself as: Synthetic Data Generation Toolkit for LLMs. The licence is Apache-2.0.
When your agent uses it
The user wants to set up synthetic data generation for the first time
Sdghub is not yet installed/configured in the current environment
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 these keys or tokens, usually read from environment variables:
OPENAI_API_KEY
ANTHROPIC_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Setup Guide loads about 1.1k tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 501 words of instructions outside code blocks.
Always· name and description, kept in context so the agent knows when to use it
~42
When it runs· the whole SKILL.md, loaded when a task matches
~1.1k
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.
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 synthetic data generation for the first time, or when sdg_hub is not yet installed/configured in the current environment.
You are helping the user set up synthetic data generation.
Step 1: Detect Environment
"${CLAUDE_PLUGIN_ROOT}/scripts/sdg_detect.sh"
Step 2: Install if Needed
If library=missing:
Explain: "sdg_hub is a framework for synthetic data generation — it uses composable blocks and YAML-defined flows to build LLM training datasets from seed data."
Ask permission: "I can install it for you. Want me to proceed?"
If yes and installer=uv: run uv pip install sdg_hub
If yes and installer=pip: run pip install sdg_hub
If installer=none: tell the user they need Python and pip/uv installed first
If an API key was detected, offer a one-question fast path:
"I detected your OpenAI API key. I can set up with these defaults:
Model: openai/gpt-4o-mini
Temperature: 0.7
Concurrency: 5
Accept these defaults, or would you like to customize?"
If the user accepts, skip to Step 5 using the detected key and defaults.
For Anthropic keys, default to anthropic/claude-sonnet-4-20250514.
If no API key was detected, or the user wants to customize, proceed to Step 4.
Step 4: Collect Configuration
Ask these questions one at a time:
Model: "Which LLM model do you want to use for generation?" — e.g., openai/gpt-4o-mini, meta-llama/Llama-3.3-70B-Instruct, anthropic/claude-sonnet-4-20250514
API endpoint: "What's your model endpoint URL?" — e.g., http://localhost:8000/v1 for vLLM, or leave empty for cloud provider defaults
Temperature: "What temperature for generation?" (default: 0.7)
Max concurrency: "How many parallel LLM requests?" (default: 5) — higher is faster but may hit rate limits
Checkpoint directory: "Where should generation checkpoints be saved?" (default: ./checkpoints) — allows resuming interrupted runs
Show full SKILL.md (236 more words)Show less
Step 5: Ensure API Key
API keys are read from environment variables — never store them in the config file. LiteLLM (used by sdg_hub) reads standard env vars automatically.
If no API key was detected in Step 3, tell the user to set the appropriate environment variable:
"Set your API key as an environment variable before running generation:
For local endpoints (vLLM, Ollama) that don't require authentication, no API key is needed.
LiteLLM picks up these env vars automatically — no extra configuration required."
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/sdg_hub
Use inside RSIBench-Data when testing whether an automation agent can improve a target model on a configured benchmark through synthetic Tinker SFT data, Tinker sampling, and E2B-based Harbor…
Run the Kiln pre-release smoke test suite plus the standard CI checks (checks.sh), diagnose every prerelease test that broke (and why), and write a clean readable report with recommended actions.
A skill your agent uses when the user wants to set up synthetic data generation for the first time, or when sdghub is not yet installed/configured in the current environment. Setup Guide is an agent skill from Red-Hat-AI-Innovation-Team/sdg_hub. Use when the user wants to set up synthetic data generation for the first time, or when sdghub 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 synthetic data generation for the first time; sdghub 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/sdg_hub --skill setup-guide -a claude-code`. Or copy the skill folder (.claude/skills/setup-guide in Red-Hat-AI-Innovation-Team/sdg_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/sdg_hub --skill setup-guide -a codex`. Or copy the skill folder (.claude/skills/setup-guide in Red-Hat-AI-Innovation-Team/sdg_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/sdg_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) and credentials named OPENAI_API_KEY and ANTHROPIC_API_KEY. Our summary lists: Python 3; A credential in OPENAI_API_KEY; A credential in ANTHROPIC_API_KEY. Its frontmatter pre-approves these tools: Bash(${CLAUDE_PLUGIN_ROOT}/scripts/sdg_detect.sh:*), Bash(${CLAUDE_PLUGIN_ROOT}/scripts/sdg_flows.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 1.1k tokens (SKILL.md is roughly 4.3k 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: Datagen Standard Launch (open-thoughts/OpenThoughts-Agent, 301 stars), Reasoning Serialization Tests (tailcallhq/forgecode, 7.6k stars), LLM Provider (caliber-ai-org/ai-setup, 1.3k stars) and Rsibench Data Factory (evolvent-ai/RSIBench-Data, 171 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/sdg_hub, which has 164 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 9, 2026.