Agent Skill
Dstack Prototyping skill
dstack-prototypingdstackai/dstackskills/dstack-prototyping/SKILL.md
Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven. Guides task-first prototyping on real hardware, choosing fleets/backends that can reuse idle instances and caches, checking vLLM/SGLang sources, and verifying the final dstack service with a model request.
always on
80 tokname + description
once used
1,358 tokSKILL.md body
bundled files
0
repo stars
2.3kGitHub
Install the Dstack Prototyping skill
Skills CLI (Claude Code, Codex, Cursor and others)
npx skills add https://github.com/dstackai/dstack --skill dstack-prototyping
Claude Code, by hand (all projects)
git clone --depth 1 https://github.com/dstackai/dstack.git /tmp/dstack mkdir -p ~/.claude/skills cp -R /tmp/dstack/skills/dstack-prototyping ~/.claude/skills/dstack-prototyping
For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.
What it costs your context
Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.
| When | What loads | Cost |
|---|---|---|
| Every session | Name and description | 80 tok |
| When the agent uses it | The SKILL.md instructions | 1,358 tok |
| Only if opened | No bundled files | — |
Until it is used, dstack-prototyping costs about 17× less than the median MCP server we measured (1,363 tokens on every turn). Installing all 3 skills from dstackai/dstack would load 169 tokens of descriptions. Skills vs MCP study
Checks
Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.
Checked 2026-10-22 · method
What's inside
The headings of its SKILL.md. Read the full file on GitHub.
- dstack Prototyping
- Goal
- Choose Where To Run
- Check Serving Sources
- Use A Task Before Service
- Verify As A Service
- Router
- PD disaggregation
More skills from dstackai/dstack
- dstackdstackai/dstack
dstack is an open-source control plane for GPU provisioning and orchestration across GPU clouds, Kubernetes, and on-prem clusters.
2.3k28 tok idle · 6,116 in use - dstack-presetsdstackai/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.
2.3k61 tok idle · 277 in use