pytorch-lightning SKILL.md skillA

pytorch-lightning from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add k-dense-ai/scientific-agent-skills/pytorch-lightning@v1.4

Pins v1.4 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
k-dense-ai/scientific-agent-skills
Path
skills/pytorch-lightning/SKILL.md
Versions recorded
6
Latest version
v1.4, committed Oct 1, 2026
First version recorded
Jun 11, 2026
Size
10,262 bytes
Repository stars
56,497
License
MIT

Deep learning framework (PyTorch Lightning / lightning package). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard, MLflow), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# PyTorch Lightning

## Overview

PyTorch Lightning is a deep learning framework that organizes PyTorch code to eliminate boilerplate while maintaining full flexibility. Automate training workflows, multi-device orchestration, and implement best practices for neural network training and scaling across multiple GPUs/TPUs.

**Reviewed release:** [Lightning 2.6.6](https://github.com/Lightning-AI/pytorch-lightning/releases/tag/2.6.6), including its checkpoint-loading security fixes. CPU tests use Python 3.11, Torch 2.14.1 and Lightning 2.6.6. Use `import lightning as L` with the `lightning` distribution. The alternative `pytorch-lightning` distribution exposes `import pytorch_lightning as pl`; do not mix class namespaces within one application. GPU, TPU, multi-node and online logger examples are source-verified illustrations, not executed training validation.

## Installation

```bash
uv pip install "lightning==2.6.6"
```

Optional extras:

```bash
uv pip install "lightning[extra]==2.6.6"    # loggers, strategies, etc.
uv pip install wandb mlflow        # specific loggers as needed
```

## When to Use This Skill

This skill should be used when:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add k-dense-ai/scientific-agent-skills/pytorch-lightning@sha256:d8829e74e8a1d908

The line at the top of this page pins the label v1.4, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_hcogcdeqjjoma4op.svg)](https://markdownregistry.com/a/art_hcogcdeqjjoma4op)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 6 versions of this file, between Jun 11, 2026 and Oct 1, 2026, about one every 22 days.

versioncommittedcommitsizeaudit
v1.4 latest2026-10-01 a92663a 10,262 BA view · diff
v1.32026-09-30 ce9e6e9 8,904 BA view · diff
v1.22026-09-02 1e5eeff 8,446 BA view · diff
v1.12026-07-28 4fb7e0b 7,489 BA view · diff
v1.02026-07-26 b085e11 7,489 BA view · diff
git:20260611.1b8fae32026-06-11 1b8fae3 7,494 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (10262 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

k-dense-ai/scientific-agent-skills · 56,497 stars · license MIT · pushed 2026-11-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_hcogcdeqjjoma4op
GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/pytorch-lightning
GET https://markdownregistry.com/api/v1/blob/d8829e74e8a1d908f923cf0c0a850ecfdd9edcb004d2fa90ec32fb1ed0006ce8

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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