Agent skill

Dstack Presets

by dstackai in dstackai/dstack

Create and manage dstack presets: a toolkit that streamlines model inference optimization with agents, and a portable preset format.

MPL-2.0Auto-check passedDevOps & Cloud

Install Dstack Presets

skills CLI
$ npx skills add dstackai/dstack --skill dstack-presets -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install dstackai/dstack dstack-presets --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/dstackai/dstack.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dstack-presets .claude/skills/dstack-presets && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
dstack-presets
GitHub stars
2.3k
Token cost
~403 tokens
SKILL.md length
164 words
Files
1
Skills in repo
3
Repo updated
First seen
Licence
MPL-2.0

At a glance

Create and manage dstack presets: a toolkit that streamlines model inference optimization with agents, and a portable preset format.

  • Explicitly asks to create a preset
  • SKILL.md covers Overview and How to use presets
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Manage existing presets

What it does

Dstack Presets is an agent skill from dstackai/dstack. 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.

Its SKILL.md is about 400 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering LLM inference and serving and Container orchestration. It works with Kubernetes, NVIDIA AI Platform, Docker and Python. The repository describes itself as: A unified orchestration layer for heterogeneous AI compute. It standardizes how to manage compute and run training and inference on GPU clouds, Kubernetes, VMs, or bare-metal… The licence is MPL-2.0.

When your agent uses it

  • Explicitly asks to create a preset
  • Manage existing presets
  • Not for deploying
  • Serving a model

Example prompts

  • “/dstack-presets”

What it can do on your machine

Read from SKILL.md and the folder at commit 0d578c8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • dstack.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Dstack Presets loads about 403 tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 164 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~403

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from dstackai/dstack at commit 0d578c8, republished under its MPL-2.0 licence (© dstackai). 164 words, ~403 tokens.

Download SKILL.mdSave it as .claude/skills/dstack-presets/SKILL.md (or your agent's skills folder).
name
dstack-presets
description
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.

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

© dstackai, MPL-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/dstack-presets of dstackai/dstack.

Open the folder on GitHubat commit 0d578c8

Compare with similar skills

Dstack Presets next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Dstack Presets compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Dstack Presets this skilldstackai/dstack2.3k—~403Automated safety check: PassMPL-2.0
Tao Launch WorkflowNVIDIA/skills3.5k—~4.5kAutomated safety check: NotesApache-2.0
Model Serving Kubernetessickn33/agentic-awesome-skills47k1 repos~2.3kAutomated safety check: PassMIT
Model Serving Kubernetesmajiayu000/claude-skill-registry6661 repos~2.1kAutomated safety check: PassMIT
Helm Dev EnvironmentNVIDIA/OpenShell15k—~4.9kAutomated safety check: PassApache-2.0
Alibabacloud Ecs Sec Userspacealiyun/alibabacloud-ecs-troubleshoot-skills148—~2.6kAutomated safety check: NotesApache-2.0

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Questions about Dstack Presets

What does Dstack Presets do?

Create and manage dstack presets: a toolkit that streamlines model inference optimization with agents, and a portable preset format. Dstack Presets is an agent skill from dstackai/dstack. Create and manage dstack presets: a toolkit that streamlines model inference optimization with agents, and a portable preset format.

When should I use Dstack Presets?

Dstack Presets fits situations like: explicitly asks to create a preset; manage existing presets; not for deploying; serving a model.

How do I install Dstack Presets in Claude Code?

Run `npx skills add dstackai/dstack --skill dstack-presets -a claude-code`. Or copy the skill folder (skills/dstack-presets in dstackai/dstack) into .claude/skills/dstack-presets in your project. Claude Code loads it when a task matches its description.

How do I install Dstack Presets in Codex?

Run `npx skills add dstackai/dstack --skill dstack-presets -a codex`. Or copy the skill folder (skills/dstack-presets in dstackai/dstack) into .agents/skills/dstack-presets in your project. Codex loads it when a task matches its description.

Can I use Dstack Presets in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add dstackai/dstack --skill dstack-presets -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dstack-presets, .gemini/skills/dstack-presets, .github/skills/dstack-presets and .opencode/skills/dstack-presets in your project.

What does Dstack Presets need to run?

SKILL.md names no scripts, command-line tools or credentials: Dstack Presets is instructions for the agent only.

Does Dstack Presets access the network?

SKILL.md names 1 domain. As links in the text: dstack.ai. This is read from the text; nothing was executed.

Is Dstack Presets safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Dstack Presets use?

Dstack Presets is published under the MPL-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dstack Presets use?

About 403 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Dstack Presets?

Skills that share tags, products or a category with Dstack Presets: Tao Launch Workflow (NVIDIA/skills, 3.5k stars), Model Serving Kubernetes (sickn33/agentic-awesome-skills, 47k stars), Model Serving Kubernetes (majiayu000/claude-skill-registry, 666 stars) and Helm Dev Environment (NVIDIA/OpenShell, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dstack Presets?

dstackai (a GitHub organization) maintains it in dstackai/dstack, which has 2,272 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on October 7, 2026.

Source: dstackai/dstack on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.