Hugging Face LLM Trainer
huggingface/skills
Trains or fine-tunes language and vision models with TRL or Unsloth on Hugging Face Jobs cloud GPUs, then converts the results to GGUF.
Add or modify an AReno algorithm, trainer, loss, advantage calculation, role model, or algorithm-specific configuration.
Install Areno Add Algorithm
$ npx skills add inclusionAI/AReno --skill areno-add-algorithm -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install inclusionAI/AReno areno-add-algorithm --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/inclusionAI/AReno.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/areno-add-algorithm .claude/skills/areno-add-algorithm && 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 "areno-add-algorithm" agent skill from https://github.com/inclusionAI/AReno/tree/main/.agents/skills/areno-add-algorithm into .claude/skills/areno-add-algorithm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "areno-add-algorithm", 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/inclusionAI/AReno/tree/main/.agents/skills/areno-add-algorithmType 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 inclusionAI/AReno --skill areno-add-algorithm -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install inclusionAI/AReno areno-add-algorithm --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/inclusionAI/AReno.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/areno-add-algorithm .agents/skills/areno-add-algorithm && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "areno-add-algorithm" agent skill from https://github.com/inclusionAI/AReno/tree/main/.agents/skills/areno-add-algorithm into .agents/skills/areno-add-algorithm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "areno-add-algorithm", 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 inclusionAI/AReno --skill areno-add-algorithm -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install inclusionAI/AReno areno-add-algorithm --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/inclusionAI/AReno.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/areno-add-algorithm .cursor/skills/areno-add-algorithm && 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 "areno-add-algorithm" agent skill from https://github.com/inclusionAI/AReno/tree/main/.agents/skills/areno-add-algorithm into .cursor/skills/areno-add-algorithm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "areno-add-algorithm", 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/inclusionAI/AReno.git --path .agents/skills/areno-add-algorithm--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 inclusionAI/AReno --skill areno-add-algorithm -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install inclusionAI/AReno areno-add-algorithm --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/inclusionAI/AReno.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/areno-add-algorithm .gemini/skills/areno-add-algorithm && 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 "areno-add-algorithm" agent skill from https://github.com/inclusionAI/AReno/tree/main/.agents/skills/areno-add-algorithm into .gemini/skills/areno-add-algorithm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "areno-add-algorithm", 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 inclusionAI/AReno areno-add-algorithmInstalls 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 inclusionAI/AReno --skill areno-add-algorithm -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/inclusionAI/AReno.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/areno-add-algorithm .github/skills/areno-add-algorithm && 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 "areno-add-algorithm" agent skill from https://github.com/inclusionAI/AReno/tree/main/.agents/skills/areno-add-algorithm into .github/skills/areno-add-algorithm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "areno-add-algorithm", 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 inclusionAI/AReno --skill areno-add-algorithm -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install inclusionAI/AReno areno-add-algorithm --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/inclusionAI/AReno.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/areno-add-algorithm .opencode/skills/areno-add-algorithm && 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 "areno-add-algorithm" agent skill from https://github.com/inclusionAI/AReno/tree/main/.agents/skills/areno-add-algorithm into .opencode/skills/areno-add-algorithm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "areno-add-algorithm", 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
areno-add-algorithm- GitHub stars
- 323
- Token cost
- ~501 tokens
- SKILL.md length
- 214 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 10
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Add or modify an AReno algorithm, trainer, loss, advantage calculation, role model, or algorithm-specific configuration.
- Works in 7 steps: Define whether the algorithm is offline,… → Specify input records, sequence… → Add the narrowest config type and… → …
- Framework-level SFT
- Runs Python scripts from its folder; calls python
- New optimization method development
What it does
Areno Add Algorithm is an agent skill from inclusionAI/AReno. Add or modify an AReno algorithm, trainer, loss, advantage calculation, role model, or algorithm-specific configuration. Use for framework-level SFT, DPO, GSPO, GRPO, PPO, or new optimization method development. Do not use merely to run an existing algorithm.
Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/ownership.md` and `scripts/inspect_algorithms.py`).
It sits in AI & LLM Engineering, covering Fine-tuning and Reinforcement learning. The repository describes itself as: An easy-to-use, fast toolkit to scale up RL post-training on a single node. The licence is Apache-2.0.
When your agent uses it
- Framework-level SFT
- New optimization method development
Example prompts
- “/areno-add-algorithm”
Requirements
- Python 3
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Define whether the algorithm is offline, rollout policy-only, or multi-role. Read references/ownership.md.
- Specify input records, sequence construction, masks, role models, loss inputs, and metrics before coding.
- Add the narrowest config type and preserve public defaults/compatibility.
- Put batch/materialization logic in the trainer and tensor mathematics in areno/api/loss_fns/ or advantage helpers.
- Register one AlgorithmSpec; load experimental implementations through areno/experimental/ when appropriate.
- Add CPU tests for registration, config, masks, exact small-tensor math, and trainer dispatch.
- Run the new algorithm end to end for at least two consecutive successful training steps using a real model and representative data. Verify…
What it can do on your machine
Read from SKILL.md and the folder at commit ce35e0d. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
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
Areno Add Algorithm loads about 501 tokens when it runs, and up to ~663 if it reads all its reference files. Until then it costs about 70 tokens; SKILL.md has 214 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); the scripts in this folder are not scanned.
