Tao Launch Workflow
NVIDIA/skills
The mandatory pre-launch gate and four-verb execution contract for every TAO workflow or action.
Create and manage dstack presets: a toolkit that streamlines model inference optimization with agents, and a portable preset format.
$ npx skills add dstackai/dstack --skill dstack-presets -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install dstackai/dstack dstack-presets --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "dstack-presets" agent skill from https://github.com/dstackai/dstack/tree/master/skills/dstack-presets into .claude/skills/dstack-presets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dstack-presets", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/dstackai/dstack/tree/master/skills/dstack-presetsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add dstackai/dstack --skill dstack-presets -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install dstackai/dstack dstack-presets --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dstackai/dstack.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/dstack-presets .agents/skills/dstack-presets && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dstack-presets" agent skill from https://github.com/dstackai/dstack/tree/master/skills/dstack-presets into .agents/skills/dstack-presets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dstack-presets", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add dstackai/dstack --skill dstack-presets -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install dstackai/dstack dstack-presets --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dstackai/dstack.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/dstack-presets .cursor/skills/dstack-presets && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dstack-presets" agent skill from https://github.com/dstackai/dstack/tree/master/skills/dstack-presets into .cursor/skills/dstack-presets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dstack-presets", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/dstackai/dstack.git --path skills/dstack-presets--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add dstackai/dstack --skill dstack-presets -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install dstackai/dstack dstack-presets --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dstackai/dstack.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/dstack-presets .gemini/skills/dstack-presets && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "dstack-presets" agent skill from https://github.com/dstackai/dstack/tree/master/skills/dstack-presets into .gemini/skills/dstack-presets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dstack-presets", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install dstackai/dstack dstack-presetsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add dstackai/dstack --skill dstack-presets -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/dstackai/dstack.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/dstack-presets .github/skills/dstack-presets && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "dstack-presets" agent skill from https://github.com/dstackai/dstack/tree/master/skills/dstack-presets into .github/skills/dstack-presets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dstack-presets", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add dstackai/dstack --skill dstack-presets -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install dstackai/dstack dstack-presets --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dstackai/dstack.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/dstack-presets .opencode/skills/dstack-presets && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dstack-presets" agent skill from https://github.com/dstackai/dstack/tree/master/skills/dstack-presets into .opencode/skills/dstack-presets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dstack-presets", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
dstack-presetsCreate 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. 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.
Read from SKILL.md and the folder at commit 0d578c8. It shows what the files ask for, not the result of running them.
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.
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.
Links to these hosts (documentation or services it may open):
dstack.aiFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from dstackai/dstack at commit 0d578c8, republished under its MPL-2.0 licence (© dstackai). 164 words, ~403 tokens.
.claude/skills/dstack-presets/SKILL.md (or your agent's skills folder).Use /dstack for CLI commands, YAML fields, apply behavior, fleets, and other
dstack syntax. This skill covers creating and managing presets.
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:
dstack preset commandsWhen NOT to use this skill:
dstack skill)Follow the presets documentation.
© 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
Just SKILL.md in skills/dstack-presets of dstackai/dstack.
Open the folder on GitHubat commit 0d578c8
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dstack Presets this skilldstackai/dstack | 2.3k | — | ~403 | Automated safety check: Pass | MPL-2.0 | |
| Tao Launch WorkflowNVIDIA/skills | 3.5k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 | |
| Model Serving Kubernetessickn33/agentic-awesome-skills | 47k | 1 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Model Serving Kubernetesmajiayu000/claude-skill-registry | 666 | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Helm Dev EnvironmentNVIDIA/OpenShell | 15k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 | |
| Alibabacloud Ecs Sec Userspacealiyun/alibabacloud-ecs-troubleshoot-skills | 148 | — | ~2.6k | Automated safety check: Notes | Apache-2.0 |
NVIDIA/skills
The mandatory pre-launch gate and four-verb execution contract for every TAO workflow or action.
sickn33/agentic-awesome-skills
Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server.
majiayu000/claude-skill-registry
Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server.
NVIDIA/OpenShell
Start up, tear down, and configure the local Kubernetes development environment for OpenShell.
aliyun/alibabacloud-ecs-troubleshoot-skills
Linux 用户态安全入侵检测与取证工具,专为 AI Agent 设计。自动判断服务器是否被入侵, 提供完整证据链和可执行修复建议。51 个安全分析器覆盖进程/网络/认证/持久化/Rootkit/ 恶意软件/内存取证/容器逃逸等 12 类检测维度,10 个数据采集器全面采集系统状态, 映射 103+ MITRE ATT&CK 技术,支持 standalone/docker/k8s 三种部署模式。
Orchestra-Research/AI-Research-SKILLs
Optimizes and serves LLMs on NVIDIA GPUs with TensorRT-LLM, covering quantization, in-flight batching, multi-GPU parallelism and the trtllm-serve command.
dstackai/dstack
Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven.
dstackai/dstack
dstack is an open-source control plane for GPU provisioning and orchestration across GPU clouds, Kubernetes, and on-prem clusters.
Works with
Categories
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.
Dstack Presets fits situations like: explicitly asks to create a preset; manage existing presets; not for deploying; serving a model.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Dstack Presets is instructions for the agent only.
SKILL.md names 1 domain. As links in the text: dstack.ai. This is read from the text; nothing was executed.
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.
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.
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.
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.
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.