dstackai/dstack · Archived

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.

Installation

$ npx skills add dstackai/dstack --skill dstack-presets

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 2.2K
License LICENSE.md
Default branch master
Open issues 64
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,611 B
  • docs SUMMARY.md 314 B

History

  1. First recorded snapshot · 6 installs

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