Agent skill

Pytorch Fsdp

by Luciole-Studio in Luciole-Studio/Misaka-Agent

Fully sharded data-parallel training for large models. An agent skill from Luciole-Studio/Misaka-Agent.

MITAuto-check passedAI & LLM Engineering

Install Pytorch Fsdp

skills CLI
$ npx skills add Luciole-Studio/Misaka-Agent --skill pytorch-fsdp -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Luciole-Studio/Misaka-Agent pytorch-fsdp --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Luciole-Studio/Misaka-Agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/misaka/core/skills/assets/optional/mlops/pytorch-fsdp .claude/skills/pytorch-fsdp && rm -rf skills-src

Use ~/.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/

Facts

Skill name
pytorch-fsdp
GitHub stars
158
Used in
1 other repo
Token cost
~619 tokens
SKILL.md length
260 words
Files
4 (incl. references)
Skills in repo
77
Repo updated
First seen
Licence
MIT

At a glance

Fully sharded data-parallel training for large models. An agent skill from Luciole-Studio/Misaka-Agent.

  • Works in 2 steps: Re-run the scraper with the same… → The skill will be rebuilt with the…
  • Tasks that involve Deep learning
  • SKILL.md covers When to Use This Skill, Quick Reference, Reference Files and Working with This Skill, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Pytorch Fsdp is an agent skill from Luciole-Studio/Misaka-Agent. Fully sharded data-parallel training for large models.

Its SKILL.md is about 620 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/common-patterns.md`, `references/index.md` and `references/other.md`).

It sits in AI & LLM Engineering, covering Deep learning. It works with PyTorch. The repository describes itself as: A multi-agent research system for the humanities and social sciences. The licence is MIT.

When your agent uses it

  • Tasks that involve Deep learning

Example prompts

  • “/pytorch-fsdp”

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Re-run the scraper with the same configuration
  2. The skill will be rebuilt with the latest information

What it can do on your machine

Read from SKILL.md and the folder at commit 3bcf7a3. 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

    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

Pytorch Fsdp loads about 619 tokens when it runs, and up to ~125k if it reads all its reference files. Until then it costs about 17 tokens; SKILL.md has 260 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~17
When it runs · the whole SKILL.md, loaded when a task matches
~619
With references · SKILL.md plus every file in references/, read only if the agent opens them
~125k

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 Luciole-Studio/Misaka-Agent at commit 3bcf7a3, republished under its MIT licence (© Luciole-Studio). 260 words, ~619 tokens.

Download SKILL.mdSave it as .claude/skills/pytorch-fsdp/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
pytorch-fsdp
description
Fully sharded data-parallel training for large models.
version
1.0.0
author
Orchestra Research
license
MIT
dependencies
torch>=2.0, transformers
platforms
linux, macos

Pytorch-Fsdp Skill

Assistance with pytorch-fsdp development, generated from official documentation.

When to Use This Skill

This skill should be triggered when:

  • Working with pytorch-fsdp
  • Asking about pytorch-fsdp features or APIs
  • Implementing pytorch-fsdp solutions
  • Debugging pytorch-fsdp code
  • Learning pytorch-fsdp best practices

Quick Reference

The full common-patterns catalog (~157k chars of runnable FSDP snippets) lives in references/common-patterns.md — load it with read_file when you need wrapping, sharding-strategy, checkpoint, or mixed-precision examples. Start there rather than reconstructing FSDP incantations from memory.

Reference Files

This skill includes comprehensive documentation in references/:

  • other.md - Other documentation

Use view to read specific reference files when detailed information is needed.

Working with This Skill

For Beginners

Start with the getting_started or tutorials reference files for foundational concepts.

For Specific Features

Use the appropriate category reference file (api, guides, etc.) for detailed information.

For Code Examples

The quick reference section above contains common patterns extracted from the official docs.

Resources

references/

Organized documentation extracted from official sources. These files contain:

  • Detailed explanations
  • Code examples with language annotations
  • Links to original documentation
  • Table of contents for quick navigation
scripts/

Add helper scripts here for common automation tasks.

assets/

Add templates, boilerplate, or example projects here.

