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yolo-inference

ultralytics/skills · skills.sh

Open source Repository Open in the app JSON README (API)

About

Skill publicada por ultralytics/skills no skills.sh. Instale com: npx skills add ultralytics/skills@yolo-inference

Details

Kind
Agent skills
Publisher
ultralytics
Origin
skillssh
Category
ferramentas
Stars
28
Last push
2026-10-06T18:07:23Z
Repository state
ativo
License
AGPL-3.0
Added
2026-10-07 05:31:06
Updated
2026-10-07 05:31:06
Origin id
ultralytics/skills/yolo-inference

README

<a href="https://www.ultralytics.com"><img src="https://raw.githubusercontent.com/ultralytics/assets/main/logo/Ultralytics_Logotype_Original.svg" width="320" alt="Ultralytics logo"></a>

[English](https://github.com/ultralytics/skills/blob/HEAD/README.md) | [简体中文](https://github.com/ultralytics/skills/blob/HEAD/README.zh-CN.md)

# 🧠 Ultralytics Agent Skills

Agent skills for [Ultralytics Platform](https://platform.ultralytics.com), the [`ultralytics`](https://github.com/ultralytics/ultralytics) Python package, and the `yolo` CLI. They teach AI coding agents (Claude Code, Codex, Cursor, and any agent that reads the [Agent Skills format](https://agentskills.io)) the full computer-vision lifecycle: data/annotation → training → tuning → inference/tracking → export/deployment.

[![CI](https://github.com/ultralytics/skills/actions/workflows/ci.yml/badge.svg)](https://github.com/ultralytics/skills/actions/workflows/ci.yml) [![Ultralytics Actions](https://github.com/ultralytics/skills/actions/workflows/format.yml/badge.svg)](https://github.com/ultralytics/skills/actions/workflows/format.yml)

[![Ultralytics Discord](https://img.shields.io/discord/1089800235347353640?logo=discord&logoColor=white&label=Discord&color=blue)](https://discord.com/invite/ultralytics) [![Ultralytics Forums](https://img.shields.io/discourse/users?server=https%3A%2F%2Fcommunity.ultralytics.com&logo=discourse&label=Forums&color=blue)](https://community.ultralytics.com) [![Ultralytics Reddit](https://img.shields.io/reddit/subreddit-subscribers/ultralytics?style=flat&logo=reddit&logoColor=white&label=Reddit&color=blue)](https://www.reddit.com/r/ultralytics/)

## 🧩 Skills

| Skill                                              | Use it for                                                                                                                       |
| -------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------- |
| [`yolo`](https://github.com/ultralytics/skills/blob/HEAD/skills/yolo/SKILL.md)                     | Platform and local lifecycle overview, core CLI/Python grammar, routing to the other skills                                      |
| [`yolo-models`](https://github.com/ultralytics/skills/blob/HEAD/skills/yolo-models/SKILL.md)       | Choosing family/size/task variant: YOLO26/11/v8, YOLO-World, YOLOE, SAM, RT-DETR; exact weight names                             |
| [`yolo-datasets`](https://github.com/ultralytics/skills/blob/HEAD/skills/yolo-datasets/SKILL.md)   | Platform upload/annotation, data.yaml, formats, converters, splitting, validation                                                |
| [`yolo-training`](https://github.com/ultralytics/skills/blob/HEAD/skills/yolo-training/SKILL.md)   | Platform cloud/remote training, local train/val, arguments, results, troubleshooting                                             |
| [`yolo-tuning`](https://github.com/ultralytics/skills/blob/HEAD/skills/yolo-tuning/SKILL.md)       | Platform experiment comparison, improvement playbook, `model.tune()`, Ray Tune                                                   |
| [`yolo-inference`](https://github.com/ultralytics/skills/blob/HEAD/skills/yolo-inference/SKILL.md) | Platform Predict/endpoints, local predict, Results API, tracking, Solutions                                                      |
| [`yolo-export`](https://github.com/ultralytics/skills/blob/HEAD/skills/yolo-export/SKILL.md)       | Platform/local ONNX/TensorRT/CoreML/Core AI/OpenVINO/LiteRT/NPU export, quantization, benchmarking                               |
| [`platform-cli`](https://github.com/ultralytics/skills/blob/HEAD/skills/platform-cli/SKILL.md)     | Scripting Platform with `ul cloud`: resources, dataset inspection, cloud training, model analysis, exports, deployments, billing |

Each skill is a `SKILL.md` of procedures, decision tables, and gotchas, with Codex and ChatGPT presentation metadata in `agents/openai.yaml`. Version-volatile catalogs (weight names, argument tables, export formats) live in companion files beside it. Package facts are grounded against `ultralytics` v8.4.174; Platform flows are grounded against the current [Platform documentation](https://docs.ultralytics.com/platform).

## 📦 Install

Install the `ultralytics` package, including all [requirements](https://github.com/ultralytics/ultralytics/blob/main/pyproject.toml), in a [**Python>=3.8**](https://www.python.org/) environment with [**PyTorch>=1.8**](https://pytorch.org/get-started/locally/).

