Autoresearch ML
Autonomous LLM training optimization with GPU support. Runs 5-minute training experiments, measures val_bpb, keeps improvements or reverts — repeat forever. Use this skill when the user asks to "train a model autonomously", "optimize LLM training", "run ML experiments", "autoresearch with GPU", "optimize val_bpb", "autonomous ML training", "LLM pretraining loop", "setup ML autoresearch", "GPU training experiments", "pretrain from scratch", "speed up training", "lower my loss", "GPU optimization", "CUDA training", or mentions "train.py", "prepare.py", "bits per byte", "val_bpb", "NVIDIA GPU training", "RTX training", "H100 training", "autonomous model training", "consumer GPU training", "low VRAM training". Always use this skill when the user wants to autonomously optimize any ML training metric.
Security AStatic scan found no risk patternsHow grading works ›
From the source SKILL.md
An autonomous experiment loop for single-GPU LLM pretraining. Edit train.py → commit → run 5-minute training → measure val_bpb → keep improvement or revert → repeat forever.
What this skill does
Autoresearch ML is a community-contributed Claude Code skill in the research-methods sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/autoresearch-ml/ and loads when your prompt matches the skill's trigger.
Who uses this skill
The Autoresearch ML Claude Code skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 174,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).
How to install
Free
Manual install (2 steps)
mkdir -p ~/.claude/skills/autoresearch-ml
curl -L https://claudskills.com/skills/autoresearch-ml/SKILL.md \
-o ~/.claude/skills/autoresearch-ml/SKILL.md
Or just download SKILL.md directly and drop it into ~/.claude/skills/autoresearch-ml/. Claude Code auto-discovers it on next session.
Skills live at ~/.claude/skills/autoresearch-ml/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\autoresearch-ml\SKILL.md on Windows. See the full install guide for step-by-step instructions.
Telegram
📱 Install from your phone or desktop Telegram
Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →
Pro
One-click install via the desktop app
The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.
Pro
For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.
Frequently asked questions
How do I install the Autoresearch ML Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy
SKILL.md from the source repository to
~/.claude/skills/autoresearch-ml/SKILL.md and restart Claude Code. Both flows are detailed at
claudskills.com/install/.
What does the Autoresearch ML skill do?
Autonomous LLM training optimization with GPU support. Runs 5-minute training experiments, measures val_bpb, keeps improvements or reverts — repeat forever. Use this skill when the user asks to "train a model autonomously", "optimize LLM training", "run ML experiments", "autoresearch with GPU", "optimize val_bpb", "autonomous ML training", "LLM pretraining loop", "setup ML autoresearch", "GPU training experiments", "pretrain from scratch", "speed up training", "lower my loss", "GPU optimization", "CUDA training", or mentions "train.py", "prepare.py", "bits per byte", "val_bpb", "NVIDIA GPU training", "RTX training", "H100 training", "autonomous model training", "consumer GPU training", "low VRAM training". Always use this skill when the user wants to autonomously optimize any ML training metric.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Autoresearch ML skill?
Use Autoresearch ML when your Claude Code task falls under the Science & Research category — specifically in the research methods area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Autoresearch ML" or describe the task and let Claude pick). Browse related skills at
/category/science/.
What is a Claude Code skill and how does the Autoresearch ML skill fit in?
A Claude Code skill is a
SKILL.md file that lives under
~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Autoresearch ML is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Science & Research category. Learn more at
/learn/what-is-a-claude-skill/.
Attribution & license
Cite this skill
If you reference this skill in a blog post, paper, or documentation, you can cite it as:
APA
majiayu000. (2026). Autoresearch ML [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/autoresearch-ml/
BibTeX
@misc{autoresearch-ml-2026,
author = {majiayu000},
title = {Autoresearch ML [Claude Code skill]},
year = {2026},
publisher = {ClaudSkills},
url = {https://claudskills.com/skills/autoresearch-ml/}
}
Embed this skill
Promote, attribute, or link this skill from your own README, blog post, or documentation. All three snippets are free to use — no sign-up, no API key. More distribution surfaces →
Badge
[](https://claudskills.com/skills/autoresearch-ml/?utm_source=badge&utm_medium=readme&utm_campaign=skill_badge)
<script>
<script src="https://claudskills.com/embed/autoresearch-ml.js" async></script>
<iframe>
<iframe src="https://claudskills.com/embed/autoresearch-ml.html" width="100%" height="160" frameborder="0" loading="lazy" title="ClaudSkills: Autoresearch ML"></iframe>
Security scan
Grade A · scanned 2026-08-02 — free static scan against the OWASP Agentic Skills Top 10.
No risk patterns were found in any of the ten OWASP-aligned categories. How grading works ›
- ✓ Prompt injection
- ✓ Data exfiltration
- ✓ Supply chain
- ✓ Reverse shell
- ✓ Credentials
- ✓ Execution
- ✓ Filesystem
- ✓ Persistence
- ✓ Obfuscation
- ✓ Network
Show this grade on your repo (click to copy):
[](https://claudskills.com/skills/autoresearch-ml/#security)
More Science & Research skills
Browse all Science & Research skills in the ClaudSkills registry, or explore these other picks from the same category:
Part of Acreator Store — Adam Lankamer's AI tools:
PerfectStudio ·
Ucaption ·
UTagger ·
AutoXPoster ·
TestYourSkills ·
AutomationFlows ·
Au Naturel ·
Telegram @acreatorstore