dstack-presets

Create and manage dstack presets: a toolkit that streamlines model inference optimization with agents, and a portable preset format. Use together with the dstack skill, and only when the user explicitly asks to create a preset or manage existing presets, not for deploying or serving a model.

DevOps 与云2.3kskills/dstack-presets/SKILL.md

安装

把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性，你确认后才安装。

读取 https://funcoding.ai/skills/dstackai/dstack/dstack-presets/install.md ，按里面的步骤帮我安装这个 Skill。

SKILL.md

dstack Presets

Use /dstack for CLI commands, YAML fields, apply behavior, fleets, and other dstack syntax. This skill covers creating and managing presets.

Overview

Presets offer two things: a toolkit that streamlines model inference optimization using agents, and a portable format that deploys the final preset to any cloud, Kubernetes cluster, or bare-metal fleet. A preset holds the serving configuration that produced the result, the benchmark it reached, and the exact hardware it was verified on.

Presets are used for three kinds of work: finding an optimized baseline, optimizing through patching source code, and supporting new hardware.

When to use this skill:

The user explicitly asks to create a preset, or to optimize model inference via a preset
Managing already created presets: watching sessions, listing, exporting, and deleting them via dstack preset commands

When NOT to use this skill:

Deploying or serving a model: use a service instead (see the dstack skill)

How to use presets

Follow the presets documentation.

Configuration reference | CLI reference

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