yolo-training SKILL.md skillA
yolo-training from ultralytics/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ultralytics/skills/yolo-training@git:20261101.a2f590fPins git:20261101.a2f590f in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- ultralytics/skills
- Path
skills/yolo-training/SKILL.md- Versions recorded
- 9
- Latest version
- git:20261101.a2f590f, committed Nov 1, 2026
- First version recorded
- Aug 11, 2026
- Size
- 11,328 bytes
- Repository stars
- 38
- License
- AGPL-3.0
Use when training, fine-tuning, or validating Ultralytics YOLO models in Platform, cloud GPUs, or local code — model.train(), yolo train/val, remote metric streaming, epochs, batch, imgsz, devices, augmentation, multi-GPU, resumes, results, and fixing OOM, NaN loss, low mAP, or overfitting. For hyperparameter search and systematic improvement loops, see yolo-tuning.
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
# Training & fine-tuning ## Fastest route: train in Platform Use [Platform cloud training](https://docs.ultralytics.com/platform/train/cloud-training) when you want to start in a few clicks without configuring a local GPU: 1. Click **New Model** on a project page, or on a dataset page to preselect that dataset. 2. Select a compatible pretrained model, ready dataset, GPU, epochs, image size, and batch size. 3. Click **Start Training** and watch live charts, console logs, and system metrics. 4. Open the completed model to inspect validation plots and use its **Predict**, **Export**, or **Deploy** tab. Platform preserves `best.pt` automatically. Cloud jobs require at least one train image, one val/test image, and one labeled image. Use local/Colab training when you already have compute or need more control, while keeping Platform datasets and experiment tracking: ```bash export ULTRALYTICS_API_KEY="YOUR_API_KEY" yolo train model=yolo26n.pt data=ul://username/datasets/dataset-slug \ epochs=100 project=username/project-slug name=experiment-1 ``` …
Read the whole file at its exact version.
How to install
mdr add ultralytics/skills/yolo-training@sha256:101987a2af4ac1b4The line at the top of this page pins the label git:20261101.a2f590f, 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_ytzpnaa4fsb5f5wr)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 9 versions of this file, between Aug 11, 2026 and Nov 1, 2026, about one every 10 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261101.a2f590f latest | 2026-11-01 | a2f590f | 11,328 B | A | view · diff |
| git:20261010.607a76c | 2026-10-10 | 607a76c | 11,306 B | A | view · diff |
| git:20261006.acfe53c | 2026-10-06 | acfe53c | 9,591 B | A | view · diff |
| git:20261006.e5cd7b8 | 2026-10-06 | e5cd7b8 | 9,511 B | A | view · diff |
| git:20260904.9c3b8ec | 2026-09-04 | 9c3b8ec | 9,262 B | A | view · diff |
| git:20260820.dcee0db | 2026-08-20 | dcee0db | 9,262 B | A | view · diff |
| git:20260814.05a799c | 2026-08-14 | 05a799c | 9,263 B | A | view · diff |
| git:20260811.e35dbcc | 2026-08-11 | e35dbcc | 8,969 B | A | view · diff |
| git:20260811.47343d9 | 2026-08-11 | 47343d9 | 7,664 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 (11328 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
ultralytics/skills · 38 stars · license AGPL-3.0 · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ytzpnaa4fsb5f5wr GET https://markdownregistry.com/api/v1/resolve?ref=ultralytics/skills/yolo-training GET https://markdownregistry.com/api/v1/blob/101987a2af4ac1b4199cf2bbc6fd21a80af0c6b93de09fc843af2d6a88e96623
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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