SKILL.md
The full file from inclusionAI/AReno at commit ce35e0d, republished under its Apache-2.0 licence (© inclusionAI). 214 words, ~501 tokens.
Download SKILL.mdSave it as
.claude/skills/areno-add-algorithm/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- areno-add-algorithm
- description
- Add or modify an AReno algorithm, trainer, loss, advantage calculation, role model, or algorithm-specific configuration. Use for framework-level SFT, DPO, GSPO, GRPO, PPO, or new optimization method development. Do not use merely to run an existing algorithm.
Add an AReno Algorithm
Start from AlgorithmSpec and registration in areno/api/algorithms.py; do not add factory branches.
Develop on a dedicated local branch. Commit changes locally, then update the remote GPU checkout by fetching and pulling that branch; never patch source on the remote host. Use ModelScope for any model or dataset references used by the validation workload.
python .agents/skills/areno-add-algorithm/scripts/inspect_algorithms.pyWorkflow
- Define whether the algorithm is offline, rollout policy-only, or multi-role. Read references/ownership.md.
- Specify input records, sequence construction, masks, role models, loss inputs, and metrics before coding.
- Add the narrowest config type and preserve public defaults/compatibility.
- Put batch/materialization logic in the trainer and tensor mathematics in
areno/api/loss_fns/or advantage helpers. - Register one
AlgorithmSpec; load experimental implementations throughareno/experimental/when appropriate. - Add CPU tests for registration, config, masks, exact small-tensor math, and trainer dispatch.
- Run the new algorithm end to end for at least two consecutive successful training steps using a real model and representative data. Verify finite losses, metrics, and gradients on both steps. For rollout algorithms, also verify bounded GPU rollout/train logprob consistency.
Completion requires registry discovery, deterministic mathematical tests, evidence from at least two successful end-to-end training steps, and role lifecycle checks where applicable. A one-step smoke train is useful for diagnosis but does not complete algorithm validation.
© inclusionAI, 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
SKILL.md and 3 other files (scripts, references) in .agents/skills/areno-add-algorithm of inclusionAI/AReno.
- SKILL.md
- agents/openai.yaml
- references/ownership.md
- scripts/inspect_algorithms.py
Open the folder on GitHubat commit ce35e0d
Compare with similar skills
Areno Add Algorithm 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 |
|---|---|---|---|---|---|---|
| Areno Add Algorithm this skillinclusionAI/AReno | 323 | — | ~501 | Automated safety check: Pass | Apache-2.0 | |
| Hugging Face LLM Trainerhuggingface/skills | 11k | 3 repos | ~7.2k | Automated safety check: Pass | Apache-2.0 | |
| Train RlOpenPipe/ART | 11k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Qwopus27b Rl TrainingR6410418/Jackrong-llm-finetuning-guide | 1.7k | — | ~830 | Automated safety check: Pass | Apache-2.0 | |
| Fine Tuning With TrlOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Optim AgentOptim-Agent/optim-agent | 800 | — | ~1.3k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Areno Add Algorithm
What does Areno Add Algorithm do?
Add or modify an AReno algorithm, trainer, loss, advantage calculation, role model, or algorithm-specific configuration. Areno Add Algorithm is an agent skill from inclusionAI/AReno. Add or modify an AReno algorithm, trainer, loss, advantage calculation, role model, or algorithm-specific configuration.
When should I use Areno Add Algorithm?
Areno Add Algorithm fits situations like: framework-level SFT; new optimization method development.
How do I install Areno Add Algorithm in Claude Code?
Run `npx skills add inclusionAI/AReno --skill areno-add-algorithm -a claude-code`. Or copy the skill folder (.agents/skills/areno-add-algorithm in inclusionAI/AReno) into .claude/skills/areno-add-algorithm in your project. Claude Code loads it when a task matches its description.
How do I install Areno Add Algorithm in Codex?
Run `npx skills add inclusionAI/AReno --skill areno-add-algorithm -a codex`. Or copy the skill folder (.agents/skills/areno-add-algorithm in inclusionAI/AReno) into .agents/skills/areno-add-algorithm in your project. Codex loads it when a task matches its description.
Can I use Areno Add Algorithm 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 inclusionAI/AReno --skill areno-add-algorithm -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/areno-add-algorithm, .gemini/skills/areno-add-algorithm, .github/skills/areno-add-algorithm and .opencode/skills/areno-add-algorithm in your project.
What does Areno Add Algorithm need to run?
Going by SKILL.md and its folder, Areno Add Algorithm needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Areno Add Algorithm 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 Areno Add Algorithm 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Areno Add Algorithm use?
Areno Add Algorithm 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 Areno Add Algorithm use?
About 501 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 162 tokens, read only when the agent opens those files.
What are the alternatives to Areno Add Algorithm?
Skills that share tags, products or a category with Areno Add Algorithm: Hugging Face LLM Trainer (huggingface/skills, 11k stars), Train Rl (OpenPipe/ART, 11k stars), Qwopus27b Rl Training (R6410418/Jackrong-llm-finetuning-guide, 1.7k stars) and Fine Tuning With Trl (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 Areno Add Algorithm?
inclusionAI (a GitHub organization) maintains it in inclusionAI/AReno, which has 323 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on September 24, 2026.
Source: inclusionAI/AReno on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.