ultralytics

ultralytics/lite

Instructions file CodexOpenCode

AGENTS.md instructions for ultralytics/lite, covering agents.md, core principles (critical), pr workflow, commands and architecture.

ultralytics/lite

Instructions file

Claude Code instructions for ultralytics/lite, a project described as: A fast, local workspace for Claude Code, Codex, Gemini CLI, Kimi Code, Qwen Code, DeepSeek, OpenRouter, and your shell.

ultralytics/skills

Plugin Claude Code

Ultralytics YOLO agent skills for the full computer-vision lifecycle.

ultralytics/skills

Plugin Claude Code

Agent skills for Ultralytics YOLO and Platform: model selection, dataset annotation, training, tuning, inference, export, and deployment through the web UI, Python package, and yolo CLI.

ultralytics/skills

Instructions file CodexOpenCode

AGENTS.md instructions for ultralytics/skills, covering agents.md, core principles (critical), pr workflow, commands and architecture.

ultralytics/skills

Instructions file

Claude Code instructions for ultralytics/skills, a project described as: Agent skills for Ultralytics YOLO, covering models, datasets, training, tuning, inference, tracking, and export.

ultralytics/skills

Skill Claude CodeCodex

Use when uploading, annotating, building, converting, analyzing, or debugging datasets in Ultralytics Platform or local YOLO — Platform dataset management and Smart Annotation, data.yaml, YOLO label .txt formats, COCO/DOTA/mask conversion, auto-labeling, splits, validation, and errors like "no labels found" or mAP…

ultralytics/skills

Skill Claude CodeCodex

Use when exporting or deploying Ultralytics YOLO models in Platform or code — the Platform Export tab and yolo export/model.export() for ONNX, TensorRT, CoreML, OpenVINO, LiteRT, NCNN, ExecuTorch, and NPUs (RKNN, QNN, Hailo, Ascend, IMX, Axelera, DeepX), FP16/INT8 quantization, benchmarking, and non-Python runtimes.…

ultralytics/skills

Skill Claude CodeCodex

Use when testing, running, or deploying Ultralytics YOLO inference in Platform or code on images, video, webcams, or streams — Platform Predict and dedicated endpoints, model.predict()/yolo predict, Results API boxes/masks/keypoints, persistent tracking, annotated video, and Solutions such as counting, heatmaps…

ultralytics/skills

Skill Claude CodeCodex

Use when choosing or comparing Ultralytics models in Platform or code — picking a model family (YOLO26/YOLO11/YOLOv8, YOLO-World, YOLOE, SAM/SAM2/FastSAM, RT-DETR, YOLO-NAS), size (n/s/m/l/x), task variant (-seg, -sem, -cls, -pose, -obb, -depth), pretrained checkpoint, open-vocabulary or promptable…

ultralytics/skills

Skill Claude CodeCodex

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…

ultralytics/skills

Skill Claude CodeCodex

Use when improving or comparing Ultralytics YOLO models in Platform or code, or running hyperparameter search/autotraining — Platform experiment comparison, the systematic improvement playbook, model.tune() genetic evolution, Ray Tune, search spaces, and deciding whether tuning is worthwhile. For one training run and…

ultralytics/skills

Skill Claude CodeCodex

Use for ANY task involving Ultralytics Platform, the ultralytics Python package, yolo CLI, YOLO model weights (.pt), dataset annotation, training, validation, prediction, tracking, export, deployment, or the detect / segment / semantic / depth / classify / pose / OBB vision tasks.