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pytorch-lightning SKILL.md skillA

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

Install it, pinned

mdr add orchestra-research/ai-research-skills/pytorch-lightning@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: orchestra-research/ai-research-skills
Path: 08-distributed-training/pytorch-lightning/SKILL.md
Versions recorded: 4
Latest version: v1.0.0, committed Nov 20, 2025
First version recorded: Nov 8, 2025
Size: 9,121 bytes
Repository stars: 13,718
License: MIT

High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best practices.

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 - High-Level Training Framework

## Quick start

PyTorch Lightning organizes PyTorch code to eliminate boilerplate while maintaining flexibility.

**Installation**:
```bash
pip install lightning
```

**Convert PyTorch to Lightning** (3 steps):

```python
import lightning as L
import torch
from torch import nn
from torch.utils.data import DataLoader, Dataset

# Step 1: Define LightningModule (organize your PyTorch code)
class LitModel(L.LightningModule):
    def __init__(self, hidden_size=128):
        super().__init__()
        self.model = nn.Sequential(
            nn.Linear(28 * 28, hidden_size),
            nn.ReLU(),
            nn.Linear(hidden_size, 10)
        )

    def training_step(self, batch, batch_idx):
        x, y = batch
        y_hat = self.model(x)
        loss = nn.functional.cross_entropy(y_hat, y)
        self.log('train_loss', loss)  # Auto-logged to TensorBoard
        return loss

    def configure_optimizers(self):
        return torch.optim.Adam(self.parameters(), lr=1e-3)

# Step 2: Create data
train_loader = DataLoader(train_dataset, batch_size=32)

# Step 3: Train with Trainer (handles everything else!)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add orchestra-research/ai-research-skills/pytorch-lightning@sha256:7788f93b6324f8d6

The line at the top of this page pins the label v1.0.0, 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](https://markdownregistry.com/badge/art_74z37insokhdprcj.svg)](https://markdownregistry.com/a/art_74z37insokhdprcj)

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

Versions

The registry has recorded 4 versions of this file, between Nov 8, 2025 and Nov 20, 2025, about one every 4 days.

version	committed	commit	size	audit
v1.0.0 latest	2025-11-20	51fc3a3	9,121 B	A	view · diff
v1.0.0	2025-11-20	81c38fe	9,120 B	A	view · diff
v1.0.0	2025-11-19	bd4461f	9,119 B	A	view · diff
git:20251108.9c3d6bc	2025-11-08	9c3d6bc	8,878 B	A	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 (9121 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

orchestra-research/ai-research-skills · 13,718 stars · license MIT · pushed 2026-10-11 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_74z37insokhdprcj
GET https://markdownregistry.com/api/v1/resolve?ref=orchestra-research/ai-research-skills/pytorch-lightning
GET https://markdownregistry.com/api/v1/blob/7788f93b6324f8d62d0d579a572164d303704b59fc7fefe12497afb75856c453

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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