pytorch-patterns SKILL.md skillA
pytorch-patterns from affaan-m/ecc is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add affaan-m/ecc/pytorch-patterns@git:20260607.4ad5756Pins git:20260607.4ad5756 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- affaan-m/ecc
- Path
.kiro/skills/pytorch-patterns/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260607.4ad5756, committed Jun 7, 2026
- Size
- 11,659 bytes
- Repository stars
- 299,696
- License
- MIT
PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.
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 Development Patterns
Idiomatic PyTorch patterns and best practices for building robust, efficient, and reproducible deep learning applications.
## When to Activate
- Writing new PyTorch models or training scripts
- Reviewing deep learning code
- Debugging training loops or data pipelines
- Optimizing GPU memory usage or training speed
- Setting up reproducible experiments
## Core Principles
### 1. Device-Agnostic Code
Always write code that works on both CPU and GPU without hardcoding devices.
```python
# Good: Device-agnostic
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
model = MyModel().to(device)
data = data.to(device)
# Bad: Hardcoded device
model = MyModel().cuda() # Crashes if no GPU
data = data.cuda()
```
### 2. Reproducibility First
Set all random seeds for reproducible results.
```python
# Good: Full reproducibility setup
def set_seed(seed: int = 42) -> None:
torch.manual_seed(seed)
torch.cuda.manual_seed_all(seed)
np.random.seed(seed)
random.seed(seed)
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = False
# Bad: No seed control
…Read the whole file at its exact version.
How to install
mdr add affaan-m/ecc/pytorch-patterns@sha256:22b76f559f17d4b0The line at the top of this page pins the label git:20260607.4ad5756, 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.
[](https://markdownregistry.com/a/art_o6o3z2hi3xb323co)
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Versions
The registry has recorded 1 version of this file, committed on Jun 7, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (11659 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
affaan-m/ecc · 299,696 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_o6o3z2hi3xb323co GET https://markdownregistry.com/api/v1/resolve?ref=affaan-m/ecc/pytorch-patterns GET https://markdownregistry.com/api/v1/blob/22b76f559f17d4b0e44eda71d353065e5da181203d165546edb08c16cc362d85
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.