Individual skill
vlm-segmentation
Choose and evaluate VLM or segmentation pipelines, including text-conditioned detection, masks, part labels, model-license constraints, and measured GPU deployment choices. Use when a task has a VLM or segmentation component; route pure diffusion prompting, training, or serving to its specialized skill.
skills/ai-ml/vlm-segmentation/SKILL.md
Source commit 849719987d9c0d6ed973bdbce8ed37b266d3b1f3
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- Last checked
- Nov 7, 2026
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- Repository stars (not skill ratings)
- 214
- Repository last updated
- Nov 8, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agents Repository topic
- claude Repository topic
- claude-code Repository topic
- llm Repository topic
- machine-learning Repository topic
- prompt-engineering Repository topic
- skills Repository topic
- mcp Repository topic
- agent-harness Repository topic
- harness Repository topic
- devops Derived category
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SKILL.mdcore · 4,509 bytesreferences/diffusion-engineering.mddoc · 10,388 bytesreferences/gpu-deployment.mddoc · 12,175 bytesreferences/vlm-segmentation.mddoc · 7,986 bytes
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# VLM + Segmentation + Diffusion Engineering
Скилл охватывает три тесно связанных домена. Выбери нужный раздел и загрузи соответствующий reference-файл.
## Навигация по доменам
| Задача | Reference файл |
|--------|---------------|
| Выбор модели сегментации, pipeline "текст → маски", VLM-стек, part-labeling | `references/vlm-segmentation.md` |
| Диффузионные архитектуры, schedulers, обучение, LoRA, text encoder fusion | `references/diffusion-engineering.md` |
| Два инстанса SAM3 на H100, MIG/MPS, memory, профилирование | `references/gpu-deployment.md` |
**Правило выбора:** если вопрос смешивает темы (например, "как деплоить диффузионную модель на H100") — прочитай оба релевантных файла.
