domain-ml SKILL.md skillA
domain-ml from moeru-ai/auv is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add moeru-ai/auv/domain-ml@git:20260725.8a8e541Pins git:20260725.8a8e541 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- moeru-ai/auv
- Path
.agents/skills/domain-ml/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260725.8a8e541, committed Jul 25, 2026
- Size
- 4,711 bytes
- Repository stars
- 202
- License
- Apache-2.0
Use when building ML/AI apps in Rust. Keywords: machine learning, ML, AI, tensor, model, inference, neural network, deep learning, training, prediction, ndarray, tch-rs, burn, candle, 机器学习, 人工智能, 模型推理.
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
# Machine Learning Domain
> **Layer 3: Domain Constraints**
## Domain Constraints → Design Implications
| Domain Rule | Design Constraint | Rust Implication |
|-------------|-------------------|------------------|
| Large data | Efficient memory | Zero-copy, streaming |
| GPU acceleration | CUDA/Metal support | candle, tch-rs |
| Model portability | Standard formats | ONNX |
| Batch processing | Throughput over latency | Batched inference |
| Numerical precision | Float handling | ndarray, careful f32/f64 |
| Reproducibility | Deterministic | Seeded random, versioning |
---
## Critical Constraints
### Memory Efficiency
```
RULE: Avoid copying large tensors
WHY: Memory bandwidth is bottleneck
RUST: References, views, in-place ops
```
### GPU Utilization
```
RULE: Batch operations for GPU efficiency
WHY: GPU overhead per kernel launch
RUST: Batch sizes, async data loading
```
### Model Portability
```
RULE: Use standard model formats
WHY: Train in Python, deploy in Rust
RUST: ONNX via tract or candle
```
---
## Trace Down ↓
From constraints to design (Layer 2):
```
"Need efficient data pipelines"
↓ m10-performance: Streaming, batching
↓ polars: Lazy evaluation
…Read the whole file at its exact version.
How to install
mdr add moeru-ai/auv/domain-ml@sha256:27db4b6a8e891ff9The line at the top of this page pins the label git:20260725.8a8e541, 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_monju3tmr45wknos)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 25, 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 (4711 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
moeru-ai/auv · 202 stars · license Apache-2.0 · pushed 2026-11-04 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_monju3tmr45wknos GET https://markdownregistry.com/api/v1/resolve?ref=moeru-ai/auv/domain-ml GET https://markdownregistry.com/api/v1/blob/27db4b6a8e891ff903aa5a5f10bc4f28c9f319c9a1c7012cbb34f50148033d20
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.