Dstack Presets logo

Dstack Presets

OrganizationPopular
dstackai
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.

Overview

Publisherdstackai
Repositorydstack
Skill namedstack-presets
Stars
2.3K
Forks
262
Bundled files
Instructions only
LicenseMPL-2.0
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by dstackai on GitHub. Read the source before you install it.

Installation

Install the Dstack Presets AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/dstackai/dstack.git /tmp/dstack
mkdir -p .claude/skills
cp -r /tmp/dstack/skills/dstack-presets .claude/skills/dstack-presets
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dstack Presets in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Dstack Presets on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Dstack Presets is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Frequently asked questions

What does the Dstack Presets AI skill do?

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.

Why use Dstack Presets on TypingMind?

Because you install it once and use it with any model. Dstack Presets is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Dstack Presets in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dstackai/dstack/tree/master/skills/dstack-presets. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dstack Presets?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Dstack Presets?

As many as you like. As long as a model supports skills, you can use Dstack Presets with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Dstack Presets AI skill free?

Yes. It is published on GitHub by dstackai under the MPL-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

Related AI Skills

View all
anthropics logo

Internal Comms

anthropics
OrganizationPopular

A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal…

20.9K
176.9K
4 files
View
anthropics logo

Claude Opus 4 5 Migration

anthropics
OrganizationPopular

Migrate prompts and code from Claude Sonnet 4.0, Sonnet 4.5, or Opus 4.1 to Opus 4.5. Use when the user wants to update their codebase, prompts, or API calls to use Opus 4.5. Handles model string…

23.8K
146.3K
2 files
View
garrytan logo

Canary

garrytan
CommunityPopular

Post-deploy canary monitoring. (gstack)

19.9K
133.5K
1 files
View
garrytan logo

Land And Deploy

garrytan
CommunityPopular

Land and deploy workflow. (gstack)

19.9K
133.5K
8 files
View

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