Notes

  • This skill was automatically generated from official documentation
  • Reference files preserve the structure and examples from source docs
  • Code examples include language detection for better syntax highlighting
  • Quick reference patterns are extracted from common usage examples in the docs

Updating

To refresh this skill with updated documentation:

  1. Re-run the scraper with the same configuration
  2. The skill will be rebuilt with the latest information

© Luciole-Studio, MIT. 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 (references) in misaka/core/skills/assets/optional/mlops/pytorch-fsdp of Luciole-Studio/Misaka-Agent.

  • SKILL.md
  • references/common-patterns.md
  • references/index.md
  • references/other.md

Open the folder on GitHubat commit 3bcf7a3

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in Luciole-Studio/Misaka-Agent, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Pytorch Fsdp 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.

Pytorch Fsdp compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Pytorch Fsdp this skillLuciole-Studio/Misaka-Agent1581 repos~619Automated safety check: PassMIT
Add Uint Supportpytorch/pytorch104k2 repos~2.3kAutomated safety check: PassCustom licence
CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs13k7 repos~1.7kAutomated safety check: PassMIT
Add Torch Shapes Examplefacebook/pyrefly7.1k—~1.3kAutomated safety check: PassMIT
MUSA GPU Training Optimizeropen-infra-skills/infra-skills141—~1.7kAutomated safety check: PassApache-2.0
Ghstack CIpytorch/pytorch104k—~1.4kAutomated safety check: PassCustom licence

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Works with

Questions about Pytorch Fsdp

What does Pytorch Fsdp do?

Fully sharded data-parallel training for large models. An agent skill from Luciole-Studio/Misaka-Agent. Pytorch Fsdp is an agent skill from Luciole-Studio/Misaka-Agent. Fully sharded data-parallel training for large models.

When should I use Pytorch Fsdp?

Pytorch Fsdp fits situations like: tasks that involve Deep learning.

How do I install Pytorch Fsdp in Claude Code?

Run `npx skills add Luciole-Studio/Misaka-Agent --skill pytorch-fsdp -a claude-code`. Or copy the skill folder (misaka/core/skills/assets/optional/mlops/pytorch-fsdp in Luciole-Studio/Misaka-Agent) into .claude/skills/pytorch-fsdp in your project. Claude Code loads it when a task matches its description.

How do I install Pytorch Fsdp in Codex?

Run `npx skills add Luciole-Studio/Misaka-Agent --skill pytorch-fsdp -a codex`. Or copy the skill folder (misaka/core/skills/assets/optional/mlops/pytorch-fsdp in Luciole-Studio/Misaka-Agent) into .agents/skills/pytorch-fsdp in your project. Codex loads it when a task matches its description.

Can I use Pytorch Fsdp 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 Luciole-Studio/Misaka-Agent --skill pytorch-fsdp -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pytorch-fsdp, .gemini/skills/pytorch-fsdp, .github/skills/pytorch-fsdp and .opencode/skills/pytorch-fsdp in your project.

What does Pytorch Fsdp need to run?

SKILL.md names no scripts, command-line tools or credentials: Pytorch Fsdp is instructions for the agent only.

Does Pytorch Fsdp 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 Pytorch Fsdp 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 Pytorch Fsdp use?

Pytorch Fsdp is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Pytorch Fsdp use?

About 619 tokens (SKILL.md is roughly 2.5k 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 124k tokens, read only when the agent opens those files.

What are the alternatives to Pytorch Fsdp?

Skills that share tags, products or a category with Pytorch Fsdp: Add Uint Support (pytorch/pytorch, 104k stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars), Add Torch Shapes Example (facebook/pyrefly, 7.1k stars) and MUSA GPU Training Optimizer (open-infra-skills/infra-skills, 141 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pytorch Fsdp?

Luciole-Studio (a GitHub organization) maintains it in Luciole-Studio/Misaka-Agent, which has 158 GitHub stars. The repository holds 77 skills in this directory. The repository was last updated on October 8, 2026.

Source: Luciole-Studio/Misaka-Agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.