Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
A skill your agent uses when the user wants to run a training job using a saved configuration.
Install Training Guide
$ npx skills add Red-Hat-AI-Innovation-Team/training_hub --skill training-guide -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Red-Hat-AI-Innovation-Team/training_hub training-guide --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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/training-guide .claude/skills/training-guide && rm -rf skills-srcUse ~/.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/
Install the "training-guide" agent skill from https://github.com/Red-Hat-AI-Innovation-Team/training_hub/tree/main/.claude/skills/training-guide into .claude/skills/training-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "training-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 install https://github.com/Red-Hat-AI-Innovation-Team/training_hub/tree/main/.claude/skills/training-guideType 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.
$ npx skills add Red-Hat-AI-Innovation-Team/training_hub --skill training-guide -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Red-Hat-AI-Innovation-Team/training_hub training-guide --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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/training-guide .agents/skills/training-guide && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "training-guide" agent skill from https://github.com/Red-Hat-AI-Innovation-Team/training_hub/tree/main/.claude/skills/training-guide into .agents/skills/training-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "training-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.
$ npx skills add Red-Hat-AI-Innovation-Team/training_hub --skill training-guide -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Red-Hat-AI-Innovation-Team/training_hub training-guide --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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/training-guide .cursor/skills/training-guide && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "training-guide" agent skill from https://github.com/Red-Hat-AI-Innovation-Team/training_hub/tree/main/.claude/skills/training-guide into .cursor/skills/training-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "training-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 https://github.com/Red-Hat-AI-Innovation-Team/training_hub.git --path .claude/skills/training-guide--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Red-Hat-AI-Innovation-Team/training_hub --skill training-guide -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Red-Hat-AI-Innovation-Team/training_hub training-guide --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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/training-guide .gemini/skills/training-guide && rm -rf skills-srcUse ~/.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/
Install the "training-guide" agent skill from https://github.com/Red-Hat-AI-Innovation-Team/training_hub/tree/main/.claude/skills/training-guide into .gemini/skills/training-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "training-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.
$ gh skill install Red-Hat-AI-Innovation-Team/training_hub training-guideInstalls 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).
$ npx skills add Red-Hat-AI-Innovation-Team/training_hub --skill training-guide -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ 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/training-guide .github/skills/training-guide && rm -rf skills-srcUse ~/.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/
Install the "training-guide" agent skill from https://github.com/Red-Hat-AI-Innovation-Team/training_hub/tree/main/.claude/skills/training-guide into .github/skills/training-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "training-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.
$ npx skills add Red-Hat-AI-Innovation-Team/training_hub --skill training-guide -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Red-Hat-AI-Innovation-Team/training_hub training-guide --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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/training-guide .opencode/skills/training-guide && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "training-guide" agent skill from https://github.com/Red-Hat-AI-Innovation-Team/training_hub/tree/main/.claude/skills/training-guide into .opencode/skills/training-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "training-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
training-guide- GitHub stars
- 100
- Token cost
- ~346 tokens
- SKILL.md length
- 112 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 run a training job using a saved configuration.
- Works in 3 steps: Check Environment → Execute Training → Present Results
- The user wants to run a training job using a saved configuration
- SKILL.md covers Step 1: Check Environment, Step 2: Execute Training and Step 3: Present Results
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Training Guide is an agent skill from Red-Hat-AI-Innovation-Team/training_hub. Use when the user wants to run a training job using a saved configuration. For algorithm selection, hyperparameter advice, or troubleshooting, use the training-hub-guide skill instead.
Its SKILL.md is about 350 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. 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 run a training job using a saved configuration
Example prompts
- “/training-guide”
Requirements
- Pre-approved tools (allowed-tools): Bash(${CLAUDE_PLUGIN_ROOT}/scripts/th_train.sh:*), Bash(${CLAUDE_PLUGIN_ROOT}/scripts/th_detect.sh:*)
Workflow steps
3 steps, taken from the step headings in SKILL.md.
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(${CLAUDE_PLUGIN_ROOT}/scripts/th_train.sh:*)Bash(${CLAUDE_PLUGIN_ROOT}/scripts/th_detect.sh:*)
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Training Guide loads about 346 tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 112 words of instructions outside code blocks.
