tinygrad SKILL.md skillA
tinygrad from av/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add av/skills/tinygrad@git:20260130.b1a384bPins git:20260130.b1a384b in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- av/skills
- Path
tinygrad/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260130.b1a384b, committed Jan 30, 2026
- Size
- 4,685 bytes
- Repository stars
- 28
- License
- MIT
Deep learning framework development with tinygrad - a minimal tensor library with autograd, JIT compilation, and multi-device support. Use when writing neural networks, training models, implementing tensor operations, working with UOps/PatternMatcher for graph transformations, or contributing to tinygrad internals. Triggers on tinygrad imports, Tensor operations, nn modules, optimizer usage, schedule/codegen work, or device backends.
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
# tinygrad A minimal deep learning framework focused on beauty and minimalism. Every line must earn its keep. ## Quick Reference ```python from tinygrad import Tensor, TinyJit, nn, dtypes, Device, GlobalCounters # Tensor creation x = Tensor([1, 2, 3]) x = Tensor.rand(2, 3) x = Tensor.kaiming_uniform(128, 784) # Operations are lazy until realized y = (x + 1).relu().sum() y.realize() # or y.numpy() # Training context with Tensor.train(): loss = model(x).sparse_categorical_crossentropy(labels).backward() optim.step() ``` ## Architecture Pipeline 1. **Tensor** (`tinygrad/tensor.py`) - User API, creates UOp graph 2. **UOp** (`tinygrad/uop/ops.py`) - Unified IR for all operations 3. **Schedule** (`tinygrad/engine/schedule.py`) - Converts tensor UOps to kernel UOps 4. **Codegen** (`tinygrad/codegen/`) - Converts kernel UOps to device code 5. **Runtime** (`tinygrad/runtime/`) - Device-specific execution ## Training Loop Pattern ```python from tinygrad import Tensor, TinyJit, nn from tinygrad.nn.datasets import mnist X_train, Y_train, X_test, Y_test = mnist() model = Model() optim = nn.optim.Adam(nn.state.get_parameters(model)) @TinyJit @Tensor.train() def train_step(): …
Read the whole file at its exact version.
How to install
mdr add av/skills/tinygrad@sha256:ba0013b271bb274eThe line at the top of this page pins the label git:20260130.b1a384b, 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_xske7znkdgusbkf2)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jan 30, 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 (4685 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
av/skills · 28 stars · license MIT · pushed 2026-10-21 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_xske7znkdgusbkf2 GET https://markdownregistry.com/api/v1/resolve?ref=av/skills/tinygrad GET https://markdownregistry.com/api/v1/blob/ba0013b271bb274ed0bc8a599af2c29ee6579cdb42517f6a1433211fd4e882b7
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.