CodexCursorGeneric
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Dstack
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
skill CodexCursorGeneric
01
At a glance.
A compact read before the deeper capability notes and official setup links.
02
Core features.
Feature cards focus on what the tool helps users do, not generated setup commands.
It streamlines development, training, and inference, and is compatible with any hardware, open-source tools, and frameworks.
[2026/02] dstack 0.20.8: Skills
AI agents like Claude, Codex, and Cursor can now create and manage fleets and submit workloads on your behalf.
dstack automatically manages provisioning, job queuing, auto-scaling, networking, volumes, run failures,
$ npx skills add dstackai/dstack
Connection issues: Verify server status, check authentication, ensure network access to backends
Docs sources are in mkdocs/docs/ with extra contributor notes in contributing/.md.
Use attribute docstrings without leading newline.
04
Agent / Skill / MCP / Workflow fit.
This panel keeps technical format separate from the user-facing AI category.
05
Official setup path.
Generated install snippets are intentionally not mirrored here because they drift. The page links to source-owned setup docs instead.
06
Evidence and adoption notes.
These notes help a user decide whether to investigate the official project further.
Source repository last pushed at 2026-05-19T21:36:37Z.
Generated from source metadata; confirm operational details in the official project before adopting it.
Review the upstream license, maintenance activity, and issue history before using it in production.
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