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Pytorch ML

Category: General  ·  Sub-category: orchestration-frameworks  ·  Last updated:
PyTorch deep learning framework. Use when the project needs this capability or the user / team manifest asks for it. Use for specialized `pytorch-ml` work when listed in TEAM.yaml or explicitly requested.
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From the source SKILL.md

Level: max specialized skill (not merged). Category hint: ai.

What this skill does

Pytorch ML is a community-contributed Claude Code skill in the orchestration-frameworks sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/pytorch-ml/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when the project needs this capability or the user / team manifest asks for it. Use for specialized `pytorch-ml` work when listed in TEAM.

Who uses this skill

The Pytorch ML Claude Code skill is built for Claude Code users and developers across all disciplines looking for general-purpose AI assistance. 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/pytorch-ml
curl -L https://claudskills.com/skills/pytorch-ml/SKILL.md \
  -o ~/.claude/skills/pytorch-ml/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/pytorch-ml/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/pytorch-ml/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\pytorch-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 Pytorch ML Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/pytorch-ml/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Pytorch ML skill do?
PyTorch deep learning framework. Use when the project needs this capability or the user / team manifest asks for it. Use for specialized `pytorch-ml` work when listed in TEAM.yaml or explicitly requested.
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 Pytorch ML skill?
Use Pytorch ML when your Claude Code task falls under the General category — specifically in the orchestration frameworks 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 Pytorch ML" or describe the task and let Claude pick). Browse related skills at /category/general/.
What is a Claude Code skill and how does the Pytorch 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. Pytorch ML is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the General 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
rogue-dev-studio. (2026). Pytorch ML [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/pytorch-ml/
BibTeX
@misc{pytorch-ml-2026,
  author    = {rogue-dev-studio},
  title     = {Pytorch ML [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/pytorch-ml/}
}

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Security scan

Grade A · scanned 2026-08-02 — free static scan against the OWASP Agentic Skills Top 10.

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