cuml SKILL.md skillA
cuml from nvidia/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia/skills/cuml@git:20261105.fc38e72Pins git:20261105.fc38e72 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia/skills
- Path
skills/cuml/SKILL.md- Versions recorded
- 2
- Latest version
- git:20261105.fc38e72, committed Nov 5, 2026
- First version recorded
- Nov 2, 2026
- Size
- 7,564 bytes
- Repository stars
- 3,871
- License
- Apache-2.0
Use when writing, running, debugging or upgrading Python code that uses NVIDIA cuML (GPU machine learning), cuml.accel (zero-code-change GPU acceleration of scikit-learn, umap-learn and hdbscan), or GPU UMAP/HDBSCAN/RandomForest/KMeans/SVC, including through libraries that wrap cuML (BERTopic, rapids-singlecell). Covers APIs removed or renamed in 2025-2026 releases, verifying code really ran on the GPU, large-data UMAP/HDBSCAN memory recipes, and exporting trained models. Not for cuDF-only…
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
# cuML cuML releases every two months and removes deprecated APIs, so your training data is likely to contain APIs that no longer exist. Look things up in the installed cuML instead of recalling them. ## Ground facts - Install from pypi.org: `pip install cuml-cu13` (CUDA 13 driver, >= 580) or `cuml-cu12`. No extra index URL is needed. `pip install cuml` installs an unrelated placeholder. - Check the [installation guide](https://docs.nvidia.com/datascience/install/) for supported GPUs, operating systems, Python versions, CUDA/driver requirements, and install commands. Linux only; on Windows use WSL2. - Google Colab GPU runtimes ship cuML preinstalled: check `pip list` before installing anything there. - `cuml.accel` runs unmodified scikit-learn / umap-learn / hdbscan code on the GPU and falls back to the CPU for anything unsupported. It accelerates RandomForest, LogisticRegression, Ridge, KMeans, DBSCAN, PCA, SVC, KNN, UMAP, HDBSCAN, scalers, encoders and more. - Enable it with `python -m cuml.accel script.py`, `%load_ext cuml.accel` (first notebook cell), `CUML_ACCEL_ENABLED=1`, or `cuml.accel.install()` before importing sklearn. …
Read the whole file at its exact version.
How to install
mdr add nvidia/skills/cuml@sha256:738ef73de0cc5136The line at the top of this page pins the label git:20261105.fc38e72, 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_4d6hjdlpvo37a2gx)
0 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Nov 2, 2026 and Nov 5, 2026, about one every 3 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261105.fc38e72 latest | 2026-11-05 | fc38e72 | 7,564 B | A | view · diff |
| git:20261102.e33b0c3 | 2026-11-02 | e33b0c3 | 7,558 B | A | view |
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 (7564 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
nvidia/skills · 3,871 stars · license Apache-2.0 · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_4d6hjdlpvo37a2gx GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/cuml GET https://markdownregistry.com/api/v1/blob/738ef73de0cc5136964741d77616c83da6677449bdcf50ed9f95cbea0e43d319
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.