[![PyPI - Version](https://img.shields.io/pypi/v/ultralytics?logo=pypi&logoColor=white)](https://pypi.org/project/ultralytics/) [![Ultralytics Downloads](https://static.pepy.tech/badge/ultralytics)](https://clickpy.clickhouse.com/dashboard/ultralytics) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/ultralytics?logo=python&logoColor=gold)](https://pypi.org/project/ultralytics/)

```bash
pip install ultralytics
```

On Python 3.11+ this also installs the `ul` CLI used by the `platform-cli` skill; it ships in the [`ultralytics-platform`](https://pypi.org/project/ultralytics-platform/) dependency, which can also be installed on its own.

For alternative installation methods, including [Conda](https://anaconda.org/conda-forge/ultralytics), [Docker](https://hub.docker.com/r/ultralytics/ultralytics), and building from source via Git, please consult the [Quickstart Guide](https://docs.ultralytics.com/quickstart).

[![Conda Version](https://img.shields.io/conda/vn/conda-forge/ultralytics?logo=condaforge)](https://anaconda.org/conda-forge/ultralytics) [![Docker Image Version](https://img.shields.io/docker/v/ultralytics/ultralytics?sort=semver&logo=docker)](https://hub.docker.com/r/ultralytics/ultralytics) [![Ultralytics Docker Pulls](https://img.shields.io/docker/pulls/ultralytics/ultralytics?logo=docker)](https://hub.docker.com/r/ultralytics/ultralytics)

### Claude Code

```bash
claude plugin marketplace add ultralytics/skills
claude plugin install yolo@ultralytics
```

<details>
<summary>Develop from a local clone</summary>

```bash
git clone https://github.com/ultralytics/skills
claude plugin marketplace add ./skills
claude plugin install yolo@ultralytics
```

</details>

<details>
<summary>Try it without installing anything</summary>

Launch a session with the plugin loaded from the repo directory, leaving your installed plugins untouched:

```bash
git clone https://github.com/ultralytics/skills && cd skills
claude --plugin-dir .
```

</details>

### Codex

```bash
codex plugin marketplace add ultralytics/skills
codex plugin add yolo@ultralytics
```

Restart Codex to use the installed skills.

<details>
<summary>Develop from a local clone</summary>

```bash
git clone https://github.com/ultralytics/skills && cd skills
codex plugin marketplace add .
codex plugin add yolo@ultralytics
```

Restart Codex after edits. To pull new versions of the GitHub source, run `codex plugin marketplace upgrade ultralytics`, then `codex plugin add yolo@ultralytics`.

</details>

### Other agents (Cursor, Gemini CLI, ...)

```bash
npx skills add ultralytics/skills
```

<details>
<summary>Single skills, global install, manual copy</summary>

```bash
npx skills add ultralytics/skills --skill yolo-training # one skill only
npx skills add ultralytics/skills -g                    # global (~/.claude/skills/) instead of ./.claude/skills/
```

Or simply copy (or symlink) the folders under `skills/` into your agent's skills directory.

</details>

## 🛠️ Design notes

- Skills are divided by lifecycle stage and user intent, not by model family.
- Frontmatter is portable: `name` + `description` only.
- Each lifecycle skill covers both the Platform UI and the local Python/CLI path where applicable.
- Every skill defers to the installed version at runtime: `yolo checks` (version), `yolo cfg` (valid arguments), and error messages beat any table in these files. The Platform CLI skill defers to `ul version`, `ul cloud <resource> <operation> --help`, and the live `/openapi.json`.

## 🔒 Data and network access

The plugin contains only instructions; nothing runs when it loads. The commands it suggests can download packages, weights, datasets, and the public Platform API schema, and `ul cloud` commands upload the files you pass them to [Ultralytics Platform](https://platform.ultralytics.com) with your API key. The `ultralytics` package also sends anonymous usage analytics; turn them off with `yolo settings sync=False`.

## 💡 Contribute

Ultralytics thrives on community collaboration, and we deeply value your contributions! Please see our [Contributing Guide](https://docs.ultralytics.com/help/contributing) for details on how to get involved. We also invite you to share your feedback through our [Survey](https://www.ultralytics.com/survey?utm_source=github&utm_medium=social&utm_campaign=Survey). A huge 🙏 thank you to all our contributors!

[![Ultralytics open-source contributors](https://raw.githubusercontent.com/ultralytics/assets/main/im/image-contributors.png)](https://github.com/ultralytics/ultralytics/graphs/contributors)

## 📄 License

Ultralytics offers two licensing options to accommodate diverse needs:

- **AGPL-3.0 License**: Ideal for students, researchers, and enthusiasts passionate about open collaboration and knowledge sharing. This [OSI-approved](https://opensource.org/license/agpl-3.0) open-source license promotes transparency and community involvement. See the [LICENSE](https://github.com/ultralytics/skills/blob/HEAD/LICENSE) file for details.
- **Enterprise License**: Designed for commercial applications, this license permits the seamless integration of Ultralytics software and AI models into commercial products and services, bypassing the copyleft requirements of AGPL-3.0. For commercial use cases, please inquire about an [Ultralytics Enterprise License](https://www.ultralytics.com/license).

## 📮 Contact

For bug reports or feature suggestions related to these skills, please use [GitHub Issues](https://github.com/ultralytics/skills/issues). For general questions, discussions, and community support, join our [Discord](https://discord.com/invite/ultralytics) server!

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