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). 112 words, ~346 tokens.
Download SKILL.mdSave it as
.claude/skills/training-guide/SKILL.md (or your agent's skills folder).- name
- training-guide
- description
- Use when the user wants to run a training job using a saved configuration. For algorithm selection, hyperparameter advice, or troubleshooting, use the training-hub-guide skill instead.
- allowed-tools
- Bash(${CLAUDE_PLUGIN_ROOT}/scripts/th_train.sh:*), Bash(${CLAUDE_PLUGIN_ROOT}/scripts/th_detect.sh:*)
Run Training
Execute LLM training using a saved configuration.
Step 1: Check Environment
"${CLAUDE_PLUGIN_ROOT}/scripts/th_detect.sh"If not ready
library=missingorconfig=missing: invoke thesetup-guideskill.gpu=unavailable: warn that training requires CUDA-capable GPUs.
If ready (library=installed, config=found)
Proceed to Step 2.
Step 2: Execute Training
Run the training script with any user-provided overrides:
"${CLAUDE_PLUGIN_ROOT}/scripts/th_train.sh" $ARGUMENTSStep 3: Present Results
- Training status — Whether training completed successfully
- Algorithm used — Which algorithm and backend were used
- Checkpoint location — Where the trained model was saved
- Loss summary — If available, show final loss values
If training failed, consult the training-hub-guide skill for troubleshooting (OOM, loss interpretation, backend-specific issues).
Remind the user they can visualize training loss with training_hub.plot_loss().
© Red-Hat-AI-Innovation-Team, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .claude/skills/training-guide of Red-Hat-AI-Innovation-Team/training_hub.
Open the folder on GitHubat commit 511a905
Compare with similar skills
Training 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Training Guide this skillRed-Hat-AI-Innovation-Team/training_hub | 100 | — | ~346 | Automated safety check: Pass | Apache-2.0 | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.9k | 14 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
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Add Uint Support
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LLM Benchmarking with lm-evaluation-harness
Orchestra-Research/AI-Research-SKILLs
Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.
Segment Anything Model Guide
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
1password
trpc-group/trpc-agent-go
Set up and use 1Password CLI (op). An agent skill from trpc-group/trpc-agent-go.
Planning With Files
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Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage.
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Training Hub Guide
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Guides users through LLM post-training with Training Hub, including installation, algorithm selection (SFT, OSFT, LoRA), hyperparameter tuning, troubleshooting OOM errors, interpreting loss curves…
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Related
Categories
Questions about Training Guide
What does Training Guide do?
A skill your agent uses when the user wants to run a training job using a saved configuration. Training Guide is an agent skill from Red-Hat-AI-Innovation-Team/training_hub. Use when the user wants to run a training job using a saved configuration.
When should I use Training Guide?
Training Guide fits situations like: the user wants to run a training job using a saved configuration.
How do I install Training Guide in Claude Code?
Run `npx skills add Red-Hat-AI-Innovation-Team/training_hub --skill training-guide -a claude-code`. Or copy the skill folder (.claude/skills/training-guide in Red-Hat-AI-Innovation-Team/training_hub) into .claude/skills/training-guide in your project. Claude Code loads it when a task matches its description.
How do I install Training Guide in Codex?
Run `npx skills add Red-Hat-AI-Innovation-Team/training_hub --skill training-guide -a codex`. Or copy the skill folder (.claude/skills/training-guide in Red-Hat-AI-Innovation-Team/training_hub) into .agents/skills/training-guide in your project. Codex loads it when a task matches its description.
Can I use Training 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 training-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/training-guide, .gemini/skills/training-guide, .github/skills/training-guide and .opencode/skills/training-guide in your project.
What does Training Guide need to run?
SKILL.md names no scripts, command-line tools or credentials: Training Guide is instructions for the agent only. Its frontmatter pre-approves these tools: Bash(${CLAUDE_PLUGIN_ROOT}/scripts/th_train.sh:*), Bash(${CLAUDE_PLUGIN_ROOT}/scripts/th_detect.sh:*).
Does Training Guide access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Training 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 Training Guide use?
Training 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 Training Guide use?
About 346 tokens (SKILL.md is roughly 1.4k 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 Training Guide?
Skills that share tags, products or a category with Training Guide: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Training 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.