CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

pytorch-fsdp

Fully sharded data-parallel training for large models.

39

Quality

49%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide
SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./optional-skills/mlops/pytorch-fsdp/SKILL.md
SKILL.md
Quality
Evals
Security

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
Repository

NousResearch/hermes-agent

Path

optional-skills/mlops/pytorch-fsdp/SKILL.md

Last updated
First committed

Canonical home

davila7/claude-code-templates
In sync

since Oct 21, 2026

Also appears in

synthetic-sciences/openscience
In sync

since Jul 27, 2026